Science at the speed of thought.
Talaria Scientific accelerates the creation of physics-based digital twin surrogate models and optimizes over them to solve complex design problems.
Talaria, the research harness, builds and validates surrogate models from your ideas, simulations, and process data. TauOpt, the optimizer, searches over these models and your real-world evaluations to optimally design and configure complex systems.
What we help you do
Build models, optimize, solve design problems
- 1Build physics-based surrogate modelsTurn your ideas, simulations, and process data into validated digital twins, with a research loop that runs the validation work and a record that backs every result with its provenance.Talaria Harness
- 2Globally optimize complex systemsFind the best configurations when every evaluation is expensive and the optima are non-local: hyperparameter optimization for AI training, backtests of algorithmic trading policies, or physical experiments. Ask for the next configurations to try, evaluate them, report the results, repeat.TauOpt Optimizer
- 3Solve physics-based optimal design problemsSearch over Talaria-validated surrogate models and your real results for the next design to test: a material, a component, or an advanced manufacturing process.Talaria Harness and TauOpt Optimizer Together
How it works
What we offer
Open core with hosted and enterprise options
Built on an open core, the Talaria harness and TauOpt optimizer are Apache 2.0 and free for anyone. Hosted and enterprise offerings allow for more flexibility, portability, and custom services.
1Open core
2Hosted platform
3Enterprise platform and services
What you get
When
Next steps
Why
The thinking behind it
The company
Talaria Scientific is the product line of Distributional, Inc., founded in 2023 in Palo Alto, California, backed by Andreessen Horowitz, Deviation Capital (formerly Two Sigma Ventures), SV Angel, and others, and built by Scott Clark.
Get access, or get in touch
Talaria is in private beta with a small group of researchers, and TauOpt is in closed beta. For product access, use the request forms. For enterprise, partnerships, or press, use the contact page.
