Boon Logic’s next-gen clustering algorithm accelerates unsupervised machine learning and simplifies AI application development. By reducing data model training from months to days and significantly reducing financial investment, Boon Nano essentially enables faster, more affordable AI solution development for generating valuable insights that increase productivity, quality and safety. Its ability to unlock data patterns and anomaly detection make it perfect for virtually an unlimited number of innovative applications that fuel growth and profitability in a variety of vertical markets.
This breakthrough technology powers the company’s anomaly detection-based AI solutions for:
automated visual inspection (AVIS) that detects product anomalies to ensure product quality and integrity of the manufacturing process
What’s more, Boon Nano’s flexibility in tuning, training, and running in real-time at the device, on premise, or in the cloud makes it a practical choice as the engine for AI solution development.
We coined the term “nano clustering” to separate our Boon Nano algorithm from other unsupervised machine learning (ML) algorithms that convey data into common groups referred to as clusters. Clusters allow users to see patterns of similarity within a selected data population that humans are incapable of manually identifying.
Why? Because Boon Nano creates far more groups to describe data in greater detail for:
- Reduced false-positive anomalies without long model training
- Faster, bigger data variability and velocity with less computing power requirements
Boon Nano: Fastest, most accurate clustering and anomaly detection algorithm in the world.