Reduce high-bandwidth telemetry, engineering sensor streams, and scientific signals with toroidal manifold mapping, exact residual reconstruction, and optional lz4 entropy packaging.
Consider a mid-market enterprise handling 50 Terabytes of active telemetry and 20 Terabytes of monthly cloud egress.
Saves $8,280/yr
Reduced raw S3 and block storage infrastructure overhead.
Saves $12,360/yr
Lower metered data transfer fees across cross-region pipelines.
Saves $25,000/yr
Eliminates the need to provision extra server clusters for raw streams.
Total Hard-Dollar Infrastructure Savings: $45,640+ Annually
At an enterprise license of $15,000, the platform pays for itself in under 4 months and delivers a 3x net ROI in year one.
A few quick answers for teams evaluating topology-driven compression for telemetry and sensor workloads.
A topology-driven compression framework for multi-variable telemetry with toroidal mapping, residual correction, and optional entropy packaging.
The public repo is an evaluation/demo experience. Pro unlocks production package delivery, managed updates, commercial usage terms, and support for deployment workflows.
Review the demo docs and benchmark telemetry in this public repo, then use the Pro checkout or API request path when you are ready for production access.
Get a quick overview of Toroidal Compression in under a minute.
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Traditional compression treats telemetry like a flat byte stream. Toroidal Compression preserves structural phase relationships, projecting data into topological space and recovering it with zero-loss precision. For the underlying theory, see epsilonframework.org.
Maps multi-variable arrays into continuous topological space, neutralizing linear redundancies across complex streams.
Exact reconstruction tracking via delta residual correction, ensuring zero degradation on critical data paths.
Optional high-speed entropy coding layer integrated cleanly at the serialization boundary for rapid over-the-air transit.
Benchmark CLI and sweep/export workflows are included in the Pro delivery package for production evaluation and rollout testing.
Designed for future C++ hardware acceleration, satellite flight hardware, and high-frequency IoT edge aggregators.
Fully tested Python package layout with automated GitHub Actions workflows running rigorous test matrices.
Rigorous multi-parameter benchmarks validate structural stability, high throughput speed, and machine-precision reconstruction.
Sweeps executed across scale factors n = 1, 2, 3 and stream configurations 10000x5, 50000x3, and 50000x5 with entropy toggled dynamically. Results exported instantly to structured CSV.
Engineered for everyone from independent researchers to enterprise-grade aerospace telemetry fleets.
Evaluate the approach with a capped demo build before committing to production access.
For teams deploying in production with commercial requirements.
Starts at $1,499 / mo
For aerospace, defense, and large-scale IoT fleets.