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September 16, 2024

SCHOTT Debuts New Ceramic Cooktop Glass That Can Double as Full Color Video Display

Connected Kitchen, Next-Gen Cooking

Tired of boring black-glass cooktops?

How about a cooktop that provides video cooking guides, color images, and more? That’s the idea behind SCHOTT’s new CERAN Luminoir TFT (thin film transistor) display.

At last week’s IFA conference in Germany, SCHOTT announced a new TFT display technology that enabled a full-color touch screen to display high-fidelity video and images. This is a big deal for cooktop manufacturers, who, alongside their customers, typically embrace the sleek black aesthetics of glass-ceramic surfaces. However, using any integrated display would normally mean sacrificing the dark black display associated with high-end ceramic cooktops, as black glass tends to absorb light, making display integration challenging.

However, SCHOTT says they solved this issue by optimizing light and color transmission through the glass-ceramic substrate, enabling the integration of high-resolution TFT displays while maintaining a deep black appearance when the display is off. This allows for the “dead front” effect, which keeps the cooking surface looking clean and like a typical high-end cooktop when not in use, but enabling a multicolor display when activated.

You can see the SCHOTT CERAN Luminoir TFT on display in the video below:

SCHOTT CERAN Luminoir® TFT - “Ready for undiscovered possibilities?”

Could this mean the cooktop surface itself has entered that chat as the preferred video display in the kitchen? Maybe, but it’s early. Over the past decade, various appliance and system manufacturers have jockeyed to position their preferred platform as the primary video display of choice in the kitchen. There was Amazon with its digital assistants, GE Appliances with its video-enabled built-in microwave oven, and Samsung pushing its Family Hub fridge with its large digital displays in the door. However, no one has really pushed the cooktop, mostly because the dark-black ceramic surfaces did not make for very good digital displays.

At least until now. We’ll keep an eye on this space to see if any cooktop makers move to integrate this technology and push their ceramic cooktops to become multimedia hubs. At the very least, expect some appliance brands to use this technology to offer visually rich touch-screen user interfaces, and most likely some of these will be on display by this time next year at IFA.

September 9, 2024

IFA Smart Kitchen Roundup: Appliance Brands Try to Tap Into AI Zeitgeist With AI-Powered Food Recognition

Next-Gen Cooking

This weekend at IFA, several big appliance brands used the show to tell the world that they are all in on AI, mainly through the integration of cameras into their ovens paired with software to enable personalized recipes and customized shopping lists.

Siemens showed off the iQ 700 oven has a built-in camera that recognizes over 80 different dishes and automatically adjusts to the ideal cooking settings. This feature allows users to place food, like a frozen pizza, in the oven and hit start for optimized cooking. The updated model offers more food recognition capabilities than previous versions and includes an optional steam function to achieve a crispy crust on baked goods.

Hisense debuted the Hi9 Series Oven, equipped with AI-powered InCamera technology for intelligent baking with over 140 pre-programmed recipes. The company also introduced a smart fridge in the Hisense Refrigerator PureFlat Smart Series, and its description sounds like they’ve been taking cues from Samsung and the Family Hub. The company described the fridge as “a home appliance control center” that “allows you to adjust temperature settings remotely through the ConnectLife app.”. The fridge also has AI-powered inventory tracking, though the company was light on details about how the tracking feature works.

Beko also let everyone know that they are trying to jam AI into as many things as possible, including their ovens. Like with HiSense and Siemens, they pointed to camera-assisted cooking in their ovens. From the release: “Beko brings AI-assisted camera technology to its Smart Home ovens, delivering a self-improving cooking experience for optimal results in the kitchen whatever the dish. With food recognition and cooking suggestions across more than 30 different food types, the new Beko Autonomous Cooking technology uses AI to finish cooking according to personalized browning levels.”

Ovens with cameras and food recognition aren’t exactly new, as we’ve been seeing this feature for the better part of a decade since June (RIP) debuted the technology. The appliance industry often displays a herd mentality, and clearly, the herd feels they’ve got to show off their AI chops, even if the technology is somewhat pedestrian at this point.

Electrolux Debuts Taste Assist AI on AEG Line

Not every new AI-feature introduction at IFA was tied to integrated cameras and image recognition. Electrolux introduced its AI Taste Assist feature on its AEG line of kitchen appliances. According to the announcement, AI Taste Assist will take recipes from the Internet, import them, and send cooking instructions to the oven, but not before it recommends ways to enhance and optimize the cook. In a demo on-stage by Electrolux at IFA, the company emphasized how the new feature was meant to overcome what they called the “cooking gap”, which they described as the limitations of existing recipes and the enhanced capabilities of modern cooking equipment. The feature that Electrolux primarily promoted to bridge this gap was steam cooking, a feature that was injected into a lasagna recipe in an on-stage demo of the Taste Assist feature by Christopher Duncan, Electrolux’s SVP of Taste for Europe.

One notable absence at Electrolux’s IFA new conference was GRO, the next-generation modular kitchen concept the company announced in June of 2022. All indications are that the Swedish appliance brand has not made any progress in commercializing GRO, probably partly due to the company’s struggles over the past couple of years. The company laid off approximately three thousand employees last year, and earlier this year, it saw the departure of its longtime CEO, Jonas Samuelson, as the company continued to struggle post-pandemic and in the fast of increased competition from Asian appliance brands.

SideChef Unveils AI Feature in App That Creates Step-by-Step Recipes From Photos of Food

SideChef recently introduced RecipeGen AI, a new beta feature that generates step-by-step recipes from a photo of any dish. Users can upload pictures of meals from restaurants or social media, and the app will provide a shoppable recipe based on the image.

From the release: “We are living in exciting times, where every inspiration can become a person’s reality,” says SideChef Founder & CEO, Kevin Yu. “At SideChef we’re excited to be the first to use AI to allow any home cook to make their food inspiration a reality for themselves and loved ones, with a single photo!

CNET writer Amanda Smith gave the app a test drive and came away with mixed feelings. While the app successfully identified many ingredients, it missed key components in some cases, such as sourdough focaccia and strawberry butter. It also occasionally added ingredients that weren’t in the dish, like bell peppers, leaving Smith feeling the accuracy was somewhat hit or miss.

Smith’s takeaway: Succes “depends on the recipe. It has a hard time with nuance and, like other AI tools, tends to make it up if it’s unsure. It’s a handy little app that could be used to inspire new ideas and ingredient concoctions or if you’re in a restaurant and don’t want to bother the waiter with dish details.”

Samsung Food Also Debuts AI-Powered Shopping Lists From Photos

SideChef isn’t the only smart kitchen company debuting photo-to-recipes/shopping lists powered by AI in their apps. At IFA last week, Samsung announced new AI-powered meal planning and food management features. The Vision AI feature now allows users to add ingredients to their Food List by simply taking a photo with their smartphone, expanding beyond the previous limitations of Samsung’s Family Hub smart fridge. This list can be used to suggest recipes, prioritize items nearing expiration, and automatically update after meals are cooked or ingredients are purchased.

Additionally, the company announced a new premium tier called Samsung Food+, a $7/month subscription service offers personalized weekly meal plans, tailored to users’ nutritional goals and dietary preferences, and tracks macronutrients and caloric intake. This premium tier also integrates more advanced AI functionality, allowing users to customize recipes and receive a full week of meal recommendations, helping reduce food waste and simplify grocery shopping by making the app a central hub for food management and meal preparation.

September 6, 2024

Midea Debuts First Countertop Appliances to Use Ki Wireless Power Standard

Next-Gen Cooking

Seven years after the Wireless Power Consortium first started working on a standard for countertop kitchen appliances, Midea announced the first product that works with the Ki standard. According to a story in The Verge, Midea announced its Celestial Flex Series of products, which includes a blender, steamer, and kettle, at the IFA show in Berlin.

Midea, one of China’s largest appliance brands, hasn’t said when its Ki lineup will ship, pricing, or regions to which it will ship. It also has not indicated if they are working on a Ki-compliant cooktop, (though it wouldn’t matter much to customers since any Ki-compliant cooktop should work). However, they did announce a new all-in-one built-in oven called the Midea One that has a built-in air fryer and automated multi-step cooking function capabilities.

The announcement of the first products is a big milestone for any standard, and Ki is no exception. And while it’s good to see a major manufacturer commit to the standard, the better part of a decade is a pretty long time for a standard to finally make it to market, which is probably why—as we reported earlier this year—some companies have taken it upon themselves to build wireless power products that don’t use the standard.

It will be interesting to watch if Cloen or others who have attempted to build non-Ki-based wireless power kitchen products will now begin to embrace Ki. My guess is they will since proprietary technologies are an uphill battle, particularly when trying to convince retailers to jump on board.

Initial Ki products with integrated transmission coils are expected to be indication cooktops, but in the long term, WPC expects the technology to be installed under the counter on quartz, granite, and marble countertops.

August 19, 2024

Sous Vide Specialist Anova Informs Community Its App Is Going Subscription, and It’s Not Going Well

Connected Kitchen

Last week, Anova CEO Steve Svajian announced that the company will begin charging a subscription fee for new users of its sous vide circulator app starting August 21st, 2024. However, existing users who have downloaded the app and created an account before this date will not be impacted by the change. These users will be grandfathered into free access to the app’s full features.

Svajian explained that the decision to introduce a subscription fee stems from the fact that “each connected cook costs us money,” a cost that has become significant as the number of connected cooks now numbers in the “hundreds of millions.” The new Anova Sous Vide Subscription will be priced at $1.99 per month or $9.99 per year.

As Digital Trends noted, this announcement comes on the heels of Anova’s decision to sunset app connectivity for older Wi-Fi and Bluetooth sous vide circulators.

Unsurprisingly, the news has sparked discontent among Anova users. There are currently 195 comments on the Anova post announcing the new subscription, the majority of which express dissatisfaction, with many users stating, “I’m done with Anova.”

For instance, one user commented:

“I liked the product and bought it for friends and family as a gift. I will no longer be using this product and regret ever supporting this company.”

Another user remarked:

“You must have watched Sonos app troubles and thought, ‘Hold my beer.’ Charging your customers for your inability to innovate is a doozy!”

As a long-time Sonos user, I can relate to the frustration expressed in the Sonos comment, having witnessed how the music streaming hardware pioneer damaged its reputation with a glitchy app. While the Anova app may not be as central to the user experience as the Sonos app (I personally prefer using the on-device controls for the Anova), it highlights how upset customers become when a company alters or disrupts a previously satisfactory experience.

However, it’s important to recognize that smartphones have taught us that connected devices have a limited shelf life. Over time, products age, and companies like Apple, Samsung, and now Sonos and Anova, have made it clear that they can’t support old hardware indefinitely, particularly when maintaining apps incurs ongoing costs related to development, web services, and customer support.

The challenge for companies like Sonos and Anova is that consumers don’t perceive all connected electronics the same way, especially those that were initially free to use and expected to have a long lifespan. We’ve become accustomed to paying substantial sums for our phones and their associated monthly service fees, and despite this investment, most of us have accepted the forced obsolescence model that the smartphone industry has ingrained in us.

In contrast, when it comes to other devices, like connected cooking appliances, we tend to expect them to work indefinitely without additional costs. We assume that this new experience—connected cooking—will continue without requiring us to pay for the same level of service we previously enjoyed for free.

Considering the broader trajectory of Anova and its parent company, Electrolux, this news is not entirely surprising. Electrolux, like many appliance companies, has faced challenges in recent years, including laying off three thousand employees last fall. Despite these difficulties, they have continued to operate Anova as a relatively independent entity. Unlike other major brands that have shuttered their smart kitchen acquisitions, Electrolux appears to be making a concerted effort to keep Anova going in a tough economic environment.

It remains to be seen how this move will affect the brand. The backlash is predictable, but I wonder if the outrage is primarily coming from a vocal minority. I suspect that the “100 million connected cooks” figure is somewhat exaggerated, as Anova claims to have powered over 100 million cooks on its website. I also believe that many of these cooks, like me, are from users who simply plug in the device and use it directly without relying on the app.

August 8, 2024

Loch Launches Second-Gen Tiny Dishwasher With the $299 Capsule Solo

Connected Kitchen

Ever since Tetra unexpectedly got people excited about the idea of tiny dishwashers in 2018, the category has had mixed success.

Some, like the Bob, have shipped but, unfortunately, haven’t made it stateside. Others, like the Shabosh, seem to be stuck in development hell, with backers wondering when they will ship. As for the dishwasher that kicked off our obsession with small-footprint countertop dishwashers, it never made it out the door and sold its assets last year.

However, those in the US looking for a tiny dishwasher have had an option: The Capsule dishwasher, which shipped to backers in December 2022 and is now available in the US. Soon, tiny dishwasher users will have another option as Loch Electronics, the Scottish company behind the Capsule, is launching a Kickstarter campaign for its second-generation countertop dishwasher, the Capsule Solo.

According to an announcement sent to The Spoon, the Capsule Solo was “designed in response to customer demand for a more affordable option.” Solo pricing will start at $299 at launch, which is $100 less than the first-generation Capsule dishwasher. This pricing includes a bottom rack with a cutlery basket, a clean water tank, and inlet and outlet hoses.

The Solo looks quite similar in size and form factor to the original Capsule, including the signature tall-standing design (reminiscent of a gaming PC casing) that allows for cleaning a frying pan or other taller dishes. According to the just-launched Kickstarter page, the company plans to ship the Solo to backers starting in December of this year.

And just like the original, users can either plumb the Capsule into their kitchen or simply place the device near the sink, where it will drain when the wash cycle is finished. The Solo is also extremely portable, with a handle to carry it from room to room or out to your RV.

While the company isn’t disclosing any shipment figures for the original Capsule, they did tell us that the original Capsule campaign was the most successful Scottish crowdfunding campaign of all time. It raised £566,605, which is $721 thousand. According to the company, across all platforms, the Capsule raised $1.2 million.

Given the lower price and previous track record for success, it wouldn’t be surprising if the company’s newest tiny dishwasher exceeds the funding totals of the original.

August 1, 2024

Smart Kitchen Roundup: Suvie Adds Air Fry to Cooking Robot, Combustion Launches ‘MeatNet Cloud’

Connected Kitchen, Foodtech

It’s been a quiet summer in the world of kitchen tech, but over the past week, some interesting news has dropped. Here’s a roundup of the stories from this past week:

Suvie Rolls Out Suvie 3.0 Plus With Airfry

Suvie, the company behind the multi-zone kitchen cooking appliance with built-in refrigeration, announced today the launch of its Suvie 3.0 Plus. The 3.0 Plus adds air-frying capabilities to the appliance, powered by the addition of dual convection fans, one in each cooking zone. This means users of the new model can air fry in one zone while using any one of the other 15 cooking modes in the other zone.

According to CEO Robin Liss, the addition of air frying was in part due to feedback from the Suvie community. Liss says they’ve added other new features, including a new ‘ Mix & Match’ mode that allows users to to prepare different meals in each zone simultaneously.

“A lot of people like to have a Chinese takeout night,” Liss told The Spoon. They’ll buy orange chicken and maybe Mongolian beef, and you can cook the orange chicken in the top zone and the Mongolian beef in the bottom zone. Mix and Match mode lets you do that.”

The new Suvie 3.0 Plus will be priced at $429 with a meal subscription plan. The company will also continue to sell the Suvie 3.0 base model, which will remain at $299 with a meal plan. Liss says they hope to ship the new model to customers in late September.

Combustion Adds ‘MeatNet Cloud’ and SafeCook

Combustion, the maker of the Predictive Thermometer, announced this week that they have added two new features to the 8-sensor device: MeatNet Cloud connectivity and SafeCook.

If you’re wondering what the heck MeatNet is, it’s Combustion’s trademarked term for its ad hoc Bluetooth network that connects its thermometer, the Combustion display and the app on a smartphone. With the addition of MeatNet Cloud, Combustion thermometer users can now monitor a cook live and in real-time from anywhere.

To enable MeatNet Cloud, you have to jump through a few set-up hoops. You’ll have to enable a smartphone or table device as a bridge (the Combustion thermometer only has Bluetooth, it needs a Wi-Fi powered device to deliver the cooking data to the cloud), and once your bridge device is connected (and left at home when you leave), users can monitor the state of the cook with another mobile device while they are taking a run to the store to get some BBQ sauce or wood chips for their smoker.

Combustion also announced the addition of SafeCook, which the company says “uses “integrated” or cumulative bacterial destruction to determine food safety. It adds up the bacterial body count at every step in the cooking process.” This means that Combustion has essentially incorporated all the recommended USDA and FDA temperatures into the app for each type of meat needed to ensure that bacteria is effectively killed. Users who turn on the SafeCook feature will be alerted when the food is safe to eat.

Combustion CEO Chris Young often creates elaborate (and fun to watch) videos around specific topics his company is working on, and this mission to kill food bacteria is no exception. You can check out his new video about how to balance the fine line between making sure your food is cooked enough to kill any bacteria and not overly dry.

Nymble Offloads AI to Cloud and Adds New Features as It Inches Toward Manufactuing

Cooking robot startup Nymble sent out an update this week on new features and their plan to start shipping their cooking robot to customers later this month.

According to the update sent by company CEO Raghav Gupta, the company recently enabled the Nymble cooking robot to offload AI compute to the cloud. The company’s AI, which is fairly straightforward machine learning that enables the appliance to optimize cooking and understand specific routines and preferences of users, has up to this point run on a small model embedded in the appliance. Nymble now says that it AI computation can now be run in the cloud on its larger and faster AI model (which it dubs ‘Teacher’). In the case of slow connectivity, Nymble says that AI compute will run locally on the appliance in its scaled-down AI model (dubbed ‘Student’).

In addition to its addition of cloud AI compute, Nymble has also enabled users to find recipes based on dietary preferences and allergen restrictions and to skip instruction steps in a guided recipe (which, according to the company, was a top request among its beta testers).

These updates come as the company nears the ship date for its cooking robot. According to Gupta, the Nymble robot will start mass production later this month.

July 23, 2024

A Look at the Vayu One Delivery Robot, Which Navigates Bike Lanes to Deliver Your Food

Delivery & Commerce, Robotics, AI & Data

Ever since the founders of Skype launched Starship over eight years ago, we’ve seen an explosion of small-footprint delivery robots that navigate sidewalks to deliver their payloads to consumers.

While these small robots sidestep many of the challenges and regulatory oversight needed for on-road travel, they are, in general, pretty small and usually only travel short distances.

However, a new company called Vayu, founded by former Apple and Lyft execs, hopes to make the robot delivery market (and our groceries) arrive just a little faster by jumping off the curb and into the bike delivery lane with its new robot. The Vayu One, which was formerly introduced today, is a larger form-factor robot which can carry up to 100 pounds of payload and move at 20 miles per hour.

You can see the Vayu One in action in the video provided by the company below:

A Look at Vayu's Bike Lane Delivery Robot

According to the company, the robot uses a transformer-based model (likely a vision language model) combined with a “passive sensor” that enables the robot to navigate without lidar (the laser-light-based navigation technology used by many autonomous automobiles). The company says the robot can navigate roads, and in-store environments, and also drop off the payloads at its delivery destinations unassisted (you can see it do just that in the video).

The video shows a worker using voice commands to control the robot and load packages as it navigates around the store. Unlike the smaller sidewalk robots like those of Serve and Starship, the Vayu One is somewhat sizable, about the length of an e-bike and approximately three feet wide. This makes me wonder how it will navigate within the narrow corridors of some small-format stores.

Interestingly, the company says it has already obtained regulatory approval to operate on some public roads in certain cities. I’m interested to see which cities have greenlit the company, as my guess is that putting a robot onto a public street – even if it’s a bike lane – would require a significant amount of regulatory hoop-hopping compared to sidewalk delivery.

According to the company, they have a deal with a “large e-commerce player” to deploy 2,500 robots to enable ultra-fast delivery. If the deal holds up, Vayu would quickly eclipse the fleet numbers of Serve (which has about 100 robots in the field) and other players in the autonomous bot delivery space.

Vayu is backed by blue-chip VC Khosla Ventures, which recently led a $12.7 million funding round.

July 11, 2024

Chef Robotics Comes Out of Stealth to Show Off Robot and Reveal Early Customers

Robotics, AI & Data

This week, Chef Robotics, the San Francisco-based food robotics startup founded by Rajat Bhageria, stepped out of stealth mode and into the spotlight by unveiling its robot and disclosing some of its high-profile partnerships.

In an interview with The Spoon, Bhageria, an investor and technology founder, showcased Chef, a food robot that assembles cooked and ready-to-eat food in high-volume environments. This focus, says Bhageria, is much different from the bulk of robots in the market, most of which focus primarily on prep and cooking in restaurants and food service.

“Restaurants have low volume, making automation difficult because jobs are generalized,” Bhageria explained. “In high-volume operations, jobs become specialized, making automation feasible. We focused on getting robots into the field quickly to gather real-world training data, improving our food manipulation AI.”

Bhageria, a master’s graduate of Penn’s Robotics and Machine Learning Lab, started his first company in high school, a social network for young writers. During college and grad school, he founded Third Eye, a company using computer vision to assist the visually impaired. This project opened his eyes to the immense potential of AI and computer vision. “Computer vision and AI are immensely powerful. Even back in 2014, I saw AI’s potential impact on our lives.”

Along the way, Bhageria started an early-stage venture capital company called Prototype Capital with an investment thesis that helped shape his own company: applying new innovations to old industries. The organizing principle here was that big ideas and proprietary data sets were not just confined to Silicon Valley but seeded in older communities built around these mature industries that would benefit most from technology transformation.

While he and his Prototype partners invested in businesses nestled in rust-belt epicenters and other mature communities, he continued to work on – and crystalize – his idea for Chef. As he interviewed executives from these companies and asked about their pain points, he realized that food preparation is one of the most labor-constrained sectors in the US. As he dug deeper, it dawned on him that food assembly and plating were more labor-intensive than prepping and cooking (which often only needed a single employee for each).

“Prepping and cooking can be done in bulk, but assembly scales linearly with output,” Bhageria said. “Automating assembly can save labor and increase volume and revenue.”

Bhageria believes his approach to food assembly first mirrors that of Tesla, which tackled the high-end, high-performance sector with the Roadster before moving on to mass-market production models.

“Going to restaurants is like trying to build the Model 3 from the get-go,” said Bhageria. “If Elon and Tesla tried to build the Model 3 from the start, it probably wouldn’t have worked.”

However, Bhageria believes that the lowest-volume, most distributed form of cooking robot – a home robot – isn’t in the cards, at least for his company.

“I am kind of of the opinion that at-home robots for food will not be a thing. People don’t want to maintain a robot in their house, buy it, refill it, or take care of it. They prefer having meals made in ghost kitchens by robots and delivered to their homes.”

Bhageria believes in the future, consumers will be touched by food robots, but only in a world where robot-assembled food in centralized kitchens will mean more variety and lower cost food for everyone.

“Cooking will go to people who still cook because they love it,” Bhageria predicted. “But more and more of the world will get their food made in ghost kitchens by robots, delivered by robots.”

In addition to revealing his robot and his company’s approach to food automation to the world, Bhageria also disclosed some of his company’s early clients. He said his customers include Amy’s Kitchen, a well-known frozen prepared meal company, and Sunbasket, a direct-to-consumer meal provider with a substantial contract manufacturing arm. Another company Chef Bombay, a Canadian food company, has integrated Chef Robotics’ into their operations.

Bhageria said his customers span a number of industries, primarily those that need high-volume assembly of ready-to-eat meals. These industries include hospitals, airlines, delivery services, grocery stores, and frozen prepared meals.

“These environments are extremely manual, with people scooping ingredients for long hours in cold rooms. Our robots help automate this process, addressing labor shortages and increasing production volume.”

You can see my full interview with Bhageria below.

Chef Robotics Founder Rajat Bhageria Unveils his Company's Robot and Talks About The Future

July 9, 2024

The Thimus T-Box Will Measure Brain Waves to Tell You if Someone is Lying About That New Casserole

Business of Food, Education & Discovery, Foodtech

So you think you’re a good cook, do ya?

Let me let you in on a little secret: If you’re basing that impression on what people told you about that new casserole recipe or side dish you brought to the potluck, there’s a good chance folks are just being polite.

Sure, not always. Many Spoon readers can no doubt make their way around a kitchen. But the reality is that not everything we cook is a winner, and often times, folks are trying not to hurt your feelings.

But what if we could actually read their brainwaves to determine how they feel about food? With a new system by a company called Thimus, we can now measure brain activity as people try out food to determine how they respond to it.

The new system, called the T-Box, monitors brain activity with a headset decked out with four frontal electrodes. It collects data from the brain’s electrical activity, which the company calls ‘implicit data,’ and then analyzes it alongside survey response data (which they call ‘explicit data’) to determine how a subject feels about a certain food product. They claim they understand how each sense contributes to the final customer perception of a specific food.

Thimus believes that measuring a person’s brainwave activity alongside their responses to survey responses will give a more accurate understanding of how a person really feels about food. The reason for this is it’s often hard for humans to put into words how they feel about a specific food and to articulate whether they like it or not.

Interestingly, the company also claims that its proprietary system can inform and interpret neurological data with a qualitative understanding of the participants’ cultural heritage.

“Our methodology connects the dots of sensory, neurophysiological, and cultural data. Because it is true that our brains all function alike, but they all live experiences in unique ways.”

The Thimus T-Box is being rolled out in partnership with flavor company Kalsec, which will offer it to commercial customers for testing and at a new facility called House of Humans at Wageningen University in The Netherlands, one of the world’s leading food and ag research universities.

So, for now, If you were hoping to strap one of these contraptions on your dinner guests to see how they really feel about your cooking, you’ll have to wait until Thimus releases a home version (or somehow coax your test subjects to take a trip to the Netherlands).

You can watch a video of Thimus using neurosensing technology (pre-T-Box) to gauge subjects’ reactions to alternative proteins below to get an idea of how this technology works.

Thimus & KM ZERO on Alternative proteins - #thimustested

July 2, 2024

Samsung’s 2024 Family Hub Gets Enhanced Food Recognition Features With Latest Update

Connected Kitchen

This past week, Samsung announced they were updating software for those with a Family Hub fridge.

The update has a bunch of new features, many of which were announced at CES in January, but the most interesting one is what looks to be its much-improved food recognition capability. The new computer vision-powered features were are specific to the latest edition to the Family Hub line, the official name of which is the incredibly long Samsung Bespoke 4-Door Flex Refrigerators with AI Family Hub+ and AI Vision Inside.

According to the Samsung release, the latest update will allow the 2024 Family Hub to recognize more than 33 food items, including fruits and vegetables. Samsung notes in the release’s small print that they will continue to expand the number of items the system can recognize and that if the item is blocked by your hand, it will be listed as “unrecognizable.” The new update will also recommend recipes based on what you have on hand, including “thousands of recipes from the Samsung Food community.”

The update also includes enabling ‘Samsung Tap View, ‘ which mirrors content from Samsung Galaxy phones, such as photos or videos, as well as recipes you find on your phone.

On one hand, we have to hand it to Samsung. They’ve been at the smart fridge thing for a decade, and they’ve evolved the fridge from being primarily a fridge with a big monitor to stream music and video to one that looks like it’s finally getting smart inside with the camera and update.

As is always the case with Samsung, the company has so many platforms it can get confusing. One example is that the company made a big to-do almost a year ago when they announced Samsung Food, which is the evolution and Samsung-ification of the Whisk app. Samsung Food essentially looks to be the consumer electronics giant’s central recipe and food planning app, yet there’s just one passing mention of it in this latest update.

My guess is that in 2025, the integration between Samsung Food and Family Hub will be much farther along, and we may ultimately see the Samsung Food and Family Hub food and recipe management merged under one monolithic Samsung food and fridge app.

May 29, 2024

A Decade Before The ChatGPT Recipe Craze, a Cooking Show Champ Helped IBM Train Chef Watson

Next-Gen Cooking, Robotics, AI & Data

By now, most everyone has tried their hand at prompt engineering ChatGPT or another LLM to create a decent recipe.

But a decade and a half ago, well before the current craze of making recipes with generative AI, IBM was trying to figure out how to make Watson start cooking. The supercomputer-powered AI, which was probably the first real-world AI most of us knew by name, had just broken into the broader American consciousness after it had beaten human players Ken Jennings and Brad Rutter in a Jeopardy tournament. Now, IBM was looking for ways to showcase how the technology could help people be more creative, and they identified cooking and recipes as the next world to conquer.

Around this time, the Watson team teamed up with the Institute of Culinary Education (ICE) to help train Watson. James Briscione, who had won Chopped season 2 a couple of years before and was the ICE’s director of culinary research, remembers those early days when IBM computer scientists filed into his kitchen.

“The first day we set up, the Watson team came to the kitchens at ICE, walked in with a laptop, flipped it open, logged into an interface that IBM was hosting, and we started parsing datasets.”

This meant going through and looking at ingredient combinations based on cuisine style, dish type, and flavor profiles of different dishes, as well as breaking down each type of ingredient into the various flavor and aromatic compounds into building blocks, which allowed Watson to then process millions of flavor combinations and recommend them to ICE chefs. During the process, the Watson team made sure the human chefs remained as ana integral and necessary part of the AI feedback loop.

“For the majority of the project, it did not give us recipes, it gave us ingredient combinations,” said Briscione. “And then I did the work then to translate that into the recipe.”

Briscione said taking Watson’s combination suggestions and combining them into a recipe helped unlock the creativity of him and the other chefs.

“As a sort of a thought experiment, it was even more interesting because then we could take an ingredient output, I would take it and interpret that ingredient output one way. Another chef could take that exact same ingredient output and interpret it completely differently. So in inspiring creativity, it was really, really powerful.”

Nowadays, Briscione is applying what he’s learned to build a new company that helps train large language models to better understand food. He will discuss this new company at the Smart Kitchen Summit next week.

You can watch the entire interview and see the transcript below. .

The Chef Who Helped Build Chef Watson: A Conversation With James Briscione

Transcript

Michael Wolf: I’m excited to have James Briscione who is a chef I’ve been following for a while. James, you do so many things. You’re an author. You’re a Food Network personality. And you’re one of those rare chefs that have been dabbling with AI longer than pretty much most people even working with AI at all. So it’s exciting to have you. Thanks for coming.

James Briscione Yeah, Michael. Excited to chat here excited about SKS coming up in June. This will be a great event and can’t wait to get there.

Michael Wolf Yeah, we’re going to hear you on stage talking about your experiences and what you’re looking forward to with the integration of AI. But for those who don’t know you, tell us a little bit about your background and what you’ve done over your career.

James Briscione As you said, I’m a chef first. I started as a dishwasher at the age of 16, worked my way up to some of the top kitchens in the country. James Beard award winning kitchens that I was at the helm of. Four Star Fine Dining in New York City. Kind of did it all. With that really elevated fine dining background, I moved into education at the Institute of Culinary Education in Manhattan and really was in the right place at the right time when IBM came knocking and said, ‘we’ve got this crazy idea. We’ve got this thing called Watson, that just conquered Jeopardy. And now we want to see if it can help people. We know it can answer questions. We want to see if it can help people be more creative.’

And they thought about music, they thought about visual arts, but you know, felt those were too subjective and culinary arts was a very objective area for this. So when they came to meet with us, they met with all the instructors, kind of talked about the process of development and creating dishes, and how you work as a chef. Having just been the first two-time champion on the show Chopped on the Food Network, the way I sort of process and put together flavors and ingredients was exactly what they were trying to build with Watson. So that started about a four-year relationship working with the core team there at IBM to develop Chef Watson, which I now know was recipe generative AI. Almost 11 years ago, before we started building it, I had no idea what those words even meant. And AI was only something you saw in Will Smith movies.

Michael Wolf So those early days, you’re helping with Watson. Are they bringing you into a kitchen at IBM headquarters? What does that exactly mean? Are they monitoring you with cameras, or are you saying, ‘hey, these are what flavors are trying to tell a computer what a flavor is?’

James Briscione First, as we talked about it, I was still in that Chopped competition mode. So I was like, ‘if I’m going to cook against this computer, I’m going to kick its ass. I’m actually going to prove that this thing can’t do it better than a human. The first day we set up, they came to the kitchens at ICE (the Institute of Culinary Education), walked in with a laptop, flipped it open, logged into an interface that IBM was, was hosting, and we started parsing datasets and going through and generating ingredient combinations based on a number of different factors based on cuisine style. so original cuisine, a type of dish and, and, and a core ingredient to inform, the flavor profile of, of the dish. So we’d say Italian grilled lobster. And then it would generate trillions of possible ingredient combinations that could be used to create a dish that were typical Italian ingredients that kind of fit in with what it knew about a grilled lobster recipe or a grilling recipe and a lobster recipe overlay. And then use that lobster to as kind of the core flavor profile to then build sort of that flavor tree off of that core ingredient, which that process, that’s how I tend to think about creating a dish, but getting down to the molecular level, understanding all of the aromatic compounds in the food, how those flavors relate to one another, why they go well together. I never looked at information that way or understood it in that form. And it was mind blowing to process tens of thousands of aromatic compounds in every dish, just like that.

Michael Wolf So it was essentially building, I don’t know if the right word is ontology, but kind of trying to dissect food at a more atomic level and then understanding what the commonalities are. You know, saying ‘lobster often goes in these types of dishes’ or ‘Hey, maybe it works with these types of dishes.’ So really trying to create the data building blocks so Watson can then say, hey, here’s a unique flavor idea, recipe idea you may not have thought of with your small human brain.

James Briscione Exactly. And, you know, for the majority of the project, it did not give us recipes. It gave us ingredient combinations. And then like, you know, it was kind of, I did the work then to translate that into the recipe. But as sort of a thought experiment, it was even more interesting because then we could take an ingredient output, I would take it, and interpret that ingredient output one way. Another chef could take that exact same ingredient output and interpret it completely differently. So in inspiring creativity, it was really, really powerful. And actually, there were some cool examples of where we would take the same generation, go to separate sides of the kitchen, and come back in the middle with our finished dish. You couldn’t even tell that they started at the same place.

Michael Wolf You’ve watched over the past decade, this expansion of folks trying to use technology to understand the way we cook better. Those early days of watching Watson were pretty seminal and informative, and that was the first time I remember seeing articles, maybe in the New York Times, saying ‘Watson beat Jeopardy, now it’s trying to cook’. So as you’ve watched this evolve over the past decade, what have you been thinking about? And what have you learned maybe about AI and its intersection with food? Is it something now you’re more excited about than ever?

James Briscione 100% more excited than ever. I think the potential here to simplify, to streamline, which to me is kind of the ultimate promise of AI, to make our lives better, to organize and streamline. I think where obviously it gets tricky, is one, it’s new. So there’s going to be some inherent distrust of it. One bad recipe, one recipe that doesn’t work and people are going to bail on it as well.

Michael Wolf Right, right. We’ve all done those bad recipes with ChatGPT. Like that just sounds awful.

James Briscione Yeah, and you know, I mean, it’s going to be interesting to watch this landscape too now because the majority of what’s out there are just some, you know, some basic GPT wrappers. And if any of these copyright lawsuits get through, a lot of these datasets, these sources, start to dry up or become more restricted. So one thing I’m starting to work into is building a new dedicated model for recipe generation with nutrition and flavor inputs that really can optimize your food specifically for you. If you want to get down as far as the genome, I think that’s some functionality that is off in the future, but generally, as an active 44-year-old male who lives in a hot climate, AI can tell me exactly what I should be eating on a day-to-day basis to optimize me for what I do.

Michael Wolf That’s interesting. And I think the startup you’re working on is called CulinAI. And so that’s exactly it. And so is this something you’re building your own large language model or you’re building something that can integrate with maybe some of the other large language models? Tell us a little bit about it.

James Briscione Yeah, so, and I’m actually working with the original developer of Chef Watson. It’s kind of a hybrid model where we are going to be employing some large language models, but also some kind of dedicated pieces that would be unique to this model, particularly the flavor science and the nutrition data input. And then, really, kind of the secret sauce is in the selection because, again, we know that the large language models can generate lots of great things that look like good recipes, but training it to then go back through those and select out the ones that are actually right is where it all comes together.

Michael Wolf Well, I’m excited to hear more about that at Smart Kitchen Summit. You are someone who works in a professional kitchen. You’ve been on TV, won awards, you have your own restaurant. But there’s also the consumer, right? Someone who, like me, doesn’t know what they’re doing. And one of the reasons I got interested in the Smart Kitchen in the early days is because I thought that maybe technology can help me become a better cook. How do you think average everyday consumers who aren’t like you can use technology tools like AI to help them cook better?

James Briscione We talked about kind of one of the biggest benefits AI is to make our lives better, to simplify processes and personalization, right? And I think that’s really where it comes in to find the right information. Even just how to get your ingredients organized at the beginning of the week to set up for, hey, ‘here’s what I’m going to, here’s what I’m going to cook for the week’, building out a meal plan that utilizes all of the ingredients that you have so that you don’t, at the end of the week, have half a pint of cherry tomatoes, three quarters of a head of celery, two onions, and half a butternut squash. It’s all just sitting there because you bought it all because you had to have it for that recipe, and now it all is just kind of like laying to waste, and you leave it there until it’s time to finally throw it away. And I think some of those, I think a lot of those things are what discourage people or kind of keep people from cooking. So, AI tools that can teach you to approach that process the way I do as a chef of not just looking at, okay, here’s what I’m gonna do for dinner for Tuesday night, but okay, as I’m doing dinner for Tuesday night, here’s how we get lunch for Wednesday ready.

Michael Wolf Right, right.

James Briscione And another chunk of dinner for Thursday, all kind of set up and set aside so that that’s easier too. And I think a lot of those tools are some of the things we’re looking at building into CulinAI, and I think those are the pieces that I’m excited about.

Michael Wolf Well, I’m excited to hear you in Seattle in June at Smart Kitchen Summit. James, where can people find out more about you?

James Briscione Most social media platforms at James Briscione. That’s probably the best way to find me, LinkedIn, all of the typical places, just right under my name, I’m there. There’s not many Brisciones around, so.

Michael Wolf All right, man, we’ll see you in a bit. Yeah, there aren’t. That’s a great, unique name. All right, James, we’ll see you soon.

James Briscione All right.

May 28, 2024

Tovala’s Keeley Kabala: Success in Smart Kitchen Requires Listening to Your Customers

Connected Kitchen, Foodtech, Next-Gen Cooking

Back in 2016, an early-stage startup called Tovala appeared in just the second Smart Kitchen Summit Startup Showcase. Company CEO David Rabie showed off the first-gen oven and discussed the vision for a combination of a hardware appliance and a food subscription service.

Fast forward eight years later, and Tovala has become one of the true success stories in the smart kitchen, amassing a large and enthusiastic user base for its oven and an extremely high lock-in rate for its meal delivery service.

I caught up recently with Tovala’s COO, Keeley Kabala, to talk about Tovala’s business in 2024 and where he sees his company and food delivery going over the next decade.

One of the key takeaways for me was that Tovala still focuses heavily on adding value for its customers through its oven, even if that means enabling users to take advantage of the multi-function cooking automation that is one of the key differentiators for the Tovala. The company sells two models of oven today – a five-in-one and a six-in-one – and as of today they have over one thousand CPG products in the database that they can run scan-to-cook where the oven will have an optimised set of cooking instructions that can bring the different forms of heat (and steam) into the cooking process.

According to Kabala, many of those CPG products are available at Costco.

“Right now we have dozens of Kirkland products that can scan to cook right from the beginning,” said Kabala. “So people many times are leaving the store with scannable items that have cook cycles already programmed in for their oven to use.”

Not only does Tovala have scan-to-cook for Costco’s Kirkland brand items, but it is also selling its oven in select Costco, which Kabala believes will give them more exposure to different customer types, which will give them new data points around which to build product around customer preferences.

It’s this listening to customers, says Kabala, the is critical for their future success.

“If we’re willing to listen to our customers, they’ll give you a chance to iterate.” said Kabala. “If you don’t listen, you might not be around forever. It’s been great to see just how vocal people are, too. They really care. So they don’t hold back on their feedback. We just have to make sure we keep listening.”

You can watch the interview below as well as read the transcript of the full conversation.

If you’d like to connect with Keeley in person, he will be at the Smart Kitchen Summit next week. You can get your tickets at the SKS website.

A Conversation with Tovala's Keeley Kabala

Michael Wolf: All right, I’m here with Keely Kabala, not Keely Tovala, because it sounds like some people get that mixed up because the name sounds so familiar.

Keeley Kabala: Yeah, it’s got the same last few letters, but yes, it was named before I got here. I didn’t choose the name of the company, but it’s led to confusion and many jokes along the way.

Michael Wolf: And I imagine one of those jokers is David Rabie, the cofounder and CEO of the company I’ve spoken with. He’s been at Smart Kitchen Summit to some of it, but we’re excited to have you come out to Seattle in June to talk about what you guys are doing at Tovala. Tovala is a really interesting company because they are one of the real success stories in this idea of like bringing new technology into the kitchen. And also you have this interesting pairing with a food delivery service. You guys have really been a shining star in that space, combining a food delivery service with the hardware. We’ll talk about that in a little bit, but before we jump into like what’s going on with Tovala, tell us a little bit about your background and how you got where you are.

Keeley Kabala: Sure. My whole professional career has kind of been in the consumer appliance space. Did my very first internships at Whirlpool and Fellows, making appliances and paper shredders. I went over to Whirlpool full-time and had a variety of different interesting and challenging assignments all over the world. I got to live in Europe for a year, in China for a year, launched products and dishwashers, refrigerators. And interestingly enough, David and Brian, the other co-founder of Tovala, asked me to be their first employee in 2015. I didn’t understand the concept of Tovala and turned them down. And they asked me again a few months later and again a few months later. And finally, after they launched the Kickstarter and it became a little bit more real, I ended up joining the team as the VP of Hardware Engineering. And so, at that time, they had the Gen 1 oven, which had a lot of pros but also had a lot of cons. And my job was to work with the team to create what was our second gen oven. And it’s kind of the base for the two SKUs that we have right now. So we developed that in 2017, 2018, and it launched November 2018 and kind of has been our bread and butter on the hardware side ever since. And then on the ops side, I joined the food ops team kind of in a support role in early 2019. We were trying to figure out, we had just opened our own food facility on the South side of Chicago. And I kind of came over just a little advisement type role for our COO at the time on cost and quality and kind of just took over OPS along the way. And then, you know, we really started to explode in the back half of 2019. And it’s been a wild ride throughout the pandemic and opening food facilities along the way. But yeah, that’s been my Tovala journey. Originally, I came for the hardware side, and now I spend most of my time on the food side, but both teams report to me.

Michael Wolf: And you have that engineering mindset, obviously, build products throughout your career. And I would imagine that an engineering mindset really helps as you try to optimize the food delivery side and the operation side.

Keeley Kabala: Yeah, yeah, I think we have a good team of engineers that bridge both the oven and the food side. I think that’s probably one of our competitive advantages compared to just maybe a meal kit company that doesn’t have the engineering firepower that we have, whether it’s on the hardware side, the ops engineering side or the software side. You know, some of our engineers have developed very sophisticated thermal modeling to make sure our food is safe. And also the packaging is as light as possible for customers, based on zip codes, et cetera, et cetera, et cetera. And getting to work with them has been a good challenge. I think there’s, you know, one of our unique advantages is having the control of the food because we produce the food, ship the food, and then have the kill step and the quality control in actually the customer’s house because we’re using our, you know, chef curated cook cycles to cook the food. So it’s a good engineering systems problem to solve.

Michael Wolf: The current hardware, which like you said, is the foundation of what you helped build. One of the core ideas that I’ve always found with Tovala is it has steam, which I think obviously makes the food a lot better. You know, steam ovens haven’t really become widely deployed in consumer kitchens in the US but I think it really does make food better. So talk about, you know, the feature set within the oven and why it works so well with the food you guys deliver.

Keeley Kabala: Yeah, we have a five-in-one and a six-in-one. The five in one has the bake, the broil, the air fry functionality, as well as toast and reheat. And then, on our six-in-one, we’ve added steam. So steam is just another cooking mode that allows to preserve moisture inside of some of the more delicate food items to reduce browning for other delicate food items. And actually in many ways can help accelerate the cook because you’re getting the cooking from the steam surface and the heat transfer going through the food. So, you know, we’ve gone into air frying. We were kind of, I think, a little late to getting into air frying. We were debating that for a long time on the differences between it and, you know, just bake, convection bake. But we launched the air fry model that has the two feet speed fan. It gets really great performance. And then, you know, our six-in-one has the steam functionality that does really great on some of the bread items. case ideas. It comes out really great. The salmon turns out perfect when it’s with steam and then hit with the broil at the end. I think the true advantage is the multi-step cooking where you’re able to change modes and temperatures. And that’s what most of our, you know, Tovala cycles do, whether it’s the scan to cook groceries or the Tovala meals, or some of our customers who really enjoy cooking at home, they create sophisticated cycles on their own. Some people just like to hit bake 400, 15 minutes all the time. Others get a little bit more creative. They have a ramp up with an air fry to get the high velocity airflow in the oven, hit it with bake, and then the broil at the end to get caramelization or whatever the case may be. But yeah, I think our true advantage is the multi-step cooking.

Michael Wolf: And that pairing of your food or even CPGs with the scan to cook with the ability to switch to different modes makes it fairly unique. I think most people just buy something at Costco, put it in the microwave, or put it in their air fryer, and hit go. But you have all these five to six different elements that you can combine. So each food has its own essentially recipe around the cook. Apply a certain amount of heat, you’re gonna finish with this, add some steam, and that’s optimized for each food that you deliver to the consumer.

Keeley Kabala: Yeah, exactly. And it’s also from a food safety standpoint. So it’s a balancing act that our food safety team and our culinary team constantly are trading off on. It’s a unique spot for us to have that, one, that additional kill step in the home. But actually, quality control is something that we actually have. How the food turns out when you cook it, we control that in the person’s house. Most other meal delivery companies, your end result is determined based on how good of a chef you are. And we extend one layer further where our oven is cooking the cook cycles the way our chefs intend at the test kitchen here at HQ. And they’ve gone through several rounds of testing. And the important thing is pairing the protein with the side. And so you can cook chicken a bunch of different ways, but whether it’s paired with mashed potatoes or a rice pilaf or green beans, how it gets to that food safe temperature is going to be different. And so our chefs have to balance that out. And so that’s why each recipe has a unique cook site.

Michael Wolf: And you do work with stuff that people can buy at the grocery store because you have scan to cook. That to me is really helpful. And I think that would be something that consumers more broadly would like if, hey, I could buy something at the store and my cooking device can be optimized around what the optimal cook mode is for that. Maybe that’s a combination of like the food brand working with the appliance maker, but that isn’t really available today beyond like what you guys are doing. Is this something you think maybe more widely available in a 10 year time frame. Maybe that’s with a Tovala or another appliance where essentially the cook and the different elements of the cook can be applied in a more precise manner based on what consumers are putting into their cooking box.

Keeley Kabala: I think for certain customers, that’s definitely the case and definitely a benefit, like not having to check, not having to preheat. I think that’s the other thing that’s like one of our main advantages is anything we’ve scanned to cook in a Tovala, whether it’s a Tovala meal or a CPG type item where you scan the UPC, you set and forget it, you cook it from ambient heat. And so we’ve calculated the preheat and how the oven warms up into the cook cycle. And so I do think that’s another thing. It brings the convenience factor. If you had to always preheat your oven, then remember to come back 10 minutes later, put it in. It’s just one more step that I don’t think customers need or want to do. It’s really a non-value step to them. So we try to eliminate those. And then not every item is going to work. Not every oven item is ovenable. It can’t be cooked with the heaters. Some companies have very delicate packaging. And we don’t want them to melt, so that’s why we don’t pick everything that can be from CPG or from the frozen aisle. But there’s a lot. There’s over 1,000 items at this point in our database. We continue to add to them based on customer’s demand. There’s definitely times of days where this functionality is used quite often. And certain items, whether it’s snacks or breakfasts, are very prevalent use cases for these.

Michael Wolf: So looking forward, I imagine you think a bit about what the Tovala cooking side could look like in a long-term time horizon. Do you guys think you’ll continue to evolve the cooking appliance? Maybe in 10 years, will it be whether it be more automation or different modes of heating? Or do you think consumers just want a basic what you have today and just a little bit of change over time?

Keeley Kabala: I think, I mean, the biggest thing for us right now is, you know, for the history of our company, we’ve always been direct to consumer. And so people are coming to us more with a food need first. And very recently we started in retail. We’re in Costco now with our oven. And so I think we’re getting feedback from our customers on different things they want. So I think it’s like, based on where the starting point of the customer comes in, they’re going to want different functionalities, different capabilities, similar to when we went from the gen one to the gen two oven. You know, the gen one oven didn’t have a bake button on the front of it. We thought everyone wanted the super smart appliance, only app usage, and we very quickly got feedback that we needed to make some tweaks. And so we brought the functionality still in the app, but also to the front of the oven. You know, the gen one had a larger footprint. We needed to change the footprint size. The kitchen counters are so valuable in everyone’s home. We needed to make sure we were optimizing every square inch. And so going into retail now, we’re getting feedback. We’re very early into it. Only been a few months with Costco, but we’re seeing that there’s different functionalities, different features, different use cases. And so I think there will definitely be some tweaks in the hardware and the overall experience in general.

Michael Wolf: That Costco relationship is really interesting to me because when I think of Costco, they obviously sell appliances, but I go there mainly for food. I usually get the same things. You guys combine the oven with a kind of consumable. Once people buy the oven through a Costco, can they then pick up the Tovala food at Costco or would only be delivered to you guys, to them?

Keeley Kabala: So right now we haven’t started any food in retail. That’s on a roadmap of things to consider. Right now we have dozens of Kirkland products that can scan to cook right from the beginning. So people many times are leaving the store with scannable items that have cook cycles already programmed in for their oven to use. But right now we only sell ovens at Costco. But I think once again, this is our advantage we have is we have the opportunity to go into the other side of the store and start getting some of our products there for quicker trials for customers who aren’t familiar yet as much with Tovala as a food product and only are learning about us first time more on the appliance side.

Michael Wolf: And that’s interesting that you guys have worked with Costco. So some of the food items available at Costco, you can scan to cook. So they’re probably excited about that.

Keeley Kabala: Yeah, they’re super excited about that. I mean, not only are they getting to move our ovens through their store, but it’ll help them move some of their other products as well. And it just kind of brings some from newness and kind of a tech advantage that Costco didn’t have previously on the food side.

Michael Wolf: What are you most excited about when you think about the Consumer Kitchen five years down the road, 10 years down the road? What excites you about that space?

Keeley Kabala: I mean, I think in general, a way to reduce waste. So whether it’s personalization and understanding what people want to eat so they make sure they don’t buy or order the wrong stuff that ends up being wasted or better understanding of inventory management. But I think in general, both food and energy waste are still major opportunities in the kitchen space. And so whether it’s how people get their food, how much food they get, when they get their food, what food they get, I think are all still major opportunities across our business and other businesses. And then, you know, I have a large oven in my home. I worked for a company that made very nice large ovens. I only use the large oven now on Thanksgiving. Like there’s a lot less energy usage by having the right appliance for the right job. And I think for what I need normally, you know, Tovala answers that. I think there’s a lot of other really smart, compact kitchen appliances. And so I think adoption is, I think, been interesting to see, not just us, but other companies as well, you know, gain adoption. And the one thing I’ve always shocked by is how willing people are to try new things in the kitchen and are willing to take on early stage innovation because they are really trying to optimize the food that they eat, their time, and their space in their kitchen. And so that’s why companies like us and many others have existed and continue to get a chance to iterate. If we’re willing to listen to our customers, they’ll give you a chance to iterate. If you don’t listen, you might not be around forever, but it’s been great to see just how vocal people are, too. They really care. So they don’t hold back on their feedback. We just got to make sure we keep listening.

Michael Wolf: Great closing words, Keely Kabala with Tovala. Thank you so much for spending time with me today.

Keeley Kabala: Yeah, have a great day.

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