We build products that help organisations see what's really happening in their data — and act on it. Health systems. Anomaly detection. Infrastructure that counts.
Each product comes from real problems we encountered — and solved. No vaporware. If it's listed here, it either works today or is being built in the open.
Self-hosted community health management. Offline-first, sync-ready, designed for environments where connectivity is a luxury and accuracy isn't optional. Your data stays on your infrastructure.
BuildingConvergent Anomaly and Aberration Detection. Finds what's off in your data before it becomes a crisis — not by setting thresholds, but by understanding what normal actually looks like from multiple angles.
In developmentThe hardest problem in data isn't analysis — it's knowing whether your numbers are right. Counting is infrastructure for organisations that need to trust their denominators.
Coming soonReal-time Kenyan Sign Language recognition, running entirely in the browser. Camera to meaning — no server round-trip, no cloud dependency. Making KSL accessible through the device you already own.
BuildingA private network for people and organisations applying convergence thinking to real problems. Shared tools, shared learnings, shared signal — across domains. If you're doing the work, the network finds you.
Request accessWe don't build tools and then look for problems. We study systems, find the structural gaps, and build only what closes them.
Every system tells you two stories — what it reports and what's actually happening. We build tools that listen to both.
The distance between what you expect and what you see isn't error. It's information. Our products are built to surface that gap and make it actionable.
Offline-first. Self-hostable. Designed for the places where reliable infrastructure doesn't exist yet — because that's where the work matters most.
Our products are grounded in original research — a formal framework for measuring convergence across independent observations. The mathematics, the proofs, and the empirical results are coming.
A domain-agnostic mathematical framework that formalises how independent measurement paths validate (or invalidate) each other. The theory behind our products. Details soon.
Agent-based simulation for testing convergence under controlled conditions. How do independent measurement systems behave at scale? What breaks first?
Applying convergence methods to meteorological data. Multiple forecast models, multiple ground-truth sensors — the gap between them tells you where the forecast is weakest.
Two sensor networks watching the same fault line. When an earthquake hits, the gap between them reveals blind spots, tracks wave propagation, and separates instrument noise from real ground motion.