The New Normal in Anomaly Detection

Boon Logic introduces a breakthrough approach to anomaly detection. Autonomously training for the normal. Boon Logic’s platform detects anomalies in the most complex assets and environments.

Boon has the most accurate anomaly detection.

Understand the normal

Detect the abnormal

Once you know what normal is, detecting the abnormal is easy — even in the most complex environments. 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.

Other anomaly detection

// Focuses on the abnormal

Boon Logic’s anomaly detection

// Focuses on the normal

Prevent the unexpected, no matter the industry.

AI Visual Inspection

Reduce engineering costs, prevent defects, and improve efficiency and accuracy with AVIS automated visual inspection

AI On-Chip

Edge-native AI with on-device training and real-time inference for increased efficiency and scalability in pattern recognition and anomaly detection on micro-controllers

AI Predictive Maintenance

Reduce downtime by deploying Amber across your operations, freeing your engineering team to focus on mission-critical tasks.

Discover anomaly detection never seen before.

Auto-learning algorithm

Boon Logic's auto-learning algorithm trains itself on the fly using live or historical data, enabling deployment in minutes, not months. By building its models on normal operational data, Boon Logic’s unsupervised ML increases accuracy and speed while requiring less data and processing power.

Testimonials

Ken Wood

Vice President, Hitachi

We spent the better part of two man-years and over a million dollars to create a solution that gave us a 20-minute prediction for equipment failure. Boon Logic’s team, with the Nano, was able to deliver 2-hour advanced warning with less than 3 days of effort to create the solution. With this capability and the speed of training, we could have done 100 projects in the same time.

Steve Choi

Managing Director, Foghorn Systems

I conducted a few POCs for a large printing company on a 1-million-dollar printer. The Nano predicted a paper jam 2 hours in advance. With that same customer we predicted a paper rip 30 minutes in advance.

Learn more about auto-learning

$800k Compressor Failure Avoided

Amber detected an issue on a critical compressor two months before scheduled PM, saving $800k in repair costs and avoiding several days of downtime.

88% Fewer Falsely Accepted Defects

Compared to human inspectors, AVIS had 88% fewer falsely accepted defective products, helping increase production volume by 22%.

1,000x Faster than K-Means

Compared to k-means, Boon Logic’s core technology, the Nano, is 1,000x faster without hardware acceleration.

Make failure and downtime an anomaly with the help of our platforms.