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.
What Data Scientists are saying:
“Over the past decade, billions of research dollars have been poured into supervised, neural-network based methods. These methods have become computationally exorbitant with diminishing returns, and have under-delivered on the promise of ushering in a golden age of AI in industry. Researchers in academia have already recognized that the future lies in unsupervised techniques, and Boon Logic is at the tip of the spear in applying such methods in industry.”
“I’ve been using unsupervised ML for my entire career for both segmentation and anomaly detection, especially K-means, SOMs, and regression techniques. Now that I have seen the accuracy and incredible speed of the Boon Nano, I don’t see a reason I would go back to those other techniques.”
“During my time as a data scientist at MIT, I worked on state-of-the-art neural network models that required thousands of dollars of computing over days or weeks to train. We didn’t have anything like Boon Nano, which trains on internet-scale datasets in hours or even minutes on an ordinary laptop. I would now avoid approaching difficult anomaly detection problems with anything besides Boon Nano.”
“Prior to using Boon Nano, productivity levels were often determined by the speed of the technology I was using, which caused projects to require 2-6 months to complete. Since experiencing the speed of Boon technology, projects now take hours to days to complete.”
This breakthrough technology powers the company’s anomaly detection-based AI solutions for:
equipment condition monitoring and anomaly detection (AMBER) that drive predictive maintenance
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.
