BigHat Biosciences website screenshot

BigHat Biosciences

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.

BigHat Biosciences is profiled on the APIs.io network. Tagged areas include Company, Biotechnology, Antibody Design, Machine-Learning, and Drug Discovery.

BigHat Biosciences’ developer surface includes engineering blog and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub
4.1/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyBiotechnologyAntibody DesignMachine-LearningDrug DiscoveryTherapeuticsArtificial IntelligenceLife Sciences

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 4.1/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.4 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.3 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 1.1 / 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
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.
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/. This rating is computed from github.com/api-evangelist/bighat-biosciences: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Bighat Biosciences Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: bighat-biosciences
name: BigHat Biosciences
description: 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.
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://cdn.prod.website-files.com/64ff35ef45fc1e4545e5ffa1/64ff35ef45fc1e4545e6019f_bighat-webclip.png
url: https://raw.githubusercontent.com/api-evangelist/bighat-biosciences/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 8vc
- a16z
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Biotechnology
- Antibody Design
- Machine-Learning
- Drug Discovery
- Therapeutics
- Artificial Intelligence
- Life Sciences
tags_raw:
- Company
- Biotechnology
- Antibody Design
- Machine Learning
- Drug Discovery
- Therapeutics
- Artificial Intelligence
- Life Sciences
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/bighat-biosciences-domain-security.yml
- type: Website
  url: https://bighatbio.com
- type: Blog
  url: https://www.bighatbio.com/news
- type: GitHubOrganization
  url: https://github.com/BigHat-Biosciences
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence