PLATFORM
One Engine. Every Industry That Needs to Know What Normal Looks Like
Boon Logic’s anomaly detection platform trains on known data about normal operations and assets instead of getting lost in unknown hypothetical failures, defects, and other anomalies. Once you know what normal is, detecting the abnormal is easy — even in the most complex environments.
Explore Platform
Other anomaly detection focuses on the abnormal. Boon Logic’s anomaly detection focuses on the normal — establishing a reliable baseline first, so defects, failures, and events can be found, explained, and acted on with far less data and no labeled training sets.
One Core. Three Tiers.
Core SDK — Nano
The fastest, most accurate unsupervised ML core available. Auto-tuning, no-GPU, 1,000x faster than k-means, and the SDK every vertical pack is built on.
Edge Runtime — PicoAI
The same engine, running on-device. CPU-native AI for the edge, with on-device training and real-time inference for micro-controllers and constrained hardware.
Vertical Packs
AVIS (pharmaceutical visual inspection) and Amber (industrial predictive maintenance) are today’s shipped vertical packs. Aerospace, utility meters, medical imaging, and network/packet security are next candidates.
Technical Architecture
Four anchor topics for developers and enterprise evaluators alike:
Explainable, Deterministic Anomaly Detection
Unsupervised Anomaly Detection (No Labels)
CPU-Native AI for the Edge
Nano as a Baseline Intelligence Layer
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Proven at Scale
1,000x faster than k-means. Auto-learning algorithm trains itself on the fly using live or historical data, enabling deployment in minutes, not months.