Convergent Anomaly and Aberration Detection. You have multiple data sources measuring the same thing. When they agree, trust the signal. When they don't — CAAD tells you where the gap is, why it exists, and how far it's spread.
Most anomaly detection asks: "is this reading unusual?" CAAD asks a different question: "do two independent ways of measuring the same thing agree?" That's a fundamentally harder question to fool.
Any two independent measurements of the same system. Sensors and satellites. Field data and reported data. Model predictions and ground truth.
Not just "is there a gap?" — but where is it, how big, is it growing or shrinking, and is it caused by sensor error or something real?
Your sensors have calibration drift. Your data has dropouts. CAAD separates these from genuine anomalies — so you don't chase ghosts.
First deviation point. Chain propagation. Coverage blind spots. You don't just know something is wrong — you know exactly what to do about it.
First deviation mapping. The exact point in your system where the gap first appeared — not just "something is off" but "it started here."
Signal vs noise decomposition. Is this gap caused by a sensor glitch or a real event? CAAD quantifies both so you don't waste time on false positives.
Chain propagation tracking. Once an anomaly starts, how far has it spread? Which neighbouring components are now affected?
Coverage analysis. Your monitoring network has blind spots. CAAD measures their cost — so you know where to invest next.
We validate CAAD against open-source, verifiable problems. Each study below uses real simulation tools and publicly available data. The results are interactive — explore them yourself.
Simulated 36-edge traffic network using SUMO. Blocked a road at minute 20. CAAD identified the exact segment, separated sensor noise from real congestion, and tracked the congestion wave across neighbouring roads.
72 hours of temperature monitoring across 24 Kenyan weather stations. When a cold front arrived, satellite estimates lagged behind ground readings. CAAD showed exactly which stations were in the anomaly zone.
120-minute monitoring window across the Rift Valley. M4.2 earthquake at minute 45, aftershock at minute 75. CAAD tracked wave propagation, identified monitoring blind spots, and separated instrument noise from real ground motion.
Your domain not listed? CAAD works anywhere you have two independent ways to observe the same system. Health, finance, agriculture, infrastructure — tell us what you're working with.
We don't do demos with fake data. We start with your actual data sources, run a real analysis, and show you what your system is missing. If it works — and it will — we build from there.
Give us access to your two data sources. We run CAAD against your real system and deliver a diagnostic report showing what we found.
Continuous monitoring. CAAD runs against your live data streams and alerts you when the gap between observers changes — in real time.
Run the CAAD engine inside your own platform. Self-hosted, your data never leaves your infrastructure. Full control.
Start with a 30-day pilot. Real data, real results, real insight into what your system is missing.
Book a pilot