# Chemify

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

Chemify is a Glasgow-based programmable-chemistry company, spun out of the University of Glasgow in 2022 by chemist Lee Cronin, that digitizes the creation of molecules through what it calls "Chemputation." The platform fuses AI/ML-driven molecular design, a universal chemical programming language, and robotic synthesis so pharmaceutical, biotech, and industrial partners can move from a novel concept to a makeable compound end to end. In 2025 Chemify opened its first Chemifarm, a fully automated chemistry facility in Glasgow's Maryhill district that pairs its molecular-design engine with industrial-scale robotic synthesis, and closed a $50M Series B co-led by Wing Venture Capital and Insight Partners, with backing from DCVC. Chemify does not currently publish a public developer API, documentation, or SDKs; engagement runs through its partner program.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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

Requires approval — onboarding: approval, pricing: unknown, trial: no (confidence: medium).

## Security (1)

- **Chemify Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Chemistry, Programmable Chemistry, Robotics, Artificial Intelligence, Machine-Learning, Drug Discovery, Materials Science, Automation, Molecular Design

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