Improve quality inspection, reduce downtime, and keep factory data on-prem.
Manufacturing
Detect defects and anomalies in real time on local GPUs.
Monitor equipment health and prevent downtime.
No external calls, full data residency.
Manufacturing
Six deployment-ready workflows built for Manufacturing teams.
AI-powered quality control using computer vision to detect defects in real-time.
Monitor equipment health and predict maintenance needs using sensor data.
Automate stock level monitoring and optimize supply chain operations.
AI vision agents that continuously monitor production lines to detect quality issues.
LLM-powered assistant that helps operators optimize manufacturing processes.
AI audio monitoring system that detects equipment malfunctions through sound.
Outcomes
Example impact
Reduce scrap rates and improve throughput.
Deployment
Identify inspection and maintenance use cases.
Install Atlas close to production systems.
Roll out across plants with consistent policies.
Assurance
Align on production KPIs, security, and rollout.