Inductive Bio
Inductive Bio is an AI-powered virtual lab for small molecule drug discovery, based in New York and founded in 2022 by Josh Haimson and Ben Birnbaum (both formerly of Flatiron Health). The company pairs medicinal chemists with machine learning to run millions of in silico ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) experiments, surface the strongest compound hypotheses, and accelerate the path to development candidates. Its Beacon-1 models took first place in both the 2025 Polaris/ASAP and 2026 OpenADMET/ExpansionRx blind ADMET competitions, and are delivered through the Compass software platform (with the Indy AI chemistry assistant) and an Embedded Experts services offering. Inductive Bio operates a pre-competitive ADMET data consortium, is SOC 2 compliant, and is backed by a16z, Lux Capital, Bessemer Venture Partners, Obvious Ventures, Character, and S32. Compass is enterprise/partner software; it exposes an API to partner teams but publishes no public, self-serve developer portal, OpenAPI, or SDK.
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 Inductive Bio 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 — Inductive Bio scores 15.5/100 (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 Inductive Bio
Each block below is one kind of artifact we hold for Inductive Bio. 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 Inductive Bio — 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
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/inductive-bio · machine-readable index on apis.io