Bruviti AI

Founded 2018

Automate equipment service diagnostics, parts identification, and maintenance scheduling for industrial manufacturers

You can use Bruviti to manage equipment maintenance, parts tracking, and technical support across complex manufacturing setups. It parses technical blueprints to match mechanical parts in seconds and extracts specifications directly from engineering drawings. The system connects process logs, sensor data, and service records to detect operating anomalies and forecast equipment failures days in advance. Technicians can look up historical repair records, evaluate whether to repair or replace components, automate warranty claim evaluations, and schedule maintenance interventions without disrupting active production lines.

What Bruviti AI does

Match equipment parts from blueprint imagesDetect anomalies in telemetry and process dataExtract dimensions and tolerances from technical drawingsSchedule maintenance around machine availability constraintsDetermine repair versus replacement recommendationsAutomate warranty claims processingForecast service parts demand and replenishment needsIdentifies mechanical parts from CAD drawings and blueprints in under 30 secondsForecasts equipment drift and operating failures seven to fourteen days in advanceRuns models in air-gapped, on-premise, edge, or private cloud environmentsEvaluates repair versus replacement decisions based on cost, inventory, and policyConnects telemetry, sensor streams, and SCADA signals to pinpoint root causesStructures equipment hierarchies, bill of materials, and failure history into a knowledge graphAutomates warranty claim coding and checks policy entitlementsSchedules predictive maintenance around production risks, labor, and part availability