# Radical Numerics

**Canonical:** https://apis.io/providers/radical-numerics/  
**Website:** https://radicalnumerics.ai  
**APIs profiled:** 0

Radical Numerics is an AI research lab building what it calls "general biological intelligence" — next-generation AI architectures aimed at biology and science rather than language. It was founded by machine-learning researchers Michael Poli, Stefano Massaroli, Eric Nguyen, and Armin W. Thomas (associated with the Hyena and Evo / Evo 2 genomics model families), with an advisory board including Eric Horvitz, Chris Ré, George Church, and Andrew Weber. The lab focuses on the science of scaling, architecture, and systems: massive context windows scaling toward one billion tokens, generative genomics, biological threat detection, and multimodal biological intelligence. Its first product, Omnii, is an early-access health research preview. The company announced a $50M seed round in June 2026, with backing including Obvious Ventures. As of this profile Radical Numerics publishes no public API, developer portal, or SDKs.

## Kin Score — 3.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Health**: 7.5 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Radical Numerics Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Economic Health, Artificial Intelligence, Machine-Learning, Genomics, Biology, AI Research Lab

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/radical-numerics/). Scores are computed from the provider's own public artifacts under a published rubric.