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Daily news and analysis about the food tech revolution

Analytical Flavor Systems

Food Tech Show Live: Sony Invests in our Robot Chef Future

The Spoon team recently got together on Clubhouse to talk about some of the most interesting food tech and future food stories of the week. This time around, we were also joined by food tech investor Brian Frank.

If you’d like to join us for the live recording, make sure to follow The Spoon’s Food Tech Live club on Clubhouse, where you’ll find us recording our weekly news review every Friday.

The stories we talked about this week include:

As always, you can find the Food Tech Show on Apple Podcasts, Spotify or wherever you listen to podcasts. You can also download direct or just click play below.

Sony Invests in Analytical Flavor Systems To Help Our Robot Chefs of the Future Better Predict What We Want to Eat

When Analytical Flavor Systems (AFS) CEO Jason Cohen talks about his company’s technology, it usually involves a story about helping a big food company. In particular, how AFS’s AI flavor platform, Gastrograph AI, can predict how a new product such as a bag of chips or energy drink might perform in a new country or with a new demographic group.

Ask him to tell you about his company’s flagship product in the future, though, and the conversation might well include discussing how it helped a robot chef decide what exactly to make us for dinner.

That’s because the New York-based startup has recently taken a corporate investment round from Sony, which late last year announced a dedicated project focused specifically on developing food focused AI and robotics technology.

According to Cohen, Sony’s investment team believes AFS’s technology could help them achieve their goal of creating robot chefs that know exactly what to cook.

“Once you get a food robot up and running, you don’t know what people are gonna want to eat, what they’re going to prefer, like and dislike,” said Cohen in a Zoom call.

But with a technology like Gastrograph, robots of the future might be able to more accurately predict flavor combinations consumers better than humans themselves.

“Consumers have no idea what they like and dislike,” said Cohen. “They’re actually really bad at determining whether, say, they want more vanilla in their vanilla cup. You ask them and they say ‘yes’, you put it down and they want less. Sony recognized that and that’s what part of this investment is for: future innovation and growth, to help them accomplish their goals of getting cooking robots into every home.”

In addition to Sony, AFS also took on corporate investment from BASF. According to Cohen, the German conglomerate’s plant breeding and genomics program is interested in using Gastrograph AI to help them in seed development so they can ultimately predict with a higher success rate with the crops they are breeding.

“It takes a really long time, anywhere from a year to a couple of years, even decades, on some crops, in order to breed in specific traits,” said Cohen. “And so they work with us to rapidly screen and profile the fruits that they are market leaders in, or the fruits that they want to become market leaders in, and to breed better seed stock that they can then sell to farmers in different countries around the world.”

While Cohen wouldn’t disclose the amount of investment from Sony and BASF, he did say that this was an in-between “corporate”round that they had been discussing with the two strategic investors before COVID hit, so when everything shut down in March of last year things were “already in place.” Next year, said Cohen, he expects the company will raise a Series A round of funding.

Speaking of COVID, I asked Cohen how his company did this past year, and he said their core business of working with CPG innovation teams actually benefitted because as companies wanted to keep the innovation pipelines moving during a time of severe travel restrictions and AFS’s technology allowed them to do that. Since the normal big food practice of testing products in-market with focus groups curtailed during lockdowns, some companies relied on Gastrograph AI’s technology to predict how a new product might do.

This recent investment follows a 2018 seed round investment of $4 million.

Tastewise Launches Its AI-Powered Food Prediction in the UK

Tastewise, which uses AI to predict consumer food trends, announced today it has launched its platform in the UK and added more localized data to help restaurants and food producers in that region better anticipate consumer eating habits. According to a press release sent to The Spoon, Tastewise has integrated data from 183,000 restaurants and delivery menus, over 2.8 billion social interactions, and 1.2 million online recipes from the UK into its platform.

The Tastewise platform, which launched in February of 2019, helps CPG companies better predict food trends through artificial intelligence (AI). It analyzes consumer touchpoints (think Instagram photos and online recipes) to find not just what foods consumers are eating right now but also their deeper motivations for choosing those foods. When we spoke about a year ago, Tastewise CEO Alon Chen used the example of sauerkraut to illustrate the point: 

“Right now, according to [Chen], it’s a popular food, but the trend is less about raw cabbage and more about the process behind it, which is fermentation . . . Food companies analyzing data via the Tastewise platform can see such data and consider how they might implement fermentation into their offerings.”

Tastewise counts Nestlé, PepsiCo, General Mills, Dole, and other major CPGs among its customers. With today’s launch, UK-based food businesses will also be able to utilize the platform to get more real-time insights into consumer food behavior, which is a must in these pandemic-stricken days, according to Tastewise: “The pandemic has made it clear that it’s imperative to have your finger on today’s pulse each time a decision is made,” Chen said in today’s press release.

Speaking of which: along with the news of its UK launch, Tastewise also released a new report on UK consumer food trends during the pandemic so far. Among them:

  • Sustainable foods are rising 52 percent in popularity year over year, though health and fitness are motivating this trend, not environmental concerns.
  • UK demand for meal kits is up 200 percent.
  • CBD is fading in popularity.

Tastewise is not a sensory platform a la Spoonshot or Climax Foods. However, it is similar in that it leverages AI to help companies bring in-demand products faster by sinking less money into traditional R&D. And given the upheaval the pandemic has caused across the food system, both CPGs and foodservice companies will be leveraging more AI in the future to keep costs down by offering their customers the most relevant items possible. 

How Will the Black Swan of COVID-19 Impact Data Used in AI-Based Flavor Prediction?

In order to build an effective artificial intelligence (AI) platform, you need good data. Data feeds the algorithms that go into the AI; the better your data the better your AI system will function.

In the food tech world, there are a number of startups like Spoonshot, Analytical Flavor Systems and Tastewise have built intricate AI platforms that use tons of different data to help big CPG companies identify and predict culinary and flavor trends.

But what happens when a big catastrophic black swan event occurs like, oh, I don’t know, a global pandemic, which changes the eating and buying patterns of almost everyone on the planet all at once?

For instance. In February, it was easy to buy flour and yeast at your local grocery store. Fast forward to March and suddenly store shelves were empty and you had to resort to making your own yeast. Around that same time, instead of pictures of fancy restaurant meals, social media accounts were flooded with pictures of homemade bread.

Food predicting AI systems uses data points like restaurant menus, social media mentions and consumer purchasing patterns to determine future trends. But everyone didn’t start making sourdough bread at home because it was suddenly fashionable. It was because everyone was stuck inside.

How then, will AI systems handle this shock to the data system? Sheltering in place won’t last forever (knocks on wood), and who knows how long people will actually make their own bread. The popularity of it now is an aberration, does this mean that the data surrounding it is no good? Is bread making today indicative of anything other being bored or does it foretell a bigger trend?

To get a better sense I reached out to both SpoonShot and Analytical Flavor Systems to see how they are incorporating this massive disruption to our eating patterns into their own prediction process — and got two very different answers.

SpoonShot’s AI uses more than 3,000 sources across 22 data sets including menu, social and pattern data. Kishan Vasani, Co-Founder & CEO of SpoonShot, didn’t seem to think that COVID-19-induced eating changes would impact his company’s predictive capabilities at all. “Algorithms shouldn’t be overly sensitive to black swan data,” he said, “If you think about it, AI essentially means having enough relevant and appropriate data to process and predict.”

In other words, if your AI system is worth its salt, you should be able to weather big changes like this. “Everything goes back to the data and data sources,” Vasani said, “Menu data is significantly slowed down, but that’s compensated for with cooking platforms.”

On the other hand Jason Cohen, Founder and CEO of Analytical Flavor Systems, thinks the pandemic and subsequent lockdowns are a big deal. “Companies will say, ‘no no no, we can make predictions,'” Cohen said, “I do not believe that. This is the most rapid and intense change to consumer behavior since World War II.”

Cohen believes that with quarantines already in place for more than 60 days, new habits will definitely have formed. People will still be baking bread at home. What’s important is to meet this new data where it lives, literally.

Up until the pandemic, Analytical Flavor Systems used a 50 person panel of tasters as part of its data collection. This panel would come into the office to try various on-market foods. But since lockdown, the company has moved entirely to at-home testing. “In addition to CPG products, we are asking them to taste profile their homemade bread and soups,” Cohen said, “The point is we need to see those flavors, aromas and textures they are exposing themselves to.”

Cohen doesn’t think that past data is invalidated, but rather that data needs to be collected before during and after this crisis. Something which I think Vasani would agree with.

The thing about predictions now is that we won’t know if they were accurate for a long time. SpoonShot looks out 18 months and is even considering pushing that out to two years.

Hopefully we’ll be able to eat bread at a restaurant again by then.

Tastewise is the Latest Startup to Use AI for B2B Flavor Recommendations

Surprisingly, my eight-year-old’s current favorite toy is one of those old Magic 8 Balls that “predict” the future. Granted, most of his questions revolve around acquiring some Lego set, but he, like so many of us, want more certainty in our future.

Tastewise is a new startup that launched yesterday with a technology that aims to help restaurants and CPG companies better predict food trends using data and artificial intelligence (AI). According to the press announcement, “The platform analyzes billions of critical food and beverage consumer touchpoints to discover people’s real-life interactions with food including over 1 billion food photos shared every month, 153K restaurant menus across the US and over 1M online recipes.”

So Tastewise is looking at all those food pictures people are Instagramming and Tweeting about to see what is hip with the kids. It can also parse different ways items are described. For example, it will know that hamburgers, burgers and sliders are all basically the same thing. It takes all of this information and runs it through its algorithms to recommend new products on both a national and local level (what’s cool in Brooklyn may not be cool in Omaha).

I spoke with Co-Founder Alon Chen by phone, and he told me that with Tastewise, his clients can simply type in a food item like “hummus” and the software will crunch all the data and report back results of not only flavor information (ingredients people are adding to hummus), but also how people are using hummus (not just as a dip, but also as a spread).

Tastewise is offered as a SaaS product, and while specific subscription plans are being worked out, Chen said that they will always offer a free tier of results and a premium version for $299 a month. Exactly what results and insights are available to premium subscribers has yet to be determined.

The flavor-prediction sector is certainly hot like sriracha (though Tastewise says Zhoug is the next sriracha), as there are a number of other B2B players already in the market. Spoonshot and Analytical Flavor Systems both use AI to help companies predict and act quickly on food trends. Even spice company McCormick enlisted IBM’s Watson to help determine what tastes are on the horizon.

When asked about his competition, Chen said that Tastewise “is not a sensory platform.” Rather, his company is looking at what people are saying and the actions they are taking around food to develop consumer insight and intelligence that reflect what is happening and predict what specific foods and flavors will become hits.

Tastewise has raised $1.5 million in funding and has five employees. With CPG companies and restaurants all looking for any kind of edge over their competition, it doesn’t take a Magic 8 Ball to see that Tastewise has picked the right sector. Now we just need to see if it can beat out all the competition.

Analytical Flavor Systems Raises $4M for its AI-Powered Flavor Prediction Platform

Analytical Flavor Systems (AFS), which uses artificial intelligence (AI) to help companies predict and personalize flavor for new food products, announced today that it has raised $4 million in Series A funding led Leawood Venture Capital and Global Brain. VentureBeat was first to report the news. AFS had previously raised an undisclosed amount of seed funding through Better Food Ventures and Techstars.

Food personalization, powered by advancements in AI and machine learning, is a big trend we’re following at The Spoon. Earlier this year we named AFS as one of our FoodTech 25 companies changing the way we eat, writing the following:

Analytical Flavor Systems’ AI-driven Gastrograph platform helps packaged food companies achieve greater success in a saturated food industry that has an over 80% failure rate. Gastograph moves CPG brands’ development process beyond traditional tasting panels; it surveys each product with a flavor profile engine that is predictive, anticipating how new foods will perform in different markets, over a long time horizon, and against various demographic archetypes. Food companies are struggling to launch new products in an era of rapidly shifting consumer tastes, and an AI-driven platform like Gastrograph gives big food a more accurate map with which to navigate into the future.

Think of Gastrograph almost like Flavor as a Service. Using data from “regular” people and professional tasters to power its analytical engine, Gastrograph can help food companies determine which flavors will be popular with different people or in different regions etc.

AFS Co-Founder and CEO, Jason Cohen spoke at our Smart Kitchen Summit in Seattle last month, and gave a presentation where he talked about personalization of food versus customization, and also provided a nice walkthrough of how AFS and Gastrograph works.

AI and Personalized Flavor

AFS told VentureBeat that it will use the money to build out the team and further develop its technology. The company’s fundraise comes at a good time, as it is among a raft of startups using AI to power flavor and food recommendations. Other players in the space include Spoonshot (formerly Dishq), Plantjammer, FoodPairing, and Flavorwiki.

The Food Tech 25: Twenty Five Companies Changing the Way We Eat

Here at The Spoon, we spend most days writing and thinking about those who are transforming what we eat. No matter whether a startup, big company, inventor, or a cook working on new approaches in the kitchen, we love learning the stories of people changing the future of food. So much so, in fact, that we wanted to share those companies that most excite us with our readers.

And so here it is, The Spoon’s Food Tech 25: Twenty Five Companies Changing the Way We Eat

What exactly is the Food Tech 25? In short, it’s our list of the twenty five companies we think are doing the most interesting things changing the way we create, buy, store, cook and think about food.

As with any list, there are bound to be a few questions about how we got here and why we chose the companies we did. Here are some answers:

How did we create this list?

The editors of the Spoon — myself, Chris Albrecht, Catherine Lamb and Jenn Marston — got together in a room, poured some kombucha (ed note: except for Chris), and listed all the companies we thought were doing interesting and important work in changing food and cooking. From there, we had numerous calls, face-to-face meetings and more glasses of kombucha until we narrowed the list down to those you see here.

Is this an annual list?

No, this is a list of the companies we think are the most interesting people and companies right now, in mid-2018. Things could definitely look different six months from now.

Is this list in a particular order or are the companies ranked?

No, the list is in no particular order and we did not rank the 25 companies.

Why isn’t company X on the list?

If this was your list, company X or Y would most likely be on the list (and that’s ok with us). But this is the Spoon’s list and we’re sticking to it (for now – see above).

And of course, making this list wasn’t easy. There are lots of companies doing interesting things in this space. If we had enough room to create runners-up or honorable mentions, we would. But we don’t (and you don’t have enough time to read a list like that).

So, without further ado, here is the Spoon’s Food Tech 25. If you’re the type that likes your lists all on one page, click here.


EMBER
Ember bills itself as “the world’s first temperature control mug,” which basically means you can dictate a specific temperature for your brew via the corresponding app and keep your coffee (or tea or whatever) hot for as long as you need to. The significance here isn’t so much about coffee as it is about where else we could implement the technology and relatively simple concept powering the Ember mug. The company currently has patents out on other kinds of heated or cooled dishware, and Ember has cited baby bottles and medicine as two areas in which it might apply its technology. And yes, it allows you to finally stop microwaving all that leftover morning coffee.

 


INSTANT POT
The Instant Pot is not the highest-tech gadget around, but its affordability, versatility, and speed have made this new take on the pressure cooker a countertop cooking phenomenon. It also has a large and fanatical community, where enthusiastic users share and reshare their favorite Instant Pot recipes across Facebook groups and online forums. By becoming the first new breakout appliance category of the millennial generation, the Instant Pot has achieved that highly desirable (and rare) position of having its brand synonymous with the name of the category; people don’t go looking for pressure cookers, they go looking for an Instant Pot.

 


DELIVEROO
We chose Deliveroo out of the myriad of food delivery services because of their Editions project, which uses customer data to curate restaurant hubs in areas which have unfulfilled demands for certain chain establishments or cuisine types. This model allows food establishments to set up locations with zero start-up costs, and also gives customers in more restaurant-dry areas a wide variety of delivery food options. Essentially, it’s cloud kitchens meets a food hall, with some heavy analysis to help determine which restaurants or cuisines customers want, and where. These “Rooboxes” (hubs of shipping containers in which the food is prepared) show that Deliveroo is a pioneer in the dark kitchen space, and are doing serious work to shake up the food delivery market.

 

AMAZON GO
There are any number of ways that Amazon could have been included in this list, but its Amazon Go stores are what we think will be the real game changer. The cashierless corner store uses a high-tech combination of cameras and computing power, allowing you to walk in grab what you want — and leave. That’s it. At its first location in Seattle, we were struck by how seamless the experience was. As the locations broaden, this type of quick convenience has the potential to change the way we shop for snacks, (some) groceries and even prepared meal kits.

 


INGEST.AI
Restaurants have more pieces of software to deal with than ever. In addition to all the delivery platforms they are now plugged into, there have to deal with payments systems, HR software, and inventory management software. And right now, none of those applications talk to each other. Created by a former IBM Watson engineer, Ingest.ai promises to extract and connect the data from ALL of those disparate software pieces and tie them together to give restaurant owners a holistic, data-powered view of their business. It also helps them have more precise control over their business and automate tasks like food ordering and staff scheduling.

Want to meet the innovators from the FoodTech 25? Make sure to connect with them at North America’s leading foodtech summit, SKS 2019, on Oct 7-8th in Seattle.

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