# Atomwise

**Canonical:** https://apis.io/providers/atomwise/  
**Website:** https://www.atomwise.com  
**APIs profiled:** 0

Atomwise pioneered the use of deep convolutional neural networks for structure-based drug discovery, with its AtomNet platform applying AI to virtual screening of small molecules against protein targets. The company ran the Artificial Intelligence Molecular Screen (AIMS) academic collaboration program, partnered with biotech and pharma companies on discovery contracts, and built an internal pipeline of small-molecule programs. As of 2026, atomwise.com redirects to Numerion Labs (numerionlabs.ai), reflecting an apparent rebrand or successor entity that positions itself as an AI superplatform exploring drug-like chemical space with programs in immune and inflammatory diseases. Atomwise never exposed a public commercial API; AtomNet screening was delivered to partners as a service. The legacy GitHub organization (github.com/atomwise) hosts no public repositories.

## Kin Score — 5.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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)

- **Atomwise Domain Security** — TLSv1.3 · DMARC

## Tags

Drug Discovery, Biotech, Pharmaceuticals, Structure-Based Drug Design, Virtual Screening, Deep Learning, Convolutional Neural Networks, AtomNet, Small Molecules, Cheminformatics, AIMS Program, Numerion Labs

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