Real-time grid telemetry and SCADA integration
Bridging OT and AI workloads.
Intelligence engineered for connected, distributed energy infrastructure.
The grid is becoming more distributed, more variable, and more instrumented at the same time. The intelligence layer that runs on top of it has to match - handling real-time telemetry from millions of assets, integrating distributed energy resources, supporting operators making time-critical decisions, and doing all of it inside the reliability expectations utilities are held to.
Entiovi engineers smart grid AI systems that operate inside that environment, with the engineering discipline and observability the network deserves.
Entiovi designs and builds smart grid intelligence across transmission, distribution, and edge-of-grid environments. The work spans sensor and telemetry integration, real-time analytics and event processing, predictive maintenance for utility assets, distributed energy resource integration, and the operational decision systems that surface intelligence inside control rooms and field operations.
Systems are engineered to be observable, resilient, and operable by the engineers who depend on them. The grid is one of the more operationally serious environments AI is being asked to support, and the engineering treats it with that respect.
Bridging OT and AI workloads.
Across substations, feeders, transformers, lines, and edge devices.
Covering transformers, switchgear, lines, and rotating equipment.
With visibility and optimisation across distributed assets.
For outage, fault, and conditions-of-concern signal.
With control-room and field tools that surface intelligence inside existing workflows.
And anomaly detection.
Asset health intelligence at the critical points of the network.
For distribution operators integrating distributed and behind-the-meter assets.
From anticipation to restoration, surfaced inside the operational workflow.
Across transmission, distribution, and edge environments.
And capital deployment.
Improved grid reliability, faster fault and outage response, better integration of distributed and renewable resources, more informed capital planning, and a grid operating environment that scales as the network gets more distributed and more complex.
Engagement begins with a network and data discovery - assets, telemetry, current systems, and the operational decisions intelligence is meant to support. From there, Entiovi designs the integration and analytics architecture, develops models and event-processing logic, integrates with control-room and field systems, and operates the platform as the network and the regulatory environment evolve.
The grid is one of the most operationally serious environments AI is being asked to support. Entiovi engineers for that seriousness - and respects what it takes to keep the lights on.
Talk to Entiovi about putting this discipline into production - from design and engineering through ongoing operation, with delivery from India and regional presence in your market.