PANDO DATA
PANDO DATA provides AI-powered visual inspection systems for heavy industry manufacturing lines, using plug-and-play cameras to detect raw material defects, surface flaws, furnace hotspots, and missed SOPs in real time. The platform helps manufacturers reduce rework, boost line throughput by 10–15%, and automate traceability reporting without adding headcount.
- Manufacturing / Industry 4.0
- Artificial Intelligence
- Industrial Automation
- Hardware
- Internet of Things
Funding
Founders
Founder details are not available yet.
Product
Problem
Manufacturing lines in heavy industries like steel, cement, and mining rely on manual inspection and subjective human judgment to catch quality issues, leading to delayed defect detection, costly rework, and production downtime. Most lines operate at under 70% of their real potential, and critical knowledge is often locked in a few experts' heads, creating blind spots in quality control and process compliance.
Solution
PANDO DATA deploys AI-powered cameras at critical stations across the manufacturing line—from raw material intake to finished goods—to monitor operations in real time. The visual AI system flags poor raw materials, surface defects, dimensional issues, furnace hotspots, and missed standard operating procedures the moment they occur. By catching problems in seconds rather than minutes, the platform prevents quality drift, reduces downtime, and eliminates reliance on manual inspection. The system also automates reporting and traceability documentation, enabling manufacturers to pass audits and meet export demands without manual logbooks.
Target Audience
Primary customers are manufacturers in heavy industries such as steel, cement, and mining, as well as other manufacturers of interest who need real-time quality monitoring and process compliance on their production lines.
Features
- Plug-and-play AI cameras designed for harsh industrial environments, deployable at any critical station from raw input to finished goods
- Real-time detection of raw material defects, surface flaws, dimensional issues, furnace hotspots, and wrong materials at intake
- Automated monitoring of worker compliance with standard operating procedures, creating auditable processes with no blind spots
- Live tracking and analysis of line stoppages to identify and fix recurring slowdowns before they escalate
- Automated traceability reporting that replaces manual logbooks and supports export compliance audits
- Real-time production visibility dashboards that let managers monitor lines remotely without being physically present