Passio provides AI-powered nutrition intelligence infrastructure for healthcare and digital health applications: image-based meal detection identifies food from a photo, voice input transcribes and structures spoken meal descriptions, semantic search finds foods intelligently rather than requiring exact-match text, and the underlying AI transforms all of that unstructured input into structured, analyzable nutrition data.
Turning unstructured input – a photo, a spoken description, a barcode scan – into consistent structured data is the genuinely hard technical problem here, and it’s what makes Passio infrastructure rather than a single consumer app: any digital health product wanting to add meal logging needs that structuring layer regardless of how the user actually enters food (and different users prefer different input methods), so building it once as integratable infrastructure serves many downstream products rather than one specific app.
Passio’s database covers 3.5 million-plus structured foods with macro and micronutrient data, multi-language support, and enterprise infrastructure with 99.8% uptime plus healthcare-grade security and compliance. This is a B2B API/SDK product for companies building health apps, not a consumer-facing product itself. Pricing isn’t shown on the homepage – visit the dedicated pricing page.
