Describe your scientific objective in plain language. Physics-aware agents plan, code, execute, validate, and document the entire simulation workflow—producing traceable, scientifically valid results.
Computational workflows are fragmented, manual, and expertise-dependent. The day disappears into work that's required but isn't science — leaving the actual exploration of the solution space underserved.
Mesh definition, periodicity, absorbers, and boundary conditions — tuned by hand, run after run.
Parallelism, solver wiring, and optimization eat days that should be spent on the result.
Configure, fail, fix, repeat — until something finally looks plausible.
The cost: slow cycles mean wasted compute, longer time-to-result, and a solution space you never fully explore.
A coding agent helps write the code. It can't tell you whether the result is physical, whether the numerics converged, or whether it simulated the system you actually described.
AI-generated simulations often run, but produce wrong results. Physical and numerical errors are hidden, making them difficult to detect — and potentially more harmful than outright failures.
Simulation optimization requires physics and numerical understanding. Current AI struggles with the complex trade-offs between performance, accuracy, and scientific validity.
No setup or integration. Describe the goal and constraints; the rest is autonomous and fully documented — from planning to a validated, traceable result.
In natural language. The AI asks physics-aware questions and explains the reasoning behind each.
Configures geometry, materials, mesh, and boundaries; codes, runs, validates, and auto-iterates to convergence.
A full report with assumptions, discrepancies, generated code, and simulations — all traceable.
Change geometry, materials, or parameters — the system already has the right context to get the job done.
What takes a researcher three-plus weeks of setup, debugging, and validation, the system delivers autonomously — with the report to prove it.
We're onboarding a small group of computational photonics teams. Leave your email and we'll reach out, or write to us directly.
No spam. We'll only contact you about early access.
Thanks — you're on the list. We'll be in touch.
Prefer email? Reach us at hello@painteddoglabs.com
