Embed the world's most advanced health intelligence engine into your existing application in days, not years.
Ambitious consumer health brands routinely waste 12 to 18 months and millions of dollars trying to build interpretation loops in-house. Standard data APIs simply move raw signals between devices, but they never observe clinical outcomes. Building a clinical rules engine, training a medical LLM, and maintaining hardware integrations is a massive distraction from your core product. The intelligence layer is missing.
Everything you need to build the next generation of health products.
Drop in our PDF parsing API to instantly understand any lab report in the world. We handle native PDF extraction, OCR for scans, digital-signature validation, and the complex classification of over 100 markers. Returns clean, structured JSON classifying every value as optimal, in-range, or outlier.
Embed continuous intelligence that actually learns what works for a specific body. The AI Concierge acts as a biological analyst that knows the individual's history, wearable data, and lab results. Users can ask 'Why is my recovery low today?' and receive an answer grounded in their actual physiology, not generic advice.
A look inside the data pipeline.
Authenticate via standard OAuth 2.0. Issue scoped JWTs to your frontend clients to interact directly with the Nostavia edge.
Submit unstructured lab PDFs, raw LIS JSON, or manual biomarker entries to the `/v1/intelligence/parse` endpoint.
The engine decodes, classifies, and generates interpretations synchronously, returning a massive, structured intelligence payload in under 500ms.
Use the structured JSON to power your own bespoke UI, or utilize our React SDK components to render beautiful graphs and insight cards instantly.
Yes. In addition to our REST endpoints, we offer a fully featured GraphQL API, allowing your frontend clients to request exactly the biological data shapes they need, minimizing over-fetching.
The Concierge operates strictly within a 'wellness and optimization' guardrail system. It utilizes RAG (Retrieval-Augmented Generation) against a vetted clinical database and refuses to diagnose conditions or prescribe medication, always deferring to a physician for acute issues.
Enterprise SDK contracts include a 99.99% uptime SLA, backed by multi-region redundancy on AWS, and dedicated Slack support channels with our core engineering team.
Yes. The Intelligence SDK is available natively for iOS (Swift), Android (Kotlin), and cross-platform frameworks (React Native, Flutter).