Quality Intelligence, Engineered by Converge

Combining engineering expertise, proprietary technologies, and AI-assisted inspection to strengthen quality, validation, and traceability across the supply chain

Advancing Quality Inspection

Electronic component quality risks can be difficult to identify. By combining engineering expertise, advanced quality processes, and proprietary technologies, including AI-assisted capabilities, Converge helps uncover potential concerns and strengthen inspection, validation, and traceability across complex supply chains.

CONVERGEIQ

DIGITAL CAPTURE & TRACEABILITY

Digital image capture and inspection data management across complex supply chains.

Provides a digital foundation for inspection data capture and traceability.

AGILA™

AI-ASSISTED INSPECTION

Augments engineering expertise with AI-assisted analysis, helping surface potential anomalies and supporting more consistent inspection across complex supply chains.

AI-assisted identification of hard-to-spot anomalies.

FALCON

AUTOMATED TECHNOLOGY VALIDATION

Proprietary validation platform designed to automate testing and generate objective validation data for technology commodities.

Supports scalable, repeatable validation of technology.

AGILA™

AI-Assisted Inspection Platform

AGILA applies AI-assisted analysis to inspection imagery to surface potential anomalies, patterns, and authenticity concerns for engineer review. It complements established inspection methods and engineering expertise rather than replacing them.

Supports earlier identification of potential risks

Helps surface anomalies, authenticity concerns and inspection risks for engineer review.

AI-assisted identification of hard-to-spot anomalies

Surfaces subtle visual patterns and anomalies that may be difficult to identify through traditional inspection methods alone.

Supports consistent engineering review

Combines AI-assisted analysis with engineering expertise to support consistent inspection and review.

SEE AGILA™ IN ACTION

See how AGILA combines inspection imagery, AI-assisted analysis, and engineering review.

1. Capture: Inspection imagery from the quality lab.

2. Analyze: AI-assisted analysis of inspection imagery.

3. Flag: Potential anomalies are surfaced for engineer review and assessment.

4. Engineer Review: The quality engineer is responsible for the final verification.

Research, Development, and Engineering Team

Converge’s internal Research, Development, and Engineering team has brought our proprietary technologies to life. Their expertise and innovation ensure our quality capabilities keep evolving. Our technology platforms are designed to expand over time as new inspection, validation, and AI-assisted capabilities are developed.