PhysicsX | Company Profile - Revenue, Headcount, Tech Stack, Contacts

Updated April 29, 2026

Industry & Market

No industry information available

Funding Information

No funding information available

Headcount Distribution

No headcount data available

Department Breakdown

No department data available

Keywords & Focus Areas

No keywords available

Overview

PhysicsX is a physical AI company founded in 2019 and based in London, United Kingdom, with an additional office in New York. The company develops an AI-native platform that merges deep learning, physics simulation, and multiphysics inference to enhance engineering, manufacturing, and innovation in advanced industries. Their mission centers on tackling global challenges such as climate transition and industrial resilience using AI-driven solutions that connect simulation, data management, and model training.

The company offers an advanced simulation software stack built for engineering and manufacturing. This platform enables real-time multiphysics simulations, rapid design iterations, automated optimization, and generative design exploration. PhysicsX delivers enterprise solutions to sectors including aerospace and defense, automotive, semiconductors, materials, and energy. With substantial venture funding and recognition as one of the UK's fastest-growing tech companies, they are driving innovation in AI and digital engineering workflows.

Key Metrics

Total Employees
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Engineering
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Sales Team
$XX
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Marketing
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Founded
XXXX
Year the company was founded
Revenue
$XXX,XXX,XXX
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Total Funding
$XXX M
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Market Cap
$XXX,XXX
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Contact

Founded
2019
Industry
information technology & services

Technology Stack

Analytics & Tracking

AWS AnalyticsTaleo Applicant Tracking Systems (ATS)

Social & Marketing

LinkedIn Ads

Database & Backend

AWS Trusted AdvisorFastapiPythonRust

Cloud & Infrastructure

AWS AnalyticsAWS HPCAWS Key Management Service (KMS)AWS Trusted Advisor+15 more

Productivity

Not found

How to sell to

Buyer Teams to Target

Engineering & Simulation

Director of Engineering, Lead Simulation Engineer, Senior Data Scientist, AI Systems Architect, Head of Computational Physics, Principal Software Engineer

Product & Innovation

VP of Product, Product Manager - Simulation, R&D Director, Innovation Program Lead, AI Product Owner, Design Lead - Advanced Engineering

Manufacturing & Operations

Director of Manufacturing Technology, Operations Manager, Plant Operations Lead, Automation Engineer, Director of Process Optimization, Supply Chain Data Analyst

Digital Transformation & IT

Chief Technology Officer, IT Infrastructure Manager, Cloud Systems Architect, Head of Data Platforms, Enterprise AI Strategist, DevOps Lead

What they buy

  • AI-enabled engineering simulation platforms
  • Cloud infrastructure & hosting services
  • Data management and analytics tools
  • High-performance computing solutions
  • Digital twin and modeling technology
  • Process automation and optimization software
  • Enterprise workflow integration systems

Signals to watch

πŸ“† New job postings for simulation or engineering rolesπŸš€ Launch of new AI-driven engineering offeringsπŸ’° Large venture or Series B funding roundsπŸ—ΊοΈ Expansion into new manufacturing or energy marketsπŸ§‘β€πŸ’» Major technology stack upgrades or migrations🀝 Partnership announcements with aerospace or automotive leaders

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