Haltless: Predictive maintenance for industrial machinery

Hey Product Hunt! I'm the founder of Haltless. Most software in the manufacturing and industrial space is either decades old, bloated with complicated workflows, or only tells you about downtime after a line has already ground to a halt. I built Haltless to solve this at the root. Instead of reactive firefighting, Haltless connects directly to the operational technology layer via native industrial protocols like OPC UA and Modbus TCP. It streams high-frequency machine telemetry directly from PLCs, CNC controllers, and sensors to identify subtle vibration, electrical, and thermal degradation patterns long before equipment fails. A few core design decisions behind the platform: Native OT Ingestion: No messy retrofits or cloud dependency; it’s designed to operate safely within on-premises and edge-gateway architectures. Failure Mode Detection: Rather than noisy raw charts, it isolates specific failure signatures (like bearing wear, misalignment, and cavitation) and provides actionable Remaining Useful Life (RUL) estimates. Direct Integration: It pushes health scores and alerts straight into existing maintenance and CMMS workflows. I’d love to hear your thoughts, feedback, or any questions about deploying AI at the industrial edge! Thanks for checking out Haltless!