# Entalpic

**Canonical:** https://apis.io/providers/entalpic/  
**Website:** https://entalpic.ai  
**APIs profiled:** 0

Entalpic is an AI-driven materials science company that designs molecules and materials for industrial processes by combining machine learning, atomistic simulations, and experimental feedback loops to engineer surfaces and materials at the atomic scale. Its work spans a Discovery Engine for high-throughput screening of chemical spaces, process modeling with ML-plus-CFD digital twins, and quantum/atomistic simulation for surface chemistry, applied to semiconductors and thin-film coatings, battery cathode and interface chemistry, catalysis and active-site design, and advanced specialty materials. Founded in 2024 with research roots at the Mila AI lab, the company is based at Station F in Paris and Mila in Montreal and raised an 8.5M euro seed round. Entalpic does not currently publish a public developer API, SDKs, or API documentation; this profile tracks its public web surface for the API Evangelist network.

## Kin Score — 8.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.5).

| 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 | 10.5 |
| Access Clarity | 10.5 |

## 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)

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

## Tags

Company, Artificial Intelligence, Materials Science, Chemistry, Simulation, Deep Tech, Semiconductors, Batteries, Catalysis

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