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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Davra
Davra

Davra

Founded 2011

Predict equipment failures and automate maintenance workflows across connected industrial assets

Pricing model

Paid

You can use Davra to monitor connected industrial equipment, detect anomalies, and predict machine failures before they cause downtime. It connects to machinery across factories, rail networks, and mining sites using any standard protocol. The system creates digital twins of your assets, processes sensor data, and deploys autonomous agents to trigger maintenance actions within predefined rules. You can also run anomaly detection models on-premise or in the cloud to track asset health, track operational status, and prevent costly breakdowns across your fleet.

What Davra does

Connect industrial sensors and devices via custom protocolsConfigure digital twins for physical equipmentSet automated trigger rules for autonomous maintenance workflowsMonitor asset health metrics in real timeRun anomaly detection models on machine telemetryExport operational logs for security auditsDeploys autonomous agents that trigger automated maintenance workflowsBuilds digital twin models of physical operations in minutesConnects to machinery across any device, vendor, or industrial protocolRuns on cloud servers, on-premise hardware, or air-gapped environmentsDetects operational anomalies using machine learning inferenceMaintains SOC 2 Type 2 and ISO 27001 security compliance

Pricing breakdown

Pricing model: Paid

PlanList price
Davra Starter Kit$250 / mo

Frequently asked

AWS Marketplace

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Davra, Industrial AI, predictive maintenance, condition-based monitoring, digital twins, asset tracking, agentic AI, anomaly detection, IoT, IIoT, machine learning, equipment monitoring, industrial automation, autonomous agents, AWS Marketplace, fleet monitoring