# insitro

**Canonical:** https://apis.io/providers/insitro/  
**Website:** https://www.insitro.com  
**APIs profiled:** 0

insitro is a machine-learning-driven drug discovery and development company founded in 2018 by Daphne Koller and headquartered in South San Francisco, California. It combines large-scale in vitro cellular data generated in its own automated labs with human clinical and genetic data to build predictive models of biology, aiming to bring better drugs faster to the patients most likely to benefit. Its therapeutic focus spans metabolism, oncology, and neuroscience, and its interdisciplinary teams pair life scientists, data scientists, and engineers. insitro operates no public developer API; it maintains open-source research and infrastructure tooling (such as the redun workflow engine) on its GitHub organization. Backed by a16z, GV, and the SoftBank Vision Fund.

## Kin Score — 10.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+1.1 from 9.0).

| Facet | Score |
|---|---|
| Discoverability | 61.1 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Health**: 20.0 (matched via tags).

## Agent readiness — 2.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Insitro Domain Security** — TLSv1.3 · DMARC
- **Insitro Vulnerability Disclosure** — security.txt · contact published

## Tags

Company, Drug Discovery, Machine-Learning, Biotechnology, Life Sciences, Genomics, Pharmaceuticals, Artificial Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/insitro/). Scores are computed from the provider's own public artifacts under a published rubric.