Our Platform

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

AI based visual inspection and defect detection.

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 machine 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 over time without manual reprogramming.

Process Integration

Seamlessly connects with existing test environments and production lines.

Cost-Effective & Scalable

Provides a high-ROI alternative 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.

Continuous Self-Learning

Evolves over time — adapting to new products and defect patterns without manual programming.

Seamless Integration & Cross-Platform

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

Examples

Real defects, caught in the act.

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 a handful of images and adapts to defects it has never seen.

Current AI solutions
AI Validator
1000s of labeled defect images required
20–50 good images + a few defects
Rigid — detects only trained defects
Adaptive — detects unknown defects
Coding / data prep required
No coding — GUI based
Setup time: weeks to months
Setup time: hours

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