Company intelligence
As of June 15, 2026, Radical Numerics has raised at least $50M in equity across 1 sourced funding round.
AI research lab building general biological intelligence — foundation models that can read, write, and design across all of biology.
Radical Numerics is an AI research lab building models that learn from DNA, RNA, proteins and other biological data at the same time.[1] It was founded in 2025.[2] The founders previously built Evo, an AI model that reads and writes DNA at scale.[1] The money is for training its next models and hiring AI researchers.[1] It is working with a cancer diagnostics company on pancreatic and multi-cancer detection, and with a national laboratory on detecting natural and AI-generated pathogens.[1] Scientific advisors include Microsoft chief scientific officer Eric Horvitz, Stanford professor Chris Ré and Harvard professor George Church.[1] In October 2026 it launched Omnii-1, a model that converts 28 types of biological data into a common representation.[3],[1] The launch release was datelined San Francisco.[3] Researchers used Omnii to design a bacteriophage that was given to a patient with a drug-resistant bacterial infection, which the company says was the first AI-designed phage given to a person.[3] The treatment was given to one patient under the FDA's single-patient expanded access pathway, also called compassionate use.[2] The company said it could not share the patient's clinical progress or outcome, citing privacy.[2] Its technical report has not been peer reviewed.[2]
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Radical Numerics is an AI infra company, based in Menlo Park, California, USA, founded 2025 by Eric Nguyen, Michael Poli, Stefano Massaroli, Armin Thomas.
| Date | Round | Amount | Valuation | Lead investors | Source |
|---|---|---|---|---|---|
| Jun 15, 2026 | Seed | $50M | — | Pulse 2.0 |
Equity only. “Equity raised” above sums the rounds with a dated, linked source; rumored rounds, tender offers and secondary sales are listed but not counted, and debt financing is listed separately.
The company emerged from stealth in June 2026 with a $50 million seed round led by Emergence Capital.[1]
Menlo Park-based Radical Numerics raised a $50 million seed round led by Emergence Capital, with First Spark, Obvious Ventures, Factory and Triatomic participating. The startup is building AI systems aimed at scientific and numerical problems -- a fast-emerging category betting that AI's next frontier is accelerating research itself, from drug discovery to materials and simulation.
Radical Numerics raised $50 million led by Emergence Capital to build AI models that simulate biological systems -- a bet that foundation-model techniques can model cells and living processes the way world models simulate physics. It's part of a clear 2026 wave of capital flowing toward AI-for-science applied to specific scientific domains.
Radical Numerics emerged from stealth in June 2026 with a $50 million seed round led by Emergence Capital.[1]
Eric Nguyen is CEO, alongside co-founders Michael Poli (chief AI scientist), Stefano Massaroli (president) and Armin Thomas (CTO).[1]
Radical Numerics is an AI research lab building models that learn from DNA, RNA, proteins and other biological data at the same time.[1]
Radical Numerics has raised at least $50M in equity across 1 sourced funding round tracked by Value Add VC. The most recent was a $50M Seed in June 2026, reported by Pulse 2.0. Debt financing, tender offers and secondary sales are not counted.
Figures are labelled Reported (a source states it), Estimated, Derived (computed from other facts) or Rumored (in talks / unconfirmed). Rumors never replace a confirmed figure. Each figure keeps its own as-of date; history is preserved rather than overwritten.
