Built on a GPU-first stack
Our platform is designed around NVIDIA's GPU computing ecosystem. This is the technology stack we develop on and are building toward in production.
CUDA
Custom parallel solvers and batched simulation kernels — the layer that turns one expensive run into many cheap ones.
PhysicsNeMo (Modulus)
Physics-informed neural network surrogates for PDE-governed systems, so predictions respect the underlying physics rather than just the data.
TensorRT
Low-latency inference for surrogate model evaluation at sweep scale — thousands of candidate evaluations per optimization pass.
Cloud GPUs
Training and batch workloads on A100/H100-class instances via cloud providers, scaled up for training runs and down between them.
Engineering principles
Verify before you trust. Surrogates accelerate the search; they never replace full-fidelity verification for anything that reaches a decision.
Meet teams where they are. We integrate with existing solvers and file formats rather than asking teams to rebuild their toolchain around us.
Honest roadmap. We're an early-stage company and parts of this stack are still being productionized. Ask us in a technical call and we'll show you exactly what runs today.
NVIDIA, CUDA, TensorRT, and PhysicsNeMo are trademarks of NVIDIA Corporation. References describe our technology stack and do not imply endorsement or partnership.