Our Platform - AI Validator

AI Visual Inspection & Defect Detection

Cognitive AI that catches defects in real time.

AI Validator automates defect detection and process validation in manufacturing. Using advanced cognitive AI and computer vision, it identifies anomalies and defects in real time. It uses computer vision rather than a general language model, and runs on your own hardware, so sensitive process imagery never leaves the building.

AI Validator demo video
>20×Faster and more consistent than manual inspection.
Up to 80%Shorter inspection cycle times.
HoursTo stand up a new inspection, not weeks or months.
Key capabilities

Automated visual inspection, powered by cognitive AI.

AI Validator brings cognitive AI and computer vision to the production line, automating quality control without the cost and rigidity of traditional inspection systems.

01Accuracy & speed

High accuracy in defect detection means higher product quality and fewer costly human errors. Rapid inference shortens inspection cycle times and boosts overall productivity.

02Detects the unknown

AI Validator does not need to be trained on every defect. It catches defects it has never seen before, which is exactly where costly quality escapes happen.

03Continuous self-learning

AI Validator keeps improving over time, adapting to new products and defect patterns without manual programming or vendor intervention.

04Seamless integration

An API connects AI Validator to your existing enterprise applications and test environments, so you can build fully automated inspection specific to your needs.

05Runs where you need it

Deploy on the edge, in your private network, or in your private cloud, so it fits your infrastructure and keeps sensitive data in your control.

Example defects caught

Real defects.

AI Validator is image-type agnostic. It works with almost any image type, from standard camera images to X-ray images, electron microscopes, and more.

Populated circuit board with a heat map highlighting a missing component
Electronics / PCBAMissing components and assembly faults localized on a populated board.
X-ray of an IC with a defect heat map over a depressed wirebond
IC wirebondDepressed wirebond pinpointed with a defect heat map.
Solder-ball array with one hairline short highlighted in red
BGA hairline shortA single hairline short flagged in a dense solder-ball array.
Why it's different

A different approach to inspection.

Traditional AI inspection demands huge labeled datasets and long setup. AI Validator learns from images of good product and catches defects it has never seen before.

Object-detection AI & legacy AOI
AI Validator
Training data
100s to 1000s of labeled defect images
50+ good images, plus a few defects
Flexibility
Rigid. Detects only trained classes
Adaptive. Detects unknown anomalies
Coding & setup
Coding and data prep. Weeks to months
No-code GUI setup. Hours to days
Operation
Cloud-dependent or vendor-locked
Runs fully offline, on your hardware
A patterned silicon wafer
In focus: Semiconductor

Next-generation defect detection in semiconductor.

Semiconductor production demands the highest levels of precision. Even a microscopic scratch, dust particle, or process variation can compromise device yield and reliability. AI Validator is built for this challenge, identifying surface anomalies in real time to ensure quality at every stage of wafer fabrication and packaging. It runs on your own hardware, so sensitive process images never leave the facility.

  • Boost yield. Catches particles, scratches, pattern deviations, and contamination early, before defective wafers move forward.
  • Lower cost of ownership. A more compact, flexible, and scalable platform that is cost effective from day one.
  • Process reliability. Surface irregularities are flagged before they impact device performance.
  • Scalable. Deployable across front-end fabrication and back-end packaging and test.
Read more on semiconductor →
Built to deploy

Deploy on the edge, in your private network, or in your private cloud.

AI Validator adapts to your security and infrastructure requirements. We know you want your data private, so AI Validator is designed to run on the edge or in private networks, with the option to deploy in your private cloud.

Edge

Run inference directly on the edge, using fixed cameras connected to station compute hardware, for real-time automated inspection on the line. Your data never has to leave the floor.

Private network & on-prem

Deploy inside your own secure network on physical or virtual machines, keeping data and access under your control and accessible from multiple inspection stations.

Private cloud

Deploy AI Validator in your own private cloud so it scales with your workloads while staying inside your infrastructure and security perimeter.

  1. 01Scales horizontally. Add nodes to the same deployment to grow inspection capacity across parallel lines and processes.
  2. 02Infrastructure-agnostic. Runs on-premises, in a private cloud, or hybrid, fitting your existing IT and security policies.
  3. 03API-first. Integrates with MES, automated test environments, and custom workflows on Windows, macOS, and Linux.
  4. 04Private by design. Operates fully offline. Inspection imagery never leaves your facility.
Industries

Electronics

Precision and quality in sensitive electronic components.

Automotive

Streamlined quality control and fewer defects in assembly.

Aerospace & defense

The highest levels of safety, correctness, and reliability.

Industrial

Optimized quality control across diverse processes.

Embrace the future of manufacturing.

Talk to us about a pilot on your production line, integration, or deployment.

Request a demo →