Atomic-AI
Agent33 out of 100, Below median. Agent Readiness. Open the scores section.Agent Readiness: 33/100. Below median. Measured by StartupHub.ai. Median 41.Trust82 out of 100, Top 25%. Data Trust. Open the scores section.Data Trust: 82/100. Top 25%. Measured by StartupHub.ai. Median 61.AI platform for drug discovery and development, accelerating research with advanced computational tools.
About
Atomic AI is developing RNA-centric medicines using a platform that fuses machine learning and structural biology. Their core product, the ATOM-1 foundation model, enables precise predictions of RNA 3D structure to unlock new therapeutic targets. They serve the field of drug discovery, focusing on RNA-targeted small molecules and RNA-based therapeutics.
Listed competitors
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Key facts
- Website
- atomic.ai
- Headquarters
- San Francisco, United States
- Founded
- 2022
- Employees
- 30
- Total funding
- $6.2B
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 17 Nov 2025 | Undisclosed round | $6.2B | Jeff Bezos, Jensen Huang |
| 17 May 2023 | Undisclosed round | $35M | Playground Global |
| 26 Jan 2022 | Undisclosed round | $7M |
Tech stack
Detected on atomic.ai, last scanned 3 Nov 2026. Run your own scan
- Frontend
- jQuery
- CMS / Builders
- WordPress
- Email provider
- Google Workspace
- Hiring platform
- Greenhouse
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Frequently asked
Is Atomic-AI trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Atomic-AI is 82 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Atomic-AI raised?
Atomic-AI has raised a total of $6.2B in funding.
How many employees does Atomic-AI have?
Atomic-AI has approximately 30 people on record.
SEC filings, insider activity, nonprofit links and pay benchmarks for Atomic-AI:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules
