Physics.
Encoded in AI. Physics. Encoded in AI.

The platform for engineering teams building and operating Physics AI at scale.

Adopted by teams pushing engineering forward.

Luminary enables engineers to encode physics into AI, transforming how physical systems are designed, built, and operated. Teams can move faster, explore more possibilities, and make better decisions across the product lifecycle.

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

Physics AI is reshaping engineering.

01.

Physical Verification in Real Time

In design or in live operation, verify how a system behaves in milliseconds instead of hours or days, with accuracy validated against high-fidelity simulation and physical test.

02.

Explore More, Settle Less

Traditional simulation is too slow and costly to cover the full design space, so teams settle early. Explore far more of it at near-zero marginal cost and ship designs that perform better and fail less.

03.

A Compounding Advantage

Encode your engineering expertise and physical data, including live operational data, into reusable models. Each program makes the models more accurate, and each model makes the next program faster.

From Data to Prediction

Trained on simulation, test, and operational data, Large Physics Models learn how designs flow, deform, heat, and move, then predict the behavior of a new design in less than a second.

Datasets: large simulation datasets, experimental data, operational and sensor data

01.

Generate and Unify Data

Generate simulation, test, and operational data and curate into a unified dataset.

02.

Train and Validate Models

Train models that encode the underlying physics of real systems, grounded in real-world data.

03.

Rapidly Predict Physics

Rapidly generate accurate predictions of full physical fields to enable novel, high-impact applications.

01.

Generate and Unify Data

Generate simulation, test, and operational data and curate into a unified dataset.

02.

Train and Validate Models

Train models that encode the underlying physics of real systems, grounded in real-world data.

03.

Rapidly Predict Physics

Rapidly generate accurate predictions of full physical fields to enable novel, high-impact applications.

>0K faster than simulation

<0% prediction error for leading models

<0WK data to deployed model

0× data generation throughput

>0K faster than simulation

<0% prediction error for leading models

<0WK data to deployed model

0× data generation throughput

Operating Physics AI in Production

Curate and Generate Data

Generate simulation data with scalable orchestration across proprietary, commercial, and open-source solvers. Continuously ingest test and operational data while preserving provenance.

Build and Validate

Train models across fluid flow, structures, thermal, and electro-magnetics. Evaluate accuracy and uncertainty to define where predictions are reliable and applicable.

Deploy and Govern

Embed inference directly into CAD, CAE, and analysis workflows. Monitor model health, trigger retraining, and maintain auditability across cloud, hybrid, and private deployments.

Operating Physics AI in Production

Curate and Generate Data

Generate simulation data with scalable orchestration across proprietary, commercial, and open-source solvers. Continuously ingest test and operational data while preserving provenance.

Build and Validate

Train models across fluid flow, structures, thermal, and electro-magnetics. Evaluate accuracy and uncertainty to define where predictions are reliable and applicable.

Deploy and Govern

Embed inference directly into CAD, CAE, and analysis workflows. Monitor model health, trigger retraining, and maintain auditability across cloud, hybrid, and private deployments.

Luminary's Physics AI Factory

01.

Comprehensive support for test, operational, and simulation data spanning structural, fluids, thermal, and electromagnetics.

Luminary's Physics AI Factory

01.

Luminary connects data, model development, validation, deployment, and continuous retraining in one platform, giving teams a single system for operationalizing Physics AI.

02.

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.

03.

APIs, SDKs, and Luminary's AI Assistant make it easier to embed Physics AI into the engineering tools and pipelines teams already use.

04.

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.

Luminary's Physics AI Factory

01.

Luminary connects data, model development, validation, deployment, and continuous retraining in one platform, giving teams a single system for operationalizing Physics AI.

02.

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.

03.

APIs, SDKs, and Luminary's AI Assistant make it easier to embed Physics AI into the engineering tools and pipelines teams already use.

04.

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.

Go to Platform