The Physics AI Factory
Luminary turns Physics AI into a repeatable production capability by connecting data, model development, deployment, and governance in one platform.
Every Stage. One Connected Platform.
Deploy on Your Terms
SaaS
Get started quickly in a fully managed cloud environment. Luminary handles the infrastructure so your team can focus on building, validating, and deploying Physics AI models.
Hybrid
Combine Luminary-managed services with your own infrastructure to meet security, compliance, and operational requirements without fragmenting the workflow.
Private Cloud
Run Luminary entirely inside your own environment for programs with strict data sovereignty, export control, or air-gapped requirements. Your data, models, and deployments stay under your control.
Built to Operationalize Physics AI
A platform built to bring Physics AI into production, enabling faster deployment, seamless integration, and reliable performance across complex systems.
- Generate or ingest simulation, test, and operational data in one system, with the physical context, configurations, and provenance needed to build reliable Physics AI models.
- Train and validate models across fluids, structures, thermal, electromagnetics, and other domains within a unified platform built for real engineering workflows.
- Train and deploy Luminary models, your own proprietary models, and leading third-party architectures including NVIDIA GeoTransolver in one platform. Stay at the cutting edge and maintain the flexibility to adopt new approaches as Physics AI evolves.
- Improve model performance as designs evolve and new data arrives, with traceable retraining, revalidation, and reuse across related programs.
- Embed inference inside CAD and CAE workflows, analysis pipelines, and control systems through APIs, SDKs, and modular interfaces rather than forcing teams into a monolithic UI.
- Adapt models to a specific design space and operating envelope, then evaluate and monitor them across the product lifecycle using targeted data acquisition and transfer learning.
- Compose workflows, analyze datasets, diagnose failure modes, and recommend next steps for engineering teams with AI-assisted workflow development.
- Operationalize new models quickly with standardized workflows for training, evaluation, packaging, and deployment, without rebuilding infrastructure for every program.
- Support SaaS, VPC, and on-prem deployment, including air-gapped and highly restricted networks, with control over data, model weights, and runtime execution.
- Detect when inputs fall outside the model's validated envelope and trigger the right response, whether that means fallback behavior, escalation, or targeted data collection.
- Keep proprietary data and models under customer control so the resulting system remains a secure, compounding asset inside the organization.
- Maintain lineage from requirements to datasets to trained models to deployed endpoints, with reproducible runs and immutable records of what was deployed where, when, and why.
Physics AI for When It Must Be Right
Luminary is built for engineering organizations that cannot afford to treat Physics AI as an experiment. On mission-critical programs, teams need the control, validation, and deployment flexibility to move fast without cutting corners.
See the Platform in Action.
Talk to a Physics AI engineer and explore how Luminary fits your program, your data, and your infrastructure.
Talk to an Engineer