# ChemTech AI

**Canonical:** https://apis.io/providers/chemtech-ai/  
**Website:** https://chmtch.com  
**APIs profiled:** 0

ChemTech AI is an industrial software company, founded in 2018 and headquartered in New York, that builds autonomous AI control systems for chemical production plants. Its software continuously optimizes manufacturing by autonomously adjusting DCS setpoints to push plants to their maximum safe capacity, sustaining peak production while reducing emissions and losses. The platform is applied across chemical processes including ammonia, nitric acid, phosphoric acid, sulfuric acid, methanol, ethanol, and polyethylene, serving the chemicals, food, cosmetics, and oil and gas sectors. ChemTech AI is a portfolio company of 500 Global. No public developer API, SDKs, or developer portal are currently published.

## Kin Score — 9.2 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 9.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| 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

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

## Security (1)

- **Chemtech Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Industrial Automation, Chemical Manufacturing, Process Optimization, Autonomous Control, Manufacturing

---

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