Our Platform - AI Validator

AI Visual Inspection & Defect Detection

Smarter inspection, less downtime.

AI Validator is a cutting-edge solution revolutionizing defect detection and process validation in manufacturing. Leveraging advanced cognitive AI and computer vision, it automates the identification of anomalies and defects in real-time, significantly enhancing quality control and streamlining operations.

AI Validator demo video
Core features

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.

Advanced Cognitive AI

Leverages Artificial Intelligence to detect defects with high accuracy.

Real-Time Operation

Identifies issues instantly during the inspection process, minimizing delays.

No-Code, Easy Training

Requires minimal setup. Image type agnostic and does not need training on every possible defect.

Self-Learning Engine

Continuously improves detection accuracy over time.

Process Integration

Seamlessly connects with existing test environments and production lines.

Cost-Effective & Scalable

Provides an easy to scale and cost effective solution to traditional inspection systems.

Key benefits

Quality control that pays for itself.

Accuracy & Speed

Delivers high-precision defect detection, reducing human error and improving quality. Accelerates inspection cycle times by up to 80%, boosting productivity.

Cost-Effectiveness & Versatility

A cost-effective, lightweight, adaptable solution suitable for various environments and use cases.

Self-Learning

Improves over time, adapting to changes in processes and patterns.

Seamless Integration & Cross-Platform

Integrates via API with enterprise applications. Deployable on Windows, Linux, or macOS.

Examples

Real defects.

From a missing screw on a PCB assembly to a hairline short on a BGA and a depressed wirebond, AI Validator flags the anomalies that manual inspection routinely misses.

AI Validator defect-detection examples: PCBA missing screw, hairline short on a BGA, and a depressed wirebond, each highlighted by the model.
Why AI Validator

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.

Current AI solutions
AI Validator
1000s of labeled defect images required
30 to 60 good images + a few defects
Rigid, detects only trained defects
Adaptive, detects unknown defects
Coding / data prep required
No coding, GUI based
Setup time: months
Setup time: hours
Deployment

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

AI Validator adapts to your security and infrastructure requirements. We understand you want your data private, so we designed AI Validator to be deployed on the edge, or in private networks, while also giving you the option to deploy it in your private cloud.

Edge

Run inference directly on the edge, using fixed cameras connected to station compute HW, for automated inspection in real-time 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.

See AI Validator on your line.

Book a demo and we'll show you how cognitive AI can cut inspection time and catch the defects that matter.

Request a demo