


AI FOR SCIENCE · ON THE RECORD
Radical Numerics
An AI lab building general biological intelligence: foundation models trained on DNA and other biological data, released to partners as APIs and tuned models.
Full funding record →On the timeline →People filter →
Research on the record
- 2026-10-20Radical Numerics reports that phage variants its Omnii-1 model designed were given to one patient with a drug-resistant infection, under compassionate useLevel 4 · Tested in the physical world
- 2026-10-20Radical Numerics reports its Omnii-1 model scoring above AlphaGenome and Borzoi at telling which changes in non-coding DNA actually do somethingLevel 3 · Checked against existing evidence
- 2026-10-20Radical Numerics and Aptamino run three rounds of lab-measured antibody design with Omnii-1, and two designs bind tighter than the test can readLevel 4 · Tested in the physical world
- 2026-10-20With Lawrence Livermore, Radical Numerics reports its biology model predicting which rare earth metal a protein prefers better than the other methods testedLevel 2 · Computed
- 2026-06-15Radical Numerics previews Omnii, a genome language model that scores noncoding variants above CADD and Evo 2 on the company's own benchmark runsLevel 2 · Computed
Graded by how far the evidence went, not how good the result is. See the methodology.
Also on the timeline
People
Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.
Named on AI4S.fyi
Armin ThomasCo-founder and CTO Radical Numerics reports its Omnii-1 model scoring above AlphaGenome and Borzoi at telling which changes in non-coding DNA actually do something
Michael PoliCo-founder and Chief AI Scientist Radical Numerics and Aptamino run three rounds of lab-measured antibody design with Omnii-1, and two designs bind tighter than the test can read
Aniketh IyengarNamed as at Radical Numerics on the company's own research post Radical Numerics reports that phage variants its Omnii-1 model designed were given to one patient with a drug-resistant infection, under compassionate use
Arpan SarkarNamed as at Radical Numerics on the company's own research post Radical Numerics reports that phage variants its Omnii-1 model designed were given to one patient with a drug-resistant infection, under compassionate use- AAvery NoonanNamed as at Radical Numerics on the company's own research post Radical Numerics reports that phage variants its Omnii-1 model designed were given to one patient with a drug-resistant infection, under compassionate use
Benjamin SiranosianNamed as at Radical Numerics on the company's own research post Radical Numerics reports that phage variants its Omnii-1 model designed were given to one patient with a drug-resistant infection, under compassionate use
Christine ParthemoreHead of Biodefense With Lawrence Livermore, Radical Numerics reports its biology model predicting which rare earth metal a protein prefers better than the other methods tested
Gautam MachirajuNamed as at Radical Numerics on the company's own research post With Lawrence Livermore, Radical Numerics reports its biology model predicting which rare earth metal a protein prefers better than the other methods tested
5 more people
- MMatthew CarterNamed as at Radical Numerics on the company's own research post Radical Numerics reports its Omnii-1 model scoring above AlphaGenome and Borzoi at telling which changes in non-coding DNA actually do something
- MMax HighsmithNamed as at Radical Numerics on the company's own research post Radical Numerics and Aptamino run three rounds of lab-measured antibody design with Omnii-1, and two designs bind tighter than the test can read
Eric NguyenCo-founder and CEO Bio-security is an AI Arms Race- JJacob RinaldiHead of Scientific Strategy Radical Numerics: Head of Scientific Strategy
Stefano MassaroliCo-founder and President Radical Numerics · Seed · $50M
Funding rounds tracked
- 2026-06-15Seed · $50MconfirmedLed by Emergence Capital · With Obvious Ventures, Triatomic Capital, Factory, First Spark VenturesStated use: scale the next generation of models, grow the research team, and build compute and data infrastructure
Each round links to its line on the funding record, with its source.
Also in Science models and AI scientists on the funding board
The other companies the funding board files under the same field, latest round first. A list of what the record tracks, not a ranking or a market map.
- 2026-10-13Tianxu Intelligent TechnologyPre-A+ · tens of millions of yuanBuilds a weather model for the energy industry (wind speed and solar irradiance rather than general forecasts) with the China Meteorological Administration's public service centre, and is putting the model on satellites of its own to make the observations it trains on.
- 2026-10-13Drylab AISeed · $3MAgents that run computational biology workflows end to end (planning the analysis, choosing among more than 800 tools and databases, getting the compute and working through failures), with a separate model of its own checking each analytical decision and flagging method errors; installed on a customer's private infrastructure or workstations.
- 2026-10-06VinciSeries B · $250MBuilds a physics foundation model with GPU-native solvers that gives engineers solver-accurate thermal, thermo-mechanical and fluid results while a design is still changing, starting with semiconductors.
- 2026-09-30ZenithonSeed · $10MWorld models for extreme physics (fusion reactors, rockets and semiconductor manufacturing) meant to replace simulations that take days to months, starting with fusion customers.
- 2026-09-30Autopoiesis SciencesSeed · $11MBuilds AI for scientific reasoning: Aristotle, a research assistant that helps scientists form hypotheses and weigh evidence, and Columbus-1, an autonomous system for long research problems. It says it builds training environments and datasets from expert scientists' judgment.
- 2026-09-24Metis ReasoningRound (unnamed) · tens of millions of dollarsEarly-stage lab building AI meant to reason and act reliably beyond its training data, naming embodied AI, science and engineering as target fields.
This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.