Deployed. Measured. Running in Production.
Four verticals. Verified operational results. Every deployment began with an existing asset base — no rip-and-replace, no greenfield assumptions.
37% avg MTBF extension across live deployments
Measured mean-time-between-failure improvement, reported from customer CMMS data after 12 months of runtime learning on existing sensor infrastructure.
Four verticals. Real operating conditions.
OEE lifted 19 points in 14 months
Unplanned downtime was consuming 11% of available production hours across three body-shop lines. Edge models trained on existing PLC telemetry identified failure signatures 4–6 hours ahead of stoppage.
Cost-per-tonne down 14% at continuous caster
Casting yield losses from undetected thermal drift were costing the site $2.1M annually. Runtime anomaly detection — asset-agnostic, layered onto existing SCADA — closed that gap within the first operating year.
Grid fault prediction rate reached 91%
Manual inspection cycles on distribution assets were missing early insulation degradation signals. Edge-deployed inference on existing metering infrastructure now flags 91% of faults before customer-impacting outage.
Maintenance dispatch reduced by 31%
A municipal water authority was dispatching crews reactively against a 1,400-km pipe network. Condition-based scheduling from edge sensor inference cut unnecessary dispatches while cutting response lag on genuine failures.
Zero rip-and-replace across all sites
ROI positive within 10 months avg.
Avg. 22% OEE improvement
Across discrete and process manufacturing deployments, measured against customer baseline OEE in the 12 months prior to deployment.
Every deployment integrated with the existing sensor and control architecture. No hardware swap-outs required at any of the four production environments.
Customer-reported payback period based on avoided downtime costs, reduced maintenance dispatch, and direct production yield gains — not projected savings.
Your vertical has a deployment brief waiting.
If you operate in manufacturing, utilities, or infrastructure and need to see operational data from a comparable site, request a vertical-specific brief from a deployment engineer.