# BigHat Biosciences

**Canonical:** https://apis.io/providers/bighat-biosciences/  
**Website:** https://bighatbio.com  
**APIs profiled:** 0

BigHat Biosciences is a biotechnology company that pairs machine learning with a high-throughput, fully integrated wet lab to design next-generation antibody-based therapeutics. Its platform closes the loop between in-silico antibody design and in-house synthesis and characterization, generating proprietary experimental data that trains its models and speeds the discovery of biologics with improved developability. The company has publicly discussed its Reccy antibody design studio (RADS) and has entered machine-learning-enabled biologics collaborations with Eli Lilly (including Lilly TuneLab), Johnson & Johnson, and Lonza/Synaffix. BigHat is a private, venture-backed company (8VC, a16z) and maintains a public GitHub organization of open-source computational-biology tooling. It does not currently publish a public developer API.

## Kin Score — 4.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 4.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Health**: 7.5 (matched via tags).

## Agent readiness — 0.0 (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 | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Security (1)

- **Bighat Biosciences Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Biotechnology, Antibody Design, Machine-Learning, Drug Discovery, Therapeutics, Artificial Intelligence, Life Sciences

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