Exlens offers an AI‑native factory operating system that unifies production planning, inventory, quality management, and shipping on a single platform, integrating with existing MES, ERP, and PLM systems. Its SureLock AI Reasoning Engine automatically traces quality issues, identifies root causes, and delivers actionable insights within minutes, helping manufacturers reduce defects, increase throughput, and shorten time‑to‑insight.
Funding
Funding not disclosed


Founders
Product
Problem
Manufacturers often operate with fragmented software systems—MES, inventory, quality management, and ERP that do not share data—leading to blind spots, slow defect detection, and inefficient root‑cause analysis.
Solution
Exlens provides an integrated factory operating system that unifies production planning, inventory, quality management, and shipping on a single platform. Its AI Reasoning Engine, SureLock, connects to existing MES, PLM, and ERP systems to automatically trace quality issues, identify root causes, and surface actionable insights within minutes instead of weeks. The platform is AI‑native, using the same data model across all modules, so insights are generated directly from operational data without separate analytics layers. Exlens ties payment to measurable outcomes, ensuring manufacturers only pay when quality improvements, throughput gains, or reduced time‑to‑insight are realized.
Target Audience
Primary customers are mid‑size to large manufacturers of complex products such as automobiles, batteries, electronics, and medical devices that need integrated quality and production management.
Features
- Unified data architecture that consolidates MES, warehouse, inventory, controls, and QMS into one real‑time view
- AI Reasoning Engine (SureLock) that queries across all connected systems to diagnose quality problems and suggest corrective actions
- End‑to‑end factory operating system (exOS) covering raw material receipt, production, quality tracking, shipping, and reporting
- Seamless integration with existing ERP, PLM, and MES platforms via standard APIs
- Outcome‑based pricing model that links fees to demonstrated reductions in defects and improvements in throughput
- Dashboard and reporting tools that visualize key performance metrics and track improvement over time