Production-grade scientific computing APIs powered by differential geometry. From enzyme kinetics to brain imaging—rigorous mathematics, simple REST endpoints.
Each API encodes a mathematical framework that replaces heuristics with geometry.
Predict proton-coupled electron transfer rates directly from Hessian matrices. A complete pipeline from quantum chemistry output to experimentally comparable rate constants.
For computational chemists, enzymologists, and electrochemists
Riemannian geometry applied to diffusion tensor imaging. Detects white matter microstructure that conventional scalar measures miss entirely.
For neuroimaging researchers and radiologists
Standard REST endpoints. JSON in, JSON out. The geometry happens on our side.
Get an API key from your dashboard. Include it in the Authorization header.
POST your Hessian matrix or diffusion tensors as JSON. We handle parsing, validation, and unit conversion.
Receive computed rates, tunneling coefficients, curvature maps, and statistical summaries in a single response.
Use our Python SDK or call the REST API directly from any language. Batch endpoints available on Pro.
No credit card required for the free tier. Upgrade or cancel anytime.
For exploration and prototyping
For active research and production
For institutions and pharma teams
OmniSciences builds scientific computing tools grounded in differential geometry. We take mathematical structures that exist in the research literature—symmetric spaces, Riemannian manifolds, information geometry—and turn them into production APIs that scientists can use today.
Our approach is distinctive: where others fit parameters to data, we derive predictions from geometry. The PCET engine encodes vibronic coupling theory into a Hessian-to-rate pipeline. The DTI engine treats diffusion tensors as points on GL+(3)/SO(3) and computes curvature invariants that detect microstructure invisible to conventional methods.
Founded in 2026 and based in the United States. Two U.S. patents pending.
Whether you need API access, have technical questions, or want to discuss an enterprise deployment—we would like to hear from you.