Luminary provides a platform that lets engineering teams embed physical laws into AI models, delivering near‑instant, full‑field physics predictions for structures, fluids, thermal, and electromagnetics.
Funding
$72M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Engineering teams rely on computationally intensive simulations to predict physical behavior, which creates long turnaround times and limits the ability to explore extensive design spaces or perform rapid stress testing.
Solution
Luminary offers a platform that enables engineers to embed physical laws directly into AI models, providing near‑instant predictions of full‑field physics across disciplines such as structures, fluids, thermal, and electromagnetics. By unifying simulation, test, and operational data into a single training dataset, the platform supports the development of accurate Physics AI models that can replace traditional simulation runs. These models are built, validated, and version‑controlled within the same environment, then deployed to production via SaaS, hybrid, or private‑cloud options. Integrated governance tools track model performance, manage retraining, and maintain audit trails, allowing organizations to iterate faster, explore broader design spaces, and reduce risk through extensive virtual stress testing.
Target Audience
Primary customers are engineering organizations in automotive, aerospace, defense, and industrial sectors that require high‑fidelity physics predictions for product development, certification, and lifecycle optimization.
Features
- Unified data pipeline that ingests and curates simulation, test, and field data with provenance metadata for scalable training set creation
- State‑of‑the‑art model development framework supporting domain‑specific architectures (including NVIDIA GeoTransolver) and built‑in evaluation criteria
- Hybrid deployment options (SaaS, VPC, on‑prem/private cloud) with API/SDK integration into CAD, CAE, and control system workflows
- Continuous governance suite that monitors model drift, tracks versions, and automates retraining as new operational data becomes available
- Full audit trail linking requirements, datasets, model artifacts, and deployment endpoints to ensure traceability and compliance
- Support for multiple physics domains (structures, fluids, thermal, electromagnetics) within a single platform to streamline cross‑disciplinary projects