Physics.
Encoded in AI. Physics. Encoded in AI.
The platform for engineering teams building and operating Physics AI at scale.
Luminary enables engineers to encode physics into AI, transforming how physical systems are designed, built, and operated. Teams can move faster, explore more options, and make better decisions across the product lifecycle.
Adopted by teams pushing engineering forward.
Physics AI is reshaping engineering.
Faster Development
Replace slow simulation bottlenecks with near-instant physics prediction. Teams can iterate faster, without waiting on traditional analysis cycles.
Better Designs
Explore far more of the design space before committing, revealing better designs that were previously too costly or time-consuming to discover.
Lower Risk
Stress test designs across a wide range of operating conditions before committing to production. Catch failure modes in prediction, not in the field.
Operational Intelligence
Connect Physics AI to deployed systems to anticipate failures, adapt to real-world conditions, and improve performance in operation.
In Practice
Physics AI models deliver high-fidelity predictions of physical behavior in less than a second.
Generate and Unify Data
Generate simulation, test, and operational data and curate into a unified dataset.
Train and Validate Models
Train models that encode the underlying physics of real systems, grounded in real-world data.
Rapidly Predict Physics
Rapidly generate accurate predictions of full physical fields to enable novel, high-impact applications.
Operating Physics AI in Production
Luminary's Physics AI Factory
Comprehensive support for test, operational, and simulation data spanning structural, fluids, thermal, and electromagnetics.
Luminary's Physics AI Factory
Luminary connects data, model development, validation, deployment, and continuous retraining in one platform, giving teams a single system for operationalizing Physics AI.
Teams can train and validate models using state-of-the-art architectures, with evaluation, regression testing, and defined usage boundaries built into the development process.
APIs, SDKs, and Luminary's AI Assistant make it easier to embed Physics AI into the engineering tools and pipelines teams already use.
End-to-end traceability and model registry help teams understand what each model predicts, what data it used, what changed across releases, and where it is approved to run.
Built for high-stakes engineering environments.
Physics AI is the next level of complexity in AI, and Northrop Grumman is bringing this technology to our design engineers to dramatically speed up hardware development.
Han Park, VP, AI Integration, Northrop Grumman Space Systems
The Physics AI solution built with the Luminary Cloud SHIFT-SUV foundation model and Blender integration provides immediate insights into vehicle performance that designers and engineers need.
Fong Loon Pan, Principal Aero Design Lead, Honda
By running our proprietary flight sciences on their platform, we're accelerating innovation and developing next-generation Physics-AI models across our design process.
Obi Ndu, Chief Information & Digital Officer, Otto Aviation
Latest News
Luminary Launches SHIFT-Crash, the First Physics AI Model for Full-Vehicle Crash Prediction
04.14.2026Jeff Bezos plans to invest $100 billion to bring AI to factories. Here's what it means for jobs
03.24.2026Luminary Adopts NVIDIA GeoTransolver AI Model Architecture, Unlocking Up to 10x Greater Accuracy in Physics AI
03.16.2026Luminary Introduces Luminary Private Cloud to Bring Physics AI Into Secure, Air-Gapped Defense and Aerospace Environments
02.24.2026Luminary Launches New Advanced Physics AI Models to Power U.S. Department of War by Air, Land and Sea
01.12.2026Luminary Cloud Successfully Completes First SOC 2 Type 2 Examination and ISO 27001 Surveillance Audit
12.01.2025Experience Physics AI.
Explore real world applications with live Physics AI predictions.
Access Prediction Demo