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  • Anomaly Detection Platform
    Unsupervised machine learning designed for high-speed, high-complexity use cases

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    AI-based visual inspection to prevent defects, and improve efficiency and accuracy of existing visual inspection pipelines
    AI-based predictive maintenance tool, reduces downtime and frees your engineering team to focus on mission-critical tasks.

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    Manufacturing

    Increase process efficiency by detecting real-time indicators of noncompliant asset behavior with Amber.

    Heavy Industrial

    Prevent unplanned downtime weeks to months in advance with Amber’s AI-based anomaly detection.

    Pharma

    Increase quality assurance and production throughput with unmatched inspection accuracy from AVIS.

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    Learn about the Boon Nano, the world’s fastest, lightest, and most accurate unsupervised machine learning algorithm.
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Boon Logic Resources

7 May 25
The Future of Pharma Quality Control: AI-based Visual Inspection
Manual inspector trying to detect defects in a molded glass vial.
31 Mar 25
Reducing Human Error in Quality Control with AI-Based Inspection
AVI Qualification Procxess
27 Feb 25
Steps to Qualifying an AI-Based Visual Inspection System
2 Dec 24
Enhancing Upstream Inspection with AI
25 Nov 24
How AI-based Visual Inspection Reduces False Eject Challenges
4 Nov 24
Murugan Govindasamy Joins Boon Logic as Strategic Advisor
8 Sep 23
When Failure is Not an Option: The Problem with Focusing on Machine Failure
8 Sep 23
When Failure is Not an Option: The Problem with Focusing on Machine Failure
11 Jun 23
Physics-Based Modeling: What you get when you cross a Ph.D. with a Six Sigma black belt
3 May 23
Statistical Models in Predictive Maintenance Strategies: Easy to Start. Hard to Finish.

Anomaly Detection Platform

  • Nano
  • Amber
  • AVIS

Industries

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  • Heavy Industrial
  • Pharmaceuticals

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  • ANOMALY DETECTION PLATFORM
    • BoonNano
    • Amber
    • Avis
  • INDUSTRIES
    • Manufacturing
    • Heavy Industrial
    • pharma
  • COMPANY
    • About Us
    • Contact Us
    • Support
    • Partners