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How Spoonshot's AI Works

We connect disparate diverse data using our food science domain expertise to reveal the future of food

Our intelligence is based upon
2,900+
data sources, which includes…
11K
Ingredients
600K
Products
Menu Dishes
2M
Recipes
850K
No. Consumer Reviews
5.5M
Research Papers
4.1M
Articles/Blogs
1.5B
Social Conversations
food_brain
Meet our AI…
#foodbrain
food_brain
Think of #foodbrain as your super smart assistant that feeds off all that data mentioned above.

#foodbrain has been developed to understand the domains of food science, consumer insights, marketing, and the product development journey.

As a result, #foodbrain makes intelligent recommendations that support and power your innovation research.
Why AI-powered innovation is more important than ever before
budget
Food & beverage businesses are fed up with the decreasing ROI of traditional market research, especially as the approach used only captures a snapshot in time.
project
Emerging brands, who are naturally more agile, are increasingly eating the market share of well-established incumbents that require technology-led solutions to fight back.
limits
Innovation professionals have started to recognize the archaic nature of current research methodologies. The limitations include relatively small volumes of data being analyzed, a top down approach that only answers questions explicitly asked, and data can often be stale by the time it's delivered.
tech
Other industries have successfully applied AI to create a step change in their capabilities e.g. financial services for stock market modelling and pharmaceutical for drug discovery.
Food science & AI, a winning combo for product development research
food_brain
We use AI techniques, like Natural Language Processing and Computer Vision, to build organized information from unstructured data. We do this by leveraging food science principles to establish relationships between these seemingly disconnected data points. Depending upon the problem statement, application or insight required, the appropriate data sets are employed.

Here is one example of the way in which we leverage food science domain knowledge. We process data relating to the physical and chemical properties of ingredients and understand how ingredient interactions impact a final recipe, to deliver insights that are strongly validated and highly relevant to your challenge.

Other elements we examine in building insights include nutritional data, certain components related to sensory data, and food processing technologies.
food_brain
methodology
Spoonshot’s end-to-end approach
Crawling food & beverage open data
Crawling food & beverage open data
Crawling food & beverage open data
Our crawling engine scours the web 24/7 to find the latest domain data by looking at thousands of relevant and diverse sources.
We specifically look at these 22 data source types. It’s critical for us to understand long-tail and local authentic data as they are a great source of leading indicators for trends.
Crawling food & beverage open data
Using Data Science to process unstructured data
Using Data Science to process unstructured data
Using Data Science to process unstructured data
Our team of Data Scientists leverage various artificial intelligence techniques, from Natural Language Processing to Computer Vision, to transform and extract data with a rich semantic structure in the context of F&B. Imagine if all digital food content were to be read by a domain specialist to build structured data.
Using Data Science to process unstructured data
Connecting the data dots using Food Science
Connecting the data dots using Food Science
Connecting the data dots using Food Science
This is our secret sauce. Siloed structured databases only provide limited value. They can be queried but you only get answers to questions you ask. It’s just a top down approach.
By applying the domain knowledge of Food Science as a mechanism to unify the data and uncover insights, you can get answers to questions you had not thought to ask, or as we say, unintuitive intelligence.
Connecting the data dots using Food Science
Applying #foodbrain to many use cases
Applying #foodbrain to many use cases
Applying #foodbrain to many use cases
Our artificial intelligence, #foodbrain, can now be used to solve a wide range of problems specifically within the food & beverage industry.
For starters, it is at the heart of Spoonshot’s innovation intelligence platform but that’s just one application. Another use case includes ad-hoc research, where it can identify both strategic innovation opportunities as well as specific product concept recommendations.
There are many more applications including menu innovation and food personalization. Get in touch to find out more.
Applying #foodbrain to many use cases
To learn more about our methodology   click here
From plant-based seafood to sugar reduction, download our white papers and report.
Every month, we publish a new research on emerging and evolving food & beverage topics.
Hold The Salt, Please - Whitepaper Report
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Whitepapers and Data-Driven Insights
Whitepapers and Data-Driven Insights
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Got Questions?
Check out our FAQs to find out more about our food trends and opportunities platform.