Skip to main content

IoT Device & Data Integration Platform

Edge connectivity, device lifecycle, and telemetry pipelines from fleet to cloud—with security and ops baked in.

Core capabilities

  • Device provisioning, certificates, and fleet management
  • Telemetry ingestion, rules, and streaming analytics
  • Edge computing profiles for filtering and offline resilience
  • Connectivity management across MQTT, AMQP, and HTTP

Integration readiness

Representative hooks—exact adapters depend on your vendors and regions.

  • MQTT / AMQP brokers
  • Time-series and hot/warm storage
  • GIS and business systems
  • IT/OT identity and segmentation

Scalability & integration patterns

Tenant-aware ingestion with back-pressure, horizontal shard of hot paths, and regional fan-out for data-sovereignty. Device shadows and twin models stay consistent through versioned schemas so downstream analytics do not break on firmware changes.

Operational deployment

Golden images, staged rollouts, and canary fleets for firmware. NOC dashboards tie alert severity to runbooks; edge sites degrade gracefully with store-and-forward queues until uplinks recover.

Technical architecture overview

Gateways normalize protocols; a streaming tier fans out to rules engines, data lake landing zones, and digital twins. OT segmentation maps to Zero Trust paths—no flat networks— with jump hosts only where auditors require them.

Architecture illustrations

Placeholders for workshop outputs—layer diagrams, sequence charts, and NFR views tailored to your estate.

Reference: device → gateway → cloud ingestion → analytics / twin
Placeholder: edge preprocessing and offline sync

Platform demo & next steps

Walk through reference deployments, integration cutouts, and operating models with our platform leads.