We build production-ready APIs for hard scientific problems across chemistry, medical imaging, neuroscience, and remote sensing. Validated against experiment. Ready to integrate.
Computational tools across seven scientific domains, benchmarked against published data and reference implementations.
Each product is a REST API. Send your data, get validated predictions with uncertainty quantification. No installation, no cluster time.
Hessian files, tensor fields, EEG covariances, or coherency matrices. Or just parameters.
Vibronic rate theory, Riemannian geometry, manifold classification. Each method benchmarked against published data.
Predictions with confidence intervals, feature importances, and benchmark comparisons.
curl -X POST https://api.omnisciences.io/v1/rate/parameters \
-H "X-API-Key: omni_live_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"driving_force": -5.4, "reorganization_energy": 13.4,
"coupling": 0.005, "omega_H": 2900, "d_DA": 2.69}'
{"k_H": 297.1, "k_D": 3.68, "KIE": 80.7, "E_a": 2.44}Unlimited calls
Multi-channel vibronic + priority support
Pharma & enterprise pricing available — contact us
Paper 1 accepted at Physics Letters B (2026). 12 preprints with DOIs. Open-source geometry toolkit. 8 patents filed.
Open-source Riemannian geometry for symmetric spaces. GL+(n)/SO(p,q) with DeWitt metric. Geodesics, curvature, 11 geometric features. 1,180+ tests.
Published: Pati-Salam gauge unification from the Lorentzian DeWitt metric (PLB 860, 140447). Open access via SCOAP3. A second paper is published in Geophysical Research Letters (2026, doi:10.1029/2026GL124297), with further manuscripts under review in physics, remote sensing, and climate.
All PublicationsTalk to an AI expert on Riemannian geometry that can call our APIs in real-time. Ask questions, run computations, or explore any domain through natural language.