BUILT FOR PRODUCTION, NOT PILOTS
Designed for manufacturers looking to improve quality without replacing existing infrastructure.
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Success Manager

At Automate 2026, see Loopr's Vision AI catch defects live on a working production line, then watch our Agentic AI trace the root cause back through manufacturing systems in seconds. Built for long-cycle, high-mix discrete manufacturing.

Booth #17048 | North Building |
McCormick Place, Chicago, IL
June 22nd - 25th, 2026









One platform to digitize inspections, automate defect detection with Vision AI, and deploy agentic AI for root-cause analysis.
Vision AI for Quality Inspection
Watch defects get detected in real time on a live production line. Models trained on synthetic and limited data, built for high-mix production environments.
Automate Defect Detection
See an AI agent connect to MES and ERP systems, cross-check BOMs, and identify likely defect drivers in seconds.
Agentic Root Cause Analysis
Understand how manufacturers progress from paper checklists to autonomous quality operations, one stage at a time.
Book a 20-minute session at Booth #17048 and see Vision AI detect defects in real time while Agentic AI traces root causes across your manufacturing systems.
A structured path from manual inspection to enterprise quality intelligence.
Paper-based inspections, spreadsheets, inconsistent criteria, limited traceability.
Quality processes rely on paper checklists, individual judgment, and tribal knowledge. Data is fragmented and difficult to aggregate for analysis.
Digital capture of inspection results in improved traceability but limited insight
Inspections are performed using digital workflows, creating structured data with full traceability. However, analysis remains manual and reactive.
Automated defect detection improves speed and consistency, but insights remain localized.
Vision AI accelerates inspection and reduces variability. However, insights are often limited to individual stations or processes rather than enterprise-wide.
Enterprise-wide learning, predictive insights, and proactive quality management.
AI agents continuously analyze data across plants, lines, and suppliers to identify patterns, predict risks, and guide proactive improvement.
Designed for manufacturers looking to improve quality without replacing existing infrastructure.
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Explore how Loopr fits into your manufacturing environment or validate impact on a critical inspection in four weeks.