The New Normal in Anomaly Detection
Boon Logic introduces a visionary, elegant approach to anomaly detection. By autonomously training for the normal, Boon Logic’s platform is designed to detect anomalies in the most complex assets and environments.
With up to thousands of clusters per model,
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
Discover anomaly detection like you’ve never seen it 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
88% Fewer Falsely Accepted Defects
1,000x Faster than K-Means
$800k Compressor Failure Avoided
88% Fewer Falsely Accepted Defects
1,000x Faster than K-Means
Partners and integrators
