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PhysicsX Tech Stack

AI-powered simulation and design optimization for engineering

Software Development London 51–200 employees Privately Held
physicsx.ai LinkedIn

PhysicsX builds physics-informed AI software for aerospace, automotive, semiconductors, and energy. The stack—Python + PyTorch/TensorFlow + NASTRAN/ABAQUS/ANSYS + Kubernetes—reflects a company bridging CAD/simulation tools with ML infrastructure. Heavy adoption of Backstage, Istio, and Crossplane signals they're standardizing on platform-engineering patterns to handle complex model deployment and data pipelines; the pain list (massive simulation data volumes, ML model deployment, embedding AI into legacy tools) maps directly to their project focus on production ML workflows and customer cloud strategies.

Tech Stack 109 technologies

Core StackPython NumPy Pandas TensorFlow PyTorch Figma Adobe Creative Cloud CATIA Java Grafana Loki AWS Go Kubernetes Terraform SciPy NASTRAN ABAQUS ANSYS Mechanical NX LS-DYNA Abaqus STAR-CCM+ OpenFOAM Fluent Mimir GCP Azure OPA Kyverno+72 more
AdoptingIstio Crossplane Terraform Helm Backstage vCluster

What PhysicsX Is Building

◆Challenges

  • Handling massive volumes of simulation data
  • Reliable deployment of ml models
  • Embedding ai models into tools
  • Optimizing performance for data-heavy interfaces
  • Scalable ml data pipelines
  • Accelerating hardware innovation
  • Scalable ml systems
  • Complex deployment challenges
  • Reducing costly unplanned interventions
  • Right-size infrastructure requests

▲Active Projects

  • Ai-driven simulation software stack
  • Data pipelines for machine learning
  • Advanced design optimization and doe studies
  • Parametric cad model automation
  • Deployment of ml models to customer production environments
  • Frontend platform for simulation and ml workflows
  • Customer-owned cloud and on-premise deployment strategies
  • Analytics environments and resources in the cloud
  • Deep learning models for physical system control
  • Production-ready data pipelines

Hiring Activity

Accelerating50 roles · 30 in 30d

Department

Engineering
32
Data
5
Research
4
HR
2
Product
2
Design
1
Executive
1
Marketing
1

Seniority

Senior
32
Mid
8
Principal
7
Lead
1
Manager
1
Staff
1
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About PhysicsX

PhysicsX is a physical AI company serving engineering and manufacturing teams in aerospace & defense, automotive, semiconductors, materials, and energy. The product stack spans simulation (NASTRAN, ABAQUS, ANSYS) integration, parametric CAD automation, deep-learning models for system control, and ML-powered design optimization. They operate offices in London and New York, with hiring active across the US, UK, and Singapore. The organization is engineering-heavy with emerging research and data functions, reflecting a transition from traditional simulation vendors into AI-first product development.

HeadquartersLondon
Company Size51–200 employees
Hiring MarketsUnited States, United Kingdom, Singapore

Frequently Asked Questions

What tech stack does PhysicsX use?

Python, PyTorch, TensorFlow, NumPy/SciPy/Pandas; CAD/simulation tools (NASTRAN, ABAQUS, ANSYS, NX, CATIA); cloud platforms (AWS, GCP, Azure); Kubernetes and platform-engineering tools (Backstage, Istio, Crossplane, Helm, Terraform).

Where are PhysicsX offices located?

Headquartered in London with an additional office in New York. Currently hiring in the United States, United Kingdom, and Singapore.

How this profile is built

PhysicsX's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.