Briya
Briya builds AIRE (AI Research Environment), a privacy-first AI platform for healthcare and clinical research that lets researchers analyze real-world medical data without writing code. AIRE trains AI models on real-world data and provides domain-specific agents for literature review, hypothesis testing, population and cohort analysis, study design, and manuscript-ready output with built-in validation. Data is accessed across multiple sources without centralizing it into a warehouse, with a compliance posture aimed at HIPAA, GDPR, and FDA/EMA regulatory standards. Briya serves emerging biotech, life sciences organizations, academic institutions, and healthcare systems, with offices in New York, Nashville, and Tel Aviv. The company is backed by Insight Partners. This API Evangelist profile is an enrichment pass on a portfolio lead; Briya publishes no public developer API surface at this time.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Briya the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Briya scores 16.1/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Briya
Each block below is one kind of artifact we hold for Briya. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Briya — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Access & Security 1
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
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