Inductive
Inductive Bio is a New York-based AI drug discovery company building a virtual lab for small molecule optimization. It pairs medicinal chemists with AI to run millions of in silico ADMET experiments before synthesis. Its Beacon-1 models — trained on a pre-competitive, anonymized data consortium spanning thousands of drug programs — won consecutive first-place finishes in the 2025 Polaris/ASAP and 2026 OpenADMET blind ADMET prediction competitions, beating 370+ submissions including entries from Merck and NVIDIA. Products include the Compass software platform (accessible via API), the Indy AI chemistry assistant, the ADME-One high-throughput profiling service, and Embedded Experts. Founded in 2023 by Josh Haimson and Ben Birnbaum (both formerly Flatiron Health); SOC 2 compliant; backed by Obvious Ventures, a16z Bio+Health, Lux Capital, Bessemer Venture Partners, Character, and S32.
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 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 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
Each block below is one kind of artifact we hold for Inductive. 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 — 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 1
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 · machine-readable index on apis.io