Physicsx
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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Physicsx the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Physicsx scores 10.8/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Physicsx
Each block below is one kind of artifact we hold for Physicsx. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Physicsx — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/physicsx · machine-readable index on apis.io