Close Ad

The Spoon

Daily news and analysis about the food tech revolution

Robotics, AI & Data

Is Posha the Robotic Heir to the Thermomix? The Founders Sure Hope So

For the past five or so years, the emails have landed in my inbox on a steady basis, nearly every month. They’ve included updates on a small startup building a countertop cooking robot named Posha.

The emails, almost always written by the company’s CEO and co-founder, Raghav Gupta, detail progress, both big and small, ranging from software tweaks and field trial insights to news of an $8 million Series A funding round.

The progress has been slow but steady. And over the past year, the company has reached a milestone that most cooking robot startups (especially those targeting the home) haven’t come close to: they’re now building robots using scaled manufacturing, and those robots are arriving in customer homes.

Given that I’ve followed dozens of companies attempting this goal over the past decade, I figured I’d take Raghav up on his invite to see the robot in action and talk with him about what’s next.

So this past Sunday, I headed to an Airbnb Raghav had rented north of Seattle to demo the Posha robot for media and investors. Raghav asked if I wanted to cook a meal with Posha, and within minutes of arriving, the robot was preparing spaghetti Alfredo.

The machine stirred, heated, and timed each step with minimal interaction from me. Posha includes four ingredient containers, multiple spatulas, a spice carousel, and an induction cooktop. A camera watches over the food, analyzing “color, texture, consistency,” and, according to Raghav, provides “human chef-like intelligence.” Users load chopped ingredients, select a recipe, and let the device do the rest. “You just tell Posha you need that, and you walk away,” Raghav explained.

Posha, originally named Nymble (both the robot and the company), has changed significantly from its early days as a college project. “We were two people taking out of our parents’ garage trying to make a cooking robot.”

The first version was a robotic arm, but Raghav said customer feedback led them to pivot. “We had this choice of either repurposing our robotic arm for commercial kitchen use cases or changing our technology altogether to make something that consumers wanted. We chose the latter route because we were in love with the problem we were trying to solve.”

That problem: helping people figure out what to eat on a daily basis. “People like you and me want to eat freshly cooked meals and feed our families freshly cooked meals. But it’s hard to find the time to cook these meals every single day.” He believes this tradeoff, between eating well and having enough time, is what led to a national health crisis. “We are in the middle of a health catastrophe,” he said. “And I think with Posha, it will help America become one of the healthiest countries in the world, at the same time being one of the most productive countries in the world.”

Those are lofty goals, ones I’m pretty skeptical about given the high price tag of the Posha and the nearly non-existent adoption of cooking robots so far. But according to Raghav, he sees his product as a natural evolution of a device that has been quite successful, especially in Europe: the Thermomix.

“I think we have a strong precedent in terms of Thermomix. They sell like a million units every single year, and what Posha is, is actually Thermomix++.”

If there’s a model to aim for, the Thermomix is a good one, and I have to say, the ease with which I was able to make spaghetti Alfredo was reminiscent of the first time I used a Thermomix. In fact, it was essentially what Raghav described, the Thermomix++, in that it required me to do even less once I picked the recipe and hit go. From there, over the next 30 minutes, the Posha added ingredients and cooked the meal to completion.

It’s perhaps this ease of use and the similarity to Raghav’s professed North Star in the Thermomix that helped the company recently raise over $8 million in Series A funding. You’d have to be living under a rock, covered with more rocks, and then some dirt not to realize how hard it is for consumer hardware startups to raise money (let alone a robot cooking startup). The fact that Posha secured funding led by Accel is a sign they may be doing something others in this space haven’t.

So far, Posha has shipped 200 units, with 600 more expected by the end of September. “We’re trying to grow 3X every six months or so,” Raghav said. The product retails for $1,750, with pre-orders at $1,500.

If you’d like to see Posha in action, check out my cooking video below. Raghav will also be speaking about his journey at the Smart Kitchen Summit this week, so if you want to hear more and ask him questions, make sure to grab your ticket..

The Spoon Cooks a Meal with Posha the Home Cooking Robot

From Aspiring Pro Surfer to Delivery Robot CEO with Coco’s Zach Rash

Zach Rash wanted to be a professional surfer. So much so, that in high school, there was more surfing than academics.

That all changed when Rash reached UCLA and met Brad Squicciarini. It wasn’t long before the two spent every waking hour together in a small room building robots.

“We spent like our entire life in this like box at UCLA with no windows, and we’re just building robots from scratch, and it was the best job ever.”

Eventually, the real world came knocking as Rash and Squicciarini graduated and had to find jobs. After applying for many of the same positions, they eventually decided they should just start their own robot company.

“We just had a lot of really strong opinions about what it would take to get these things into the world and make them useful. So… decided to do it ourselves.”

Coco launched in early 2020. “We started building them in our living room and we couldn’t get more wheels… so it was a bit of a sketchy robot.” Still, their first merchant deployment went smoothly. “The first day of the business, I mean, we gave it to a merchant and Brad and I just took turns driving it and fixing it.”

They faced steep financing challenges: “We didn’t have any money… Even if you’re only building a few, you know, it’s still going to cost you tens of thousands of dollars.” They pitched more than 200 investors before raising a modest $50,000 to start. “We thought that was a lot of money and we built a few robots with that and kind of proved out that we could run a service, not just build the robot.”

Their persistence paid off. In June 2025, Coco raised $80 million, led by angel investors Sam Altman and his brother Max, alongside Pelion Venture Partners, Offline Ventures, and others. 

This brought Coco’s total funding to over $110 million, which Rash says the company plans to use to scale its operations and technology.

“Coco Robotics will use the new funds to improve the technology and to scale up its fleet,” Rash told TechCrunch. “The company expects to go from low‑thousands to 10,000 robots by the end of next year.”

According to the company, Coco bots have delivered over 500,000 items to date, working with retailers like Subway, Wingstop, Jack in the Box, Uber Eats and DoorDash.

It’s only been a few short years since Rash was largely concerned about surfing, but now, armed with funding and lots of interest from retail partners, he’s ready to ride to the wave of growth of his robot delivery company.

“We’re building as many as we can as fast as we can.”

Zach will be speaking at SKS 2025 tomorrow, so make sure to get your tickets. You can listen to our conversation on the latest episode of The Spoon podcast below, on Apple Podcasts or Spotify, or wherever you get your podcasts.

This Culinary Tech Inventor Thought He Could Build Some Parts For His Latest Gadget in the US. Then He Called Around.

When kitchen tech inventor Scott Heimendinger started prototyping his latest hardware product, he knew that much of it would need to be built overseas. Still, he was curious whether he could rely on local Seattle-based shops to produce some of the parts.

“I contacted local shops here in Seattle. There are a couple of machine and metalworking shops, and I thought, well, I would like to be a good customer, right? Like I’d love to spend money locally, especially on shops that are doing this kind of stuff.”

But when he called around, Scott quickly discovered that not only were the local shops going to be an order of magnitude more expensive, but they’d also take longer to deliver.

“I said, ‘look, I know this is going to be more expensive than what I’m doing in China, obviously, but maybe we can make this up on the time front.’ Before we even got into real pricing, we were already above 10X. So I said, ‘What about turnaround time?’ [They] said, well, it depends how busy we are, but like, you know, one to six weeks.’”

We’d started talking about the cost and complexity of building in the U.S. because we’d both recently listened to an episode of PJ Vogt’s Search Engine, in which Vogt interviewed YouTuber and engineer Destin Sandlin. Sandlin discussed his years-long effort to manufacture a product in America, and I wanted to get Scott’s take, especially since he’s been navigating the uncertainty caused by new tariffs. As it turned out, he had a lot to say.

One area he pointed to as a critical missing link was the shortage of tooling designers, the specialists who create the molds used to shape plastic parts.

“Tooling fabrication in principle is something that you could just do on a beefy CNC machine… In practice, no. It’s specialized techniques and tools. That knowledge has dried up in the U.S.”

We talked about why capabilities like tooling fabrication and injection molding have largely disappeared from the U.S., and one reason we both agreed on was the lack of trade education, starting as early as high school.

“Some of my favorite classes in high school were sculpture class, learning to use a bandsaw and a drill press,” he said. “I wish more folks in the United States prioritized the hands-on making of stuff.”

I pointed out the strange dichotomy of the past couple of decades, in which Silicon Valley was busy valorizing the maker movement, while at the same time the U.S.’s ability to manufacture at scale was simultaneously being hollowed out. It’s as if we celebrated prototyping, while the infrastructure to mass-produce those ideas was quietly de-emphasized and disinvested in.

“A weird thing that happened, where we talked about, ‘hey, let’s start making stuff and teach our kids to make stuff,'” I said. “But at the same time, America’s ability to make stuff at scale just kind of went up in smoke.”

Scott, for his part, chose to see the upside. Despite the loss of critical manufacturing knowledge and infrastructure, he said it’s still a great time to be an inventor, thanks to how accessible prototyping tools have become.

“I’m of two minds about this. On the one hand, like I love physically making stuff. I wish more folks in the United States prioritized the hands-on making of stuff, and I wish that we hadn’t eroded away these capabilities. On the other hand, it is almost point and click to have these things prototyped, if not mass-produced. And that’s an incredible boon to being a scrappy solopreneur.”.

You can listen to our latest episode by clicking play below, or you can find it on Apple Podcasts, Spotify, or wherever you get your podcasts.

If you’d like to ask Scott a question about his project, the challenges of manufacturing a product or the future of cooking, he’ll be at Smart Kitchen Summit next week. You can get your ticket here.

If video is your preferred podcast consumption format, you can also watch our conversation below:

Why It's So Hard to Build Hardware in America

Thermomix Has Long Been a Leader in Cooking Automation, But Now They’re Going Full Robot

For years, I’ve said that the Thermomix is quite possibly the most successful automated cooking appliance in the world. Sure, it’s not a humanoid robot or what we’ve come to expect from cooking robots in recent years, but the TM6 and TM7 are software-powered cooking appliances that automate and sequence functions in a way that feels surprisingly intelligent, especially compared to typical countertop or built-in kitchen appliances.

But now, if recent moves by Thermomix’s corporate parent, Vorwerk, are any indication, Thermomix may be going full robot. At last month’s Automatica conference in Munich, Thermomix and red-hot German robotics startup Neura Robotics announced a partnership in which Neura’s humanoid robot used Vorwerk’s Thermomix and Kobold vacuum cleaners to perform everyday household tasks.

According to Neura CEO David Reger, optimizing his robots to work with Vorwerk’s cooking and cleaning appliances is a step toward building an aging-in-place platform powered by humanoids.

“Together with Vorwerk, we are redefining household robotics – with intelligent assistants that provide concrete relief for people in their everyday lives: from cooking to independent living in old age,” said Reger.

Even more interestingly, Vorwerk also announced a partnership with AI and chip giant NVIDIA last month. According to the announcement, “Vorwerk is post-training NVIDIA Isaac GR00T N1, an open robot foundation model, to support families around the home, whether seniors looking to maintain their independence, or busy families in need of an extra pair of hands. To post-train the model, Vorwerk is leveraging the Isaac GR00T-Mimic data pipeline to generate large, diverse synthetic motions data to prepare robots for common household tasks such as cooking, cleaning, and more.

“Together with NVIDIA Robotics we are now taking a significant step towards the connected and automated home,” wrote Vorwerk CEO Thomas Rodemann on Linkedin. “Our goal: creating integrated digital/physical ecosystems that support our community in their everyday lives and make the home more convenient for everyone – whether it’s providing busy families with an extra pair of hands or giving seniors more independence.”

When Jensen Huang showed up at CES in January and said that the ChatGPT moment for robotics is right around the corner, I’m not sure if he was thinking about cooking food with the Thermomix, but maybe he was. Vorwerk would be a logical candidate to build true home robot assistants, since progressing rightward on the simple tool to fully-capable robot continuum already and they’ve been the most successful at integrating software with home cooking automation

You can watch the video of the NVIDIA-powered robot making food with the Thermomix in the video below.


Food Assembly Robot Startup Chef Robotics Raises $43M Series A as it Reaches 40 Million Meal Milestone

Chef Robotics has raised $43.1 million in a Series A round to accelerate deployment of its AI-powered food assembly robots, the company announced today. The funding brings the San Francisco-based startup’s total capital to over $65 million, including equipment financing. Avataar led the round, with participation from Construct Capital, Bloomberg Beta, and others.

Founded in 2019, Chef Robotics is building what founder and CEO Rajat Bhageria calls an “AI platform for food.” Rather than building a single-purpose robot, Chef’s system is designed to work in diverse food production environments—learning and adapting through software to new tasks like portioning, topping, or filling.

When I first got a peek at Chef’s system last year, I was intrigued because the company had struck a balance that seemed to elude many food robotics startups. While startups in this space seemed to make either high-volume solutions with limited customizability or use off-the-shelf robotic arms that aren’t made for true high-production, Chef has built a flexible and scalable robotics platform that can be customized for any number of high-volume food production environments.

That’s because while many robotics companies focus primarily on hardware, Chef’s approach centers on a software layer that enables “Embodied AI”—giving physical robots the intelligence to operate autonomously in real-world conditions. Chef’s system combines a robotic arm with AI models trained on millions of real-world examples. These models, powered by production data from early customers like Amy’s Kitchen and Fresh Prep, allow the robots to generalize across new ingredients and dishes. To date, Chef Robotics has helped assemble over 40 million meals.

From the company’s announcement: When we thought about starting with restaurants, we ran into the chicken and egg problem – to enable robots that are flexible enough to add value, we need a highly capable AI, but to get a highly capable AI, we need real-world training data from the customer sites…. Thus, we decided to initially deploy robots in high-mix (read as highly flexible) food production and manufacturing environments where Chef could partially automate a food operation and thus add value in production to customers without requiring 100% full autonomy from the get-go. We built Chef’s systems on modern advancements in AI to make them highly flexible and adaptable enough to “pick” and plate almost any ingredient, no matter how it’s cut, cooked, or grown; this makes them an ideal solution for assembling or plating food.  

The new capital will support scaling up deployments and building out Chef’s sales and marketing teams. The company is currently active in the U.S. and Canada, with plans to expand into the UK next year.

Bridge Appliances Deploys Egg-Making Robot at First Customer

Five years ago, the cofounders behind Bridge Appliances stood in line at a busy breakfast cafe. As minutes ticked by, frustration turned into inspiration. They wondered: What if the preparation of eggs could be automated? That simple question led to the creation of OMM, a countertop egg-making robot. Now, half a decade later, the Bridge team is back in a coffee shop, deploying their robot for their very first commercial customer, Beantrust Coffeebar in Beverly, Massachusetts.

Bridge cofounder Connor White recently described spending the past two months embedded at Beantrust, collaborating closely with owner Erik Modahl and his team. According to White, working alongside baristas, listening to customers, and absorbing the café’s unique culture and operational flow allowed Bridge to tailor OMM’s integration precisely to Beantrust’s specific needs.

As I wrote last year, OMM cooks two eggs in roughly two minutes, enabling Beantrust to serve around 60 eggs an hour. White notes they’ve already seen promising results, with the new sandwich lineup boosting average ticket values by 15%. Currently, one in five customers chooses to add a freshly made sandwich to their coffee order (and that number continues to climb).

This marks a significant milestone for Bridge, which raised $2 million in seed funding from Steve Papa, one of Toast’s earliest investors, in 2021. Moving forward, Bridge is likely to see more growth among small coffee shops or similar establishments that lack full kitchens or grill cooks but still wish to offer breakfast. However, they will need to raise considerably more funding to scale effectively, or they could be a potential attractive acquisition candidate for a company such as Middleby.

Fast-Growing Restaurant Chain MOTO Pizza Is Building an End-to-End Pizza Robot

Last month in Las Vegas, we sat down with one of our favorite restaurateurs, Lee Kindell of MOTO Pizza, to discuss his vision for the future of restaurants. Lee was in town to speak onstage at CES about the industry’s direction, so we made sure to catch up with him for a one-on-one interview.

One revelation that surprised us during our conversation was that MOTO is developing an end-to-end pizza robot—one that automates the entire process, from dough preparation to boxing the finished pizza.

“Our robot is going to be fully autonomous,” Kindell explained. “It takes the pizza from refrigeration, brings it out, proofs it, tops it, cooks it, finishes it, cuts it, and boxes it. So that’s what we’re building right now. It’s truly end-to-end, and that’s what excites me the most.”

As someone who loves both pizza and robotics, I was intrigued by MOTO’s move to develop its own technology. To clarify, I asked Kindell directly about his plans. He confirmed that MOTO is indeed building a fully automated pizza-making solution—one that could potentially integrate with existing automation partners, such as Picnic (Picnic’s pizza robot adds sauce, cheese, and toppings but doesn’t handle cooking, cutting, or boxing).

MOTO has been expanding rapidly, entering new cities and sports venues. Kindell, who started as a hands-on pizzaiolo mixing dough by hand, became a firm believer in automation after an arm injury forced him to adopt a mixer. That moment reshaped his perspective—he realized that automation wasn’t just about efficiency; it was a tool to scale his business while maintaining quality.

Now, Kindell and MOTO are taking that mindset a step further, developing an end-to-end pizza robot to help the fast-growing chain keep up with demand and reach more customers than ever before.

You can watch our full conversation below.

Moto's Lee Kindell on Using AI & Robotics to Make Pizza

How Working the Land (and with Steve Jobs and Michael Dell) Led Tim Bucher to Build a Farming Automation Company

While many tech entrepreneurs dream of retiring as a gentleman farmer, Tim Bucher’s journey took the opposite trajectory. It was only after he bought and started working on his own farm at age 16 that a young Bucher discovered his love for software programming in college. That realization embarked him on a career that would eventually see him working alongside Steve Jobs, Michael Dell, and other Silicon Valley legends.

Yet, despite all his success in tech, Bucher never left the farm behind. In fact, for most of his life, he has straddled the high-tech world of innovation in Silicon Valley and the vineyards of California’s wine country. Now, as the founder and CEO of Agtonomy, Bucher is merging his two lifelong passions—technology and agriculture—to address one of the farming industry’s biggest challenges: labor shortages and operational inefficiencies.

On a recent episode of The Spoon Podcast, Bucher reflected on his early efforts to use innovation to tackle real-world farming challenges. His farm, Trattori Farms, produces grapes and olives—high-value crops that require precise, labor-intensive care. Over the years, he automated irrigation and winemaking processes, but one critical challenge remained: mechanized labor in the fields.

“The gap between rising costs and revenue was closing,” Bucher explained. “I kept automating everything I could, but I couldn’t automate the skilled labor that was needed out in the vineyards and orchards.”

It wasn’t until Bucher watched a documentary about NASA’s Mars rover that he began thinking about how automation could be applied to farming in a way that made sense for both longtime farmers like himself and the manufacturers of the equipment they trust.

“If we can have self-driving vehicles on Mars, why can’t we have them in our orchards and vineyards?” Bucher said. “There’s no traffic on Mars—just like in agriculture.”

This realization led him to found Agtonomy, a company that transforms traditional tractors into autonomous farming machines. But rather than disrupt the farm equipment industry, Agtonomy’s approach is to partner with manufacturers—helping them integrate drive-by-wire and AI technology into their existing models.

“Farmers trust their brands,” Bucher said. “They need the dealer networks, the parts, the service. Buying farm equipment from a startup isn’t realistic. That’s why Agtonomy is helping manufacturers digitally transform, rather than disrupt.”

As AI continues to evolve, Bucher envisions a future where farmers manage their fields remotely—relying on AI agents to analyze data, recommend actions, and deploy autonomous tractors at optimal times.

“Imagine sitting in a command center where AI tells you, ‘Given the soil, weather, and crop conditions, you should send your autonomous tractors out at 9:12 AM on Wednesday,’” he said. “And you just hit ‘Go.’”

While Bucher sees the potential of automated farming, he doesn’t believe technology will replace human farmers—instead, he sees it as a tool to make them more efficient.

“People fear AI taking jobs, but in farming, we don’t have enough labor. This technology doesn’t replace people—it enables them to do more with less.”

For Bucher, Agtonomy was the logical next step, given his lifelong love for both technology and farming. But beyond personal passion, he believes automation is necessary for the survival of modern agriculture.

“Agriculture has to evolve,” he said. “If we don’t automate, we won’t survive.”

You can listen to the full podcast below, or find it on Apple Podcast, Spotify or wherever you get your podcasts.

Is LG’s Majority Stake in Bear Robotics a Sign That Food Robotics Is About to Have Its Moment?

Late last week, LG Electronics announced it had acquired a majority stake in Bear Robotics, increasing its ownership of the San Francisco-based startup from 21% to 51%. According to South Korean newspaper The Dong-A Ilbo, LG initially acquired its 21% stake in early 2024 for $60 million. The company values its latest stake at $180 million, giving Bear Robotics an overall valuation of $600 million.

While a 60%-of-a-billion-dollar valuation might not compare to the staggering figures often associated with AI startups—though recent events, such as China’s DeepThink’s troubles, may prompt reevaluations—it’s a really good valuation for a food tech company, especially in the challenging food robotics sector.

Where Are All The Unicorns?

Anyone who’s been following The Spoon (we were the first publication to write about Bear Robotics in early 2018) knows food robotics startups have had a tough go of it the last few years. High-profile flameouts like Zume have dominated headlines, while quieter exits, such as Mezli and Vebu, have underscored how challenging this is.

Vebu, formerly Wavemaker Labs, played a pivotal role in launching Miso Robotics, creator of the Flippy burger bot, along with other food robotics concepts like Piestro and Bobacino. However, by the time Serve Robotics acquired Vebu Labs last fall, its only notable product in the portfolio was the Autocado, an avocado-coring robot adopted by Chipotle.

Bear Robotics, however, has achieved steady traction in the restaurant and food service industry. This success, combined with LG’s strategic plans to develop a service robot platform for commercial and home applications, has driven its higher valuation. As The Dong-A Ilbo reported, LG plans to create an integrated solution platform that “encompasses commercial, industrial, and home robots” using Bear Robotics’ software to manage various robot products through a unified system.

Service Robots Over Food-Making Robots

What Bear doesn’t provide LG with is an actual food-making robot; instead, it offers a fairly open platform for service robotics in restaurants and other hospitality spaces. At this point, it’s still unclear whether there will be the same level of interest in food-making robots. Some players, like Picnic and Miso, continue to make progress, but they face significant competition for what is undoubtedly a limited number of big quick-service and fast-casual chains that have yet to acquire their own solutions.

Could Serve and Starship be next?

As major tech companies and consumer brands increasingly view robotics as critical to their future strategies—in what Nvidia’s CEO has called “physical AI”—it’s likely that we’ll see more acquisitions in the service and delivery robotics space. Companies with limited proprietary IP (and my sense is LG didn’t have much here) may be particularly desperate to snap up firms similar to Bear that have been around enough to create a foundation of discernable IP and a varied set of products and build a customer base.

Potential acquisition candidates include Serve Robotics, known for its sidewalk delivery robots, and Starship Technologies, a leader in autonomous delivery systems. Both companies have gained traction but operate in an environment where consolidation is becoming inevitable.

Anova Serves Up a Generous Helping of AI With Launch of Anova Precision Oven 2.0

Last week, Anova announced the second generation of its Precision Oven, just over four years after it began to ship the first generation Precision Oven. The Anova Precision Oven 2.0 is packed with a number of new features, including an in-oven camera and Anova Intelligence, a suite of new AI features designed to power new ways for users to assist in the cooking process.

In fact, the company listed a bunch of features currently offered by their AI-powered cooking and a number of features that they are working on. The features the Anova Precision Oven 2.0 currently has include:

  • Ingredient Recognition: The AI system automatically identifies what’s inside the oven with the internal camera.
  • Suggested Cooking Methods: The oven’s AI will suggest cooking methods tailored to the ingredients, ranging from basic roasting to more complex sous vide style.
  • Packaged Food Conversion: The oven will scan the packaging, and the AI will choose the right settings.
  • Recipe Conversion: The company says the Anova Precision Oven 2.0’s AI can convert nearly any recipe to make it work with its settings, with the caveat that this feature will improve over time as it gains more data.

According to Anova, upcoming features for Anova Intelligence include:

  • Assistant Mode: Anova’s AI-powered co-pilot will simplify complex cooking techniques and offer personalized cooking guidance.
  • Complex Meal Creation: When preparing multi-component dishes, the oven will suggest optimal settings for each ingredient, “streamlining” the cooking process for recipes that typically require juggling multiple cooking techniques.
  • Cook Recall: The oven will recognize repeat recipes for dishes you prepare frequently and return to your last-used settings.
  • Doneness Detection: Powered by the internal camera, the oven monitors the cook’s desired crispness level and alerts them when it reaches the preferred doneness level.
  • Auto Shutdown: The oven will detect when a cook cycle has finished and whether food has been removed, then notify you before automatically shutting off.
  • “Clean Me” Reminders: Equipped with an internal camera that monitors for dirt buildup, the oven will remind you when it’s time for a cleaning.

With the addition of the camera and new AI features, it looks like Anova hopes to fill the void left after Weber sunsetted the June oven about a year ago. While some features (like auto-shutdown) don’t seem all that interesting, I am intrigued by features like the coming co-pilot mode.

In addition to the new AI features, the second-gen oven includes even tighter temperature management (powered by three internal temperature sensors and a more powerful on-board processor) and better steam management. The new oven also includes a new app and an additional recipe subscription service for $1.99 a month or $9.99 annually.

All of these new features come with a hefty price tag increase at $1199, double that of the launch price of the first-gen oven. While some may pass on the 2.0 due to the price increase, given the void left by June and the cult following Anova has, I expect the new Anova oven to sell fairly well when it ships.

Robot Delivery Startup Starship Teams Up With European Food Delivery Company Bolt

Sidewalk robotic delivery Starship Technologies announced this week they are teaming up with Bolt, a European multiplatform delivery company, to launch a new food delivery service using Starship’s autonomous robots in Tallinn, Estonia.

The launch, centered in Tallinn, has the potential to reach up to 180,000 residents according to Bolt. Starship’s robots will operate from three Bolt Market locations—Tulika, Pallasti, and Mustika—via the Bolt Food app. During the launch period, customers will get to use the service for free (the companies did not disclose how much the service will cost post-launch).

Starship robots can carry up to three bags of groceries within a 3-kilometer radius. Bolt customers can opt for “robot delivery” through the app, meet the robot outside their location, and unlock it using the app to retrieve their items.

“This collaboration is not just about convenience and choice,” said Ahti Heinla, who cofounded Starship Technologies with fellow Skype cofounder Janus Friis. “Integrating our robots into Bolt’s service offers a scalable, sustainable delivery solution that reduces traffic and emissions. This is an exciting step forward toward greener cities across Europe.”

Starship, which was the first company to launch the first sidewalk delivery robot a decade ago, has completed over 7 million deliveries globally and traveled more than 14 million kilometers in 100 locations worldwide, according to the announcement. Operating at L4 autonomy since 2018, the company says its robots perform 150,000 crossings daily.

The two companies plan to expand beyond Tallin, but have yet to give a timetable for expansion. The news comes a week after Starship became the first sidewalk delivery platform approved for delivery in Minneapolis, delivering from Panda Express, Starbucks and Erbert & Gerbert’s.

When it Comes to Using AI To Shape New Culinary Creations, Ali Bouzari Thinks Food is Mostly ‘All Hands’

In the most recent episode of the Spoon Podcast, I caught up with food scientist Ali Bouzari to discuss his work and get his thoughts on new technologies that are helping to shape the future of food.

I first met Bouzari when he spoke at the Culinary Institute of America a few years ago about how robotics could impact food service and other sectors. At the time, he talked about Creator—a burger restaurant powered by robots—and suggested that food robots could sometimes do things that most food service employees could not replicate. He specifically referred to how Creator’s burger bot could create more intricate structures in the burger patty than possible to enhance mouthfeel.

When I asked him about this on the podcast, he suggested that while yes, there are things technology can do, he was worried about the recent obsession with AI and using it to craft recipes and new culinary creations. He drew a parallel between AI’s notorious difficulty in rendering realistic-looking human hands in artwork and the challenge of using AI in food production.

“You know that recurring motif where somebody will put a seemingly impressive piece of AI-generated imagery up and be like, ‘My God, look at Darth Vader doing this thing in Saturday Night Fever or something.’ And everybody always says, ‘Look at the hands, look at the fingers.’ And there’s always something wrong with the hands. There’s something that is difficult for AI to crack. What I would say it is most of food is hands. Food is basically all hands.”

Bouzari also shared how multiple clients had approached him after playing with generative AI tools to experiment with developing food products. “We have clients being like, ‘Hey, ChatGPT said we should put arrowroot flour in this cookie.’ I think that somebody is feeding all of the AI brains a lot of great information about arrowroot. Because three different people on three different projects have said that AI said, ‘Have you tried arrowroot?’ which is, in a lot of instances, kind of a useless ingredient.

But thinking about things like AI have caught his attention, Bouzari told me the biggest challenge that has his attention nowadays is the impact of climate change and how food brands are facing a reality that their products may not have a future if they continue to do things – and create food products – in the same way as they have in the past.

One example he gave is the global cacao shortage. “Chocolate is in trouble,” Bouzari said. He pointed to how disruptions in cacao production are driving up costs and threatening the availability of what is a beloved staple. This isn’t some distant, theoretical issue Bouzari told me. “It’s already happening.”

And it’s not just chocolate.

“Coffee’s next,” said Bouzari. “Coffee might do a thing where, like grapes, it just creeps higher and higher latitudes as things change.”

And because of this urgency food brands are now faced with that Bouzari gets a little annoyed with how food makers are sometimes distracted with shiny new toys while missing the big picture.

“My thinking with food is it’s a little bit extra irksome, the conversation around AI sometimes, where people say, ‘I’ve spent six months trying to get this generative AI to make me a new pasta recipe,’ when I don’t think we need that. And the water and energy cost of all of that computation is directly contributing to, I think, the actual biggest existential problem we have, which is climate change.”

We also talk about Bouzari’s experience on the Netflix Show Snack vs. Chef, his thoughts on alternative proteins and what gets him excited about the future.

You can listen to the full episode on Apple Podcasts, Spotify or by clicking play below.