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
8.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningEngineeringSimulationPhysicsManufacturingAerospaceAutomotiveSemiconductorsEnergyCAE

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 8.7/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 1.2 / 17
Access Clarity 1.8 / 17
Operational Transparency 0.3 / 11
Contract Governance 0.0 / 10
Discoverability 4.9 / 9
Regulatory Posture 2.0 / 15
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
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
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Regulatory Posture applies to this provider. Its tags matched the Energy & Utilities regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/physicsx: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Physicsx Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

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
LinkedIn

Other 1

Properties that don't map to a standard resource type

X
X

Source (apis.yml)

apis.yml Raw ↑ 
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:
- general-catalyst
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Engineering
- Simulation
- Physics
- Manufacturing
- Aerospace
- Automotive
- Semiconductors
- Energy
- CAE
tags_raw:
- 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
  pass: local-v1