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.
insitro is profiled on the APIs.io network. Tagged areas include Company, Drug Discovery, Machine Learning, Biotechnology, and Life Sciences.
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Health regime, so
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Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
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several others — scorable at all.
The six quality facets above are damped to 85 points between them,
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aid: insitro
name: insitro
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/insitro/refs/heads/main/apis.yml
deliveryModel:
model: library
open_source: false
commercial: false
callable_host: false
label: Library · distributed through package registries, no callable service
confidence: low
source:
- none
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.insitro.com/wp-content/uploads/2023/11/logo-insitro.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
- gv
- softbank-vision-fund
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Drug Discovery
- Machine Learning
- Biotechnology
- Life Sciences
- Genomics
- Pharmaceuticals
- Artificial Intelligence
tags_raw:
- Company
- Drug Discovery
- Machine Learning
- Biotechnology
- Life Sciences
- Genomics
- Pharmaceuticals
- Artificial Intelligence
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
common:
- url: https://www.insitro.com/feed/
type: BlogRSS
- type: Website
url: https://www.insitro.com
- type: GitHubOrganization
url: https://github.com/insitro
- type: PrivacyPolicy
url: https://www.insitro.com/privacy-policy/
- type: Careers
url: https://www.insitro.com/join-us/
- type: Packages
url: packages/insitro-packages.yml
- type: WellKnown
url: well-known/insitro-well-known.yml
- type: SecurityTxt
url: well-known/insitro-security.txt
- type: DomainSecurity
url: security/insitro-domain-security.yml
- type: VulnerabilityDisclosure
url: security/insitro-vulnerability-disclosure.yml
- type: Security
url: well-known/insitro-security.txt
x-enrichment:
date: '2026-07-19'
status: backfilled
pass: local-v1
note: backfilled from .gitignore signal + verified work evidence
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