# Physicsx

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

PhysicsX is an AI-native engineering software company, founded in 2020 and headquartered in London (Shoreditch) with an office in New York, building a platform that embeds physics AI directly into industrial engineering and manufacturing workflows. The platform unifies simulation, physics AI, data, and engineering applications into a single foundation, pairing fast AI-driven physics inference (Deep Physics Models) with numerical simulation to compress development cycles and expand the design space engineers can explore. It integrates with industry-standard CAE/CAD tooling (ANSYS, CATIA, Siemens NX, OpenFOAM, Siemens Star-CCM+), runs cloud-agnostically across AWS and Azure plus hybrid and on-premises deployments, and serves aerospace and defense, automotive, semiconductors, materials, and energy and renewables. Born out of Formula One, PhysicsX has raised roughly $489M across five rounds from investors including General Catalyst, Atomico, Temasek, NVIDIA, Siemens, and Applied Materials. There is no public developer API, SDK, or documentation surface at this time; this profile captures the company identity and public web properties.

## Kin Score — 8.7 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Energy & Utilities**: 13.5 (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)

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

## Tags

Company, Artificial Intelligence, Machine-Learning, Engineering, Simulation, Physics, Manufacturing, Aerospace, Automotive, Semiconductors, Energy, CAE

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