PhysicsX

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.

Basic Information

Contact Details

• Website: physicsx.ai
• LinkedIn: linkedin.com/company/physicsx
• Twitter: twitter.com/PhysicsxAI

Key Focus Areas & Initiatives

• AI-native engineering platform development
• Real-time multiphysics simulation
• Generative design exploration
• Automated engineering optimization
• Climate transition solutions
• Industrial resilience enhancement
• Enterprise digital twin technology
• Advanced manufacturing automation
• Predictive maintenance and model training
• AI-driven simulation orchestration
• Scalable infrastructure for complex engineering workflows

Technologies Used

• .NET
• AI
• AWS Analytics
• AWS HPC
• AWS Key Management Service (KMS)
• AWS Trusted Advisor
• Amazon AWS
• Amazon S3
• Amazon SES
• Amazon Virtual Private Cloud (Amazon VPC)
• Amazon Web Services (AWS)
• Android
• Apple macOS
• Argocd
• Azure Analysis Services
• Azure Blob Storage
• Backstage
• BirchStreet Procure-to-Pay
• CATIA
• COMSOL
• Cloudflare DNS
• Crossplane
• Dask
• Docker
• Fastapi
• Flux
• Frame
• Git
• GitHub
• GitHub Actions
• Google Cloud Platform
• Google Cloud Storage
• Grafana
• Grafana Loki
• HELM
• HPE MDS600
• IBM ILOG CPLEX Optimization Studio
• Instagram
• Istio
• Kubeflow
• Kubernetes
• LangGraph
• Langchain
• Lever
• LinkedIn Ads
• Looker
• MLflow
• Markdown
• Microsoft Azure
• Microsoft Azure Monitor
• Microsoft Office 365
• Microsoft Windows Server 2012
• MinIO
• Mint
• Mobile Friendly
• Monte Carlo
• NumPy
• OpenTelemetry
• Outlook
• Pinecone
• PyTorch
• Python
• QuickBooks
• React
• Route 53
• Rust
• Scipy
• Simcenter STAR-CCM+
• Sizmek (MediaMind)
• Spark
• Taleo Applicant Tracking Systems (ATS)
• Temporal Cloud
• TensorFlow
• Terraform
• TypeScript
• Vector
• Vimeo
• Weaviate
• Webflow
• go+
• pandas

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

• 📆 New job postings for simulation or engineering roles
• 🚀 Launch of new AI-driven engineering offerings
• 💰 Large venture or Series B funding rounds
• 🗺️ Expansion into new manufacturing or energy markets
• 🧑‍💻 Major technology stack upgrades or migrations
• 🤝 Partnership announcements with aerospace or automotive leaders