aid: 83-sciences 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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/83-sciences.png name: 83 Sciences description: >- 83 Sciences is an AI-native materials-discovery company (Y Combinator Summer 2026) that helps research labs unlock value from unpublished and discarded experimental data. Roughly 90% of experimental data never reaches publication; 83 Sciences works on-site with researchers to capture and structure that hidden data into a queryable database, then applies AI-powered analysis and generative models to learn from a lab's full experimental history — including failed experiments — to surface novel materials, co-authored manuscripts, and patents. Founded by researchers from MIT, Stanford, Harvard, and Columbia and based in San Francisco. The company currently ships no public API or developer surface; this profile tracks its identity for the API Evangelist network. url: https://raw.githubusercontent.com/api-evangelist/83-sciences/refs/heads/main/apis.yml x-type: company x-source: vc-portfolio x-backed-by: - y-combinator x-tier: stub x-tier-reason: portfolio-lead specificationVersion: '0.20' created: '2026-07-17' modified: '2026-07-17' tags: - Company - Materials Science - Artificial Intelligence - Research Data - Scientific Discovery - Life Sciences - Machine Learning apis: [] common: - type: DomainSecurity url: security/83-sciences-domain-security.yml - type: Website url: https://83sciences.ai - type: Login url: https://platform.83sciences.ai/ - type: LinkedIn url: https://www.linkedin.com/company/83sciences.ai - type: Twitter url: https://x.com/83sciences 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