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.

Physicsx is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Engineering, and Simulation.

Physicsx’s developer surface includes engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

10.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyArtificial IntelligenceMachine LearningEngineeringSimulationPhysicsManufacturingAerospaceAutomotiveSemiconductorsEnergyCAE

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 10.8/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

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Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: physicsx
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/physicsx.png
name: Physicsx
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/physicsx/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
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x-tier: stub
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specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Engineering
- Simulation
- Physics
- Manufacturing
- Aerospace
- Automotive
- Semiconductors
- Energy
- CAE
apis: []
common:
- type: DomainSecurity
  url: security/physicsx-domain-security.yml
- type: LLMsTxt
  url: llms/physicsx-llms.txt
- type: Website
  url: https://www.physicsx.ai/
- type: About
  url: https://www.physicsx.ai/about
- type: Blog
  url: https://www.physicsx.ai/newsroom
- type: Support
  url: https://www.physicsx.ai/contact
- type: GitHubOrganization
  url: https://github.com/PhysicsXLtd
- type: PrivacyPolicy
  url: https://cdn.prod.website-files.com/67521ae751519bd4a23e29e8/6759f811daf98dba6ad4dae6_66f31ac60db020afaffd30d7_PhysicsX-Privacy-Policy.pdf
- type: LinkedIn
  url: https://www.linkedin.com/company/physicsx/
- type: X
  url: https://x.com/physicsxai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 2
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