All case studiesCase study · Healthcare
B2C line in weeks: Virtual Nutritionist for a leading food database
Edamam, the world's largest nutrition data provider, used by 200K+ apps.
- faster than building it in-house
- 1 year
- agent on Edamam's own data
- Chat + voice
- AI capability after the handover
- In-house
Challenge
Generative AI was reshaping customer expectations, and Edamam needed an AI nutrition agent to stay relevant. But engineering was fully booked, with limited AI or data-science capability.
What we built
A chat and voice nutrition agent on Edamam's own APIs and data, integrated end to end, with a data scientist trained to run it in-house.
Results
- 1 yearfaster than building it in-house
- Chat + voiceagent on Edamam's own data
- In-houseAI capability after the handover
We had the product built before year-end, as opposed to just sitting and talking about it. [...] If you want AI expertise fast, Crisp is the way to go.
