Stay ahead of failures, not behind them
Anticipate problems before they cascade, optimize performance in real time, and keep operations running smoothly with predictive anomaly detection.
The Challenge
Modern operations generate endless telemetry, but teams still catch problems too late and rely on blunt fixes.
- Overwhelming data streams hide early warning signs
- Failures lead to costly downtime and safety risks
- Control systems aren't continuously optimized
Our Solution
webAI brings predictive intelligence to the edge, spotting problems before they cascade.
- Local anomaly detection at plant or fleet scale
- Predictive maintenance with targeted recommendations
- Continuous control optimization with human-in-the-loop
Core Capabilities
Proactive fault detection
Surface subtle anomalies long before they become system-wide failures.
Predictive maintenance
Replace reactive fixes with tailored recommendations that reduce downtime and costs.
Optimized control loops
Keep operations continuously tuned for safety, efficiency, and performance.
Human-AI collaboration
Embed recommendations directly into workflows, giving teams confidence and oversight.
Why It Matters: Unplanned downtime and inefficient operations don't just cost money—they erode customer trust and weaken resilience. Predictive anomaly detection helps enterprises run safer, leaner, and more reliably, while protecting sensitive data with edge-first deployment.
Use Cases
Manufacturing
Spot early signs of equipment wear before production halts.
Aerospace & defense
Detect anomalies in fleets to prevent mission disruption.
Energy & utilities
Anticipate grid irregularities to improve stability and reduce outages.
The webAI Difference
Deep time-series + control expertise
Purpose-built for high-stakes, data-intensive environments.
Low-latency deployments
Operates at plant, fleet, or network scale—without relying on the cloud.
Efficiency-first economics
Ready-to-use integrations and optimized compute ensure scalability without runaway costs.