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.

Inductive Bio is profiled on the APIs.io network. Tagged areas include Company, Drug Discovery, Machine-Learning, Artificial Intelligence, and ADMET.

Inductive Bio’s developer surface includes engineering blog, signup flow, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

12.4/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Drug Discovery Machine-Learning Artificial Intelligence ADMET Small Molecule Computational Chemistry Life Sciences Biotech Pharmaceuticals

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 12.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 4.3 / 9

Regulatory Posture 3.0 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/inductive-bio: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Inductive Bio Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: inductive-bio
name: Inductive Bio
description: 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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.inductive.bio/favicon.ico
url: https://raw.githubusercontent.com/api-evangelist/inductive-bio/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
- lux-capital
- bessemer-venture-partners
- obvious-ventures
- character
- s32
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Drug Discovery
- Machine-Learning
- Artificial Intelligence
- ADMET
- Small Molecule
- Computational Chemistry
- Life Sciences
- Biotech
- Pharmaceuticals
tags_raw:
- Company
- Drug Discovery
- Machine Learning
- Artificial Intelligence
- ADMET
- Small Molecule
- Computational Chemistry
- Life Sciences
- Biotech
- Pharmaceuticals
apis: []
common:
- type: DomainSecurity
  url: security/inductive-bio-domain-security.yml
- type: Website
  url: https://www.inductive.bio/
- type: Blog
  url: https://www.inductive.bio/blog
- type: GitHubOrganization
  url: https://github.com/inductive-bio
- type: Login
  url: https://app.inductive.bio/login
- type: SignUp
  url: https://www.inductive.bio/book-a-demo
- type: LLMsTxt
  url: llms/inductive-bio-llms.txt
- type: Conformance
  url: conformance/inductive-bio-conformance.yml
- type: Compliance
  url: conformance/inductive-bio-conformance.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence
x-parent: inductive
x-relationship: product

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