Nagare™

Intelligent Process Optimization

Nagare tracks both components and workers' actions, where others just watch movements. Verifying processes in real-time, it ensures correct assembly, prevents errors, and drives precision on the shop floor.

HOW IT WORKS

Low-Capex, Plug-and-Play Deployment

Nagare works with existing cameras and requires no additional hardware. Easily adapts to new product lines and processes without downtime, delivering ROI in 12 months.

SEE
Connects with your
CCTVs to monitor
objects and actions
across the shop floor
VERIFY
AI analyzes steps against digital SOPs to catch deviations, misalignments
and missing parts in real-
time, while tracking cycle times to optimize processes.
GUIDE
Operators receive real-time visual instructions and
andon-like alerts to halt actions, preventing errors before they happen.
IMPROVE
Comprehensive analytics,
non-conformance videos,
and detailed performance reports, for data-driven
kaizen initiatives.
WHY NAGARE STANDS APART?

Outperforming Traditional AI and Motion Capture systems

NAGARE
Component & Action Verification
Proactive Defect Prevention
End-to-End Optimization
Low CapEx, Fast ROI
Cycle-Level Video Traceability
AI Buddy Mode for Reduced Supervision
Edge AI with Built-in-Privacy
Scalability
NAGARE
Tracks both components and actions for accurate assembly and process adherence.
Stops errors in real time, reducing rework and improving productivity.
Bridges manufacturing, warehousing and logistics for full process synergy.
Uses existing cameras and delivers ROI in 12 months.
Provides detailed video recordings for audits and root-cause analysis.
Guides operators in real time, and tracks skill levels - freeing supervisors.
Processes data on-prem, ensuring security and avoiding cloud risks.
Adapts quickly to new processes, with minimal downtime.
TRADITIONAL
Monitors only operator movements, missing incorrect parts and misalignments.
Doesn’t enforce instant corrections, causing delays and higher defect costs.
Focuses only on the factory floor, overlooking logistics.
Requires new hardware, driving up costs and deployment time.
Lacks deep traceability, limiting Kaizen initiatives.
Assists operators but doesn’t lower supervision demands.
Relies on cloud, raising privacy concerns and potential latency.
Struggles to adjust, limiting flexibility.

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