Skip to main content

PhysicsX

PhysicsX develops AI-driven simulation technologies to enhance the design and operation of complex machines and products, focusing on industries such as renewables, automotive, and aerospace. By enabling organizations to optimize engineering processes, PhysicsX addresses the challenges of performance improvement and resource efficiency in critical sectors.

Traction 10/10
London, United Kingdom · HQ
Founded 20191497K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Software Only
Updated 4 months ago

Funding

Raised to date

$500MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 3 rounds

ACAMIG+8

$300M · Series C

Announced Jun 2026 · from article date

Disclosed cumulative: $467M

3/3

Founders

2 founders

Gui Braccialli

CEO

Jacomo Corbo

CEO/Co-founder

Product

Problem

Traditional engineering processes for complex machines and products rely on time-consuming and resource-intensive simulations, hindering innovation and efficient design optimization. Existing simulation tools often lack the speed and accuracy required to address critical challenges in industries such as renewables, automotive, and aerospace.

Solution

PhysicsX provides AI-driven simulation technologies that accelerate the design, manufacturing, and operation of complex products and machines. By leveraging AI, PhysicsX enables organizations to optimize engineering processes, improving performance and production while reducing consumption and waste. The platform facilitates high-fidelity physics simulations across the engineering lifecycle, achieving results in seconds that previously took hours or days. PhysicsX partners with organizations to build AI solutions that unlock significant improvements in product and process performance.

Target Audience

The primary target audience includes organizations in the renewables, automotive, aerospace, materials, and semiconductor industries seeking to accelerate innovation and optimize engineering processes using AI-driven simulation.

Features

  • AI-accelerated physics and chemistry simulations for faster design cycles
  • Domain expertise and deep collaboration to build tailored AI solutions
  • Focus on industries critical to addressing global challenges, including renewables, automotive, and aerospace
  • Ability to improve product performance, increase production efficiency, and reduce waste
  • Strategic collaborations with technology leaders like Microsoft
  • Support for high-fidelity simulations across the entire engineering lifecycle
This profile is AI-generated and may contain inaccuracies.