
From Reactive Monitoring to True Early Warning.
We specialize in Topological Data Analysis and Resilient Telemetry for Critical Infrastructure.
Conventional structural health monitoring triggers alarms only after physical thresholds are breached, often too late, and at the cost of chronic alarm fatigue.
We apply Topological Data Analysis and fault-tolerant edge telemetry to capture subtle, nonlinear failure mechanisms before they manifest as critical events.
Deployed purely in the analytics layer — no hardware replacement required.
By tracking the geometry of data in high-dimensional phase space, we can detect bifurcation points and system resilience loss. Our analytical method can provide foresight of critical events before they show up as threshold violations in your data set.
Seamlessly integrates heterogeneous instrumentation (piezometers, inclinometers, flow meters, seismic sensors) into a unified topological framework on top of your existing SCADA or cloud repository.
Dual-track verification decouples sensor degradation and environmental noise from real structural anomalies, reducing false-positive rates and ending unnecessary field inspections.

Michał Janiga
Michał is a licensed civil engineer bridging domain expertise with advanced data analytics.
Holding an M.Sc. in Hydraulic Engineering alongside postgraduate degrees in Geotechnical Design and Data Science, he brings hands-on analytical experience in Structural Health Monitoring for critical infrastructure, specializing in nonlinear anomaly detection and early warning risk mitigation.

Tomasz Kalinowski
Tomasz is a senior full-stack web applications developer and telecomunications engineer.
He has over 12 years of experience providing solutions for for small startups and governmental institutions as well. He's well versed in Systems Design, programming Distributed Architectures and User Interfaces.