Atomic AI website screenshot

Atomic AI

Atomic AI is a biotechnology company fusing machine learning with structural biology to unlock RNA drug discovery. Founded in 2017 by Raphael Townshend and based in San Francisco, the company builds ATOM-1, an AI foundation model that predicts the three-dimensional structure of RNA to enable the discovery and optimization of RNA-targeted small molecules and RNA-based medicines for previously undruggable targets, including certain cancers and neurodegenerative diseases. Atomic AI pairs its proprietary 3D RNA structure engine with large-scale in-house wet-lab assays. It is backed by Playground Global, 8VC, Greylock, and others. Atomic AI operates as a proprietary R&D drug-discovery platform and does not currently publish a public developer API, SDKs, or API documentation; this profile captures its public identity and web-surface signals for the API Evangelist network.

Atomic AI is profiled on the APIs.io network. Tagged areas include Company, Deep Tech, Biotechnology, Drug Discovery, and RNA.

Atomic AI’s developer surface includes engineering blog and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
6.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyDeep TechBiotechnologyDrug DiscoveryRNAMachine-LearningLife SciencesArtificial Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 6.7/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.4 / 17
Access Clarity 1.8 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 1.9 / 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
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
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.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
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/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/atomic-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Atomic Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown
WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy
PrivacyPolicy

Company 7

The organization behind the API

Website
Website
 About
About
 Blog
Blog
 Careers
Careers
 Partnering
Partnering
 LinkedIn
LinkedIn
 Twitter
Twitter

Scroll for all 7

Other 1

Properties that don't map to a standard resource type

Technology
Technology

Source (apis.yml)

apis.yml Raw ↑ 
aid: atomic-ai
name: Atomic AI
description: Atomic AI is a biotechnology company fusing machine learning with structural biology to unlock RNA drug discovery.
  Founded in 2017 by Raphael Townshend and based in San Francisco, the company builds ATOM-1, an AI foundation model that
  predicts the three-dimensional structure of RNA to enable the discovery and optimization of RNA-targeted small molecules
  and RNA-based medicines for previously undruggable targets, including certain cancers and neurodegenerative diseases. Atomic
  AI pairs its proprietary 3D RNA structure engine with large-scale in-house wet-lab assays. It is backed by Playground Global,
  8VC, Greylock, and others. Atomic AI operates as a proprietary R&D drug-discovery platform and does not currently publish
  a public developer API, SDKs, or API documentation; this profile captures its public identity and web-surface signals for
  the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/atomic-ai/refs/heads/main/apis.yml
x-type: company
x-source: greylock-portfolio
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://atomic.ai/wp-content/uploads/2024/04/logo-dark.svg
tags:
- Company
- Deep Tech
- Biotechnology
- Drug Discovery
- RNA
- Machine-Learning
- Life Sciences
- Artificial Intelligence
tags_raw:
- Company
- Deep Tech
- Biotechnology
- Drug Discovery
- RNA
- Machine Learning
- Life Sciences
- Artificial Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://atomic.ai/
- type: About
  url: https://atomic.ai/about/
- type: Technology
  url: https://atomic.ai/technology/
- type: Blog
  url: https://atomic.ai/news/
- type: Careers
  url: https://atomic.ai/careers/
- type: Partnering
  url: https://atomic.ai/partnering/
- type: PrivacyPolicy
  url: https://atomic.ai/privacy-policy/
- type: LinkedIn
  url: https://www.linkedin.com/company/atomic-ai-rna/
- type: Twitter
  url: https://twitter.com/AtomicAICo
- type: DomainSecurity
  url: security/atomic-ai-domain-security.yml
- type: WellKnown
  url: well-known/atomic-ai-well-known.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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