Radical Numerics is an advanced artificial intelligence research lab and biotechnology company dedicated to building general biological intelligence. Headquartered in Menlo Park, California, the company focuses on creating sophisticated artificial intelligence models capable of understanding, predicting, and designing across the molecular systems of life, including DNA, RNA, proteins, and complex multiomic signals. Founded by pioneers and key contributors behind foundational biological models and long-context architectures such as Evo, Evo 2, and Hyena, Radical Numerics emerged with a prominent dual mandate: to fundamentally advance biological intelligence while simultaneously strengthening the biosecurity and biodefense frameworks required to protect it.
Core Technology: Omnii-1
At the heart of Radical Numerics' technological ecosystem is Omnii-1, a next-generation multimodal genome language model. Omnii-1 represents a major leap forward from traditional single-modality bioinformatics tools by learning simultaneously across DNA, RNA, proteins, and various other biological signals.
The model is designed to perform three core operations:
* Read: Interpret complex genomic and multiomic data to extract hidden signals and regulatory patterns.
* Write: Generate novel biological sequences tailored with precise desired functions.
* Predict: Accurately forecast the effects of genetic mutations, splicing variations, and structural changes on cellular behavior and disease phenotypes.
By bridging multiple biological scales, Omnii-1 enables researchers and clinicians to move beyond simple correlation, offering causal predictive power across diverse biological applications.
Key Applications and Products (The Omnii Suite)
Radical Numerics leverages its foundation models across a diverse suite of application-specific platforms spanning human health, industrial biotechnology, and national security:
1. Omnii Phage
Omnii Phage represents a historic breakthrough in modern medicine. Radical Numerics utilized Omnii-1 to engineer custom bacteriophages targeting antibiotic-resistant bacterial infections. In a groundbreaking milestone, an AI-designed phage therapy was successfully administered to a human patient under compassionate use after being tested and proven effective in laboratory environments against recalcitrant pathogens.
2. Omnii Defense
Recognizing the dual-use nature of biological AI, Radical Numerics established Omnii Defense to address evolving biosecurity challenges. This platform is designed to assess biological sequences based on their functional capabilities rather than mere sequence similarity to known threats, enabling proactive detection of novel or engineered biological risks.
3. Omnii Diagnostics
Omnii Diagnostics focuses on early detection and monitoring by identifying subtle cancer signals directly from blood samples, utilizing high-resolution multiomic interpretation to catch malignancies at their earliest, most treatable stages.
4. Omnii Genetics
This application bridges the gap between raw genomic data and clinical reality by connecting specific genetic variations and non-coding mutations to rare and complex genetic diseases, accelerating molecular diagnosis and targeted intervention strategies.
5. Omnii Antibody
Omnii Antibody is engineered to accelerate therapeutic discovery by designing superior antibody binders through a hybrid loop of generative AI modeling and rigorous experimental testing.
6. Omnii Cancer Vaccine
Personalized cancer vaccines rely on precise neoantigen identification. Omnii Cancer Vaccine optimizes every step of the vaccine design pipeline, from variant prioritization to epitope selection and immunogenicity prediction.
7. Omnii Rare Earth
Extending beyond human health into industrial and environmental biotechnology, Omnii Rare Earth designs specialized proteins optimized to bind and separate rare earth elements, offering green alternatives for critical mineral processing.
8. Omnii Genome
Serving as the underlying computational engine for generative multiomic modeling, Omnii Genome reconstructs missing genomic tracks, pinpoints expression-altering variants, and maps distal enhancers to their correct target genes.
Research Philosophy and Strategic Vision
Radical Numerics operates at the intersection of deep learning and wet-lab biology. The company's leadership and scientific advisors include world-renowned experts from top institutions such as Harvard Medical School, Stanford University, Sandia National Laboratories, and leading artificial intelligence organizations.
The company's philosophy centers on the premise that solving biology requires looking at life holistically as an interconnected computational system. By unifying generative genomics with rigorous safety guardrails, Radical Numerics aims to unlock new therapeutics, decode complex diseases, and establish a secure foundation for the future of synthetic biology.
