Integrate Chimborazo's satellite-free positioning and weather prediction directly into your applications through our API. Process GPS trajectories, extract S-Entropy values, and generate weather forecasts programmatically.

The API supports all major GPS formats (GeoJSON, GPX, KML, TCX, FIT) and returns structured results including position estimates, entropy decompositions, and forecast timeseries.

Flexible pricing tiers from research to enterprise, with dedicated support and SLA guarantees for production deployments.

Run Chimborazo on your own servers with full control over data and processing. The framework includes Python and Rust components optimized for high-throughput batch processing.

Enterprise licenses include source code access, priority bug fixes, and architecture consultation to ensure optimal deployment within your existing infrastructure.

Memory-safe Rust acceleration modules ensure reliable operation at scale, with Kalman filtering and Bayesian analysis pipelines included.

Partner with us to explore novel applications of the Chimborazo framework in your specific domain — from environmental monitoring to sports analytics to defense applications.

Our research team can adapt the S-Entropy extraction pipeline and partition dynamics engine to your unique requirements, datasets, and accuracy targets.

Joint publications, IP sharing arrangements, and collaborative grant applications available for academic and institutional partners.

Our engineers work alongside your team to integrate Chimborazo into your existing technology stack. From initial architecture review to production deployment, we ensure a smooth integration.

We provide hands-on support for connecting Chimborazo to your GPS data sources, weather databases, and downstream analytics systems.

Typical integration engagements run 4-12 weeks and include knowledge transfer, documentation, and post-deployment support.

Send us your GPS trajectory archives and we'll process them through the Chimborazo pipeline, delivering S-Entropy extractions, position reconstructions, and weather correlations.

Ideal for organizations with large historical datasets who want to extract atmospheric insights without deploying the full framework internally.

Secure data handling with encryption in transit and at rest. Results delivered in your preferred format (CSV, Excel, HDF5, or via API).

Comprehensive training programs covering the theoretical foundations of partition geometry, practical framework operation, and advanced customization techniques.

Workshops can be delivered remotely or on-site, tailored to your team's technical background — from introductory overviews for decision-makers to deep-dive sessions for engineers.

All participants receive access to training materials, example datasets, and a sandbox environment for hands-on practice.