Your network is already generating the data. The challenge is knowing what it means and acting on it before costs escalate.
Energy and utility providers face real operational pressure: water loss, ageing assets, tightening regulation, and infrastructure complexity that keeps growing. Davra connects your physical infrastructure to the intelligence needed to manage it: predictive, auditable, and built for regulated environments.
From smart meters to grid substations, wind turbines to water treatment plants, Davra gives you a single platform to connect your operational assets and do something meaningful with the data they generate. Explore our use cases below.
Water loss is one of the most persistent operational challenges a utility faces. Traditional metering tells you how much water was consumed. Smart metering, properly connected and analysed, tells you where it went.
Davra ingests high-resolution reads from any meter hardware, across any wireless protocol: NB-IoT, LoRaWAN, MQTT, and more. Anomaly detection surfaces probable leaks and unusual consumption patterns, ranked by severity and ready for your operations team to act on. No more waiting for a pipe to fail before you know something is wrong.
Read the TLS case study
A digital twin that is not continuously updated is just a diagram. Davra's asset-centric platform synchronises in real time with your SCADA, IoT, and protection systems, giving operators a live picture of substation, feeder, and transformer health at any moment.
Use it for real-time monitoring, operational simulations, and long-term capital planning. The same platform that tracks today's load data can inform tomorrow's investment decisions.
Explore the Davra Platform
Unplanned downtime in energy is expensive: in cost, in reputation, and in the complexity of restoring service. Davra monitors asset health continuously across wind turbine blades, filters, grid transformers, and distribution equipment, combining IoT telemetry with AI to identify degradation before it becomes a failure.
Your team receives a clear recommendation, with the evidence already assembled — not an alarm that takes two hours to investigate.
What is Predictive Maintenance?
Detection is only the first step. The real cost is in what comes after: correlating the alert, gathering context, deciding whether to dispatch, and building the work order. Davra's agentic AI layer compresses that process from hours to minutes.
Specialised AI agents gather weather data, satellite imagery, asset metadata, and routing information automatically. Your operations team receives a ranked queue with a pre-populated work order ready for approval. Human sign-off at every step. Full audit trail throughout.
Explore Industrial AI
TLS is a Swedish leader in smart metering for water and district heating. They needed a platform flexible enough to integrate with any device, protocol, or wireless technology: NB-IoT, LoRaWAN, LwM2M, MQTT. After trialling five platforms, they chose Davra. Within one week, they had a working prototype. Two months later, they had their first paying customer.

Davra is critical to us achieving our business goals. We have market-leading hardware, and now we have market-leading software as well.

Most detection tools stop at the alert. Your operations team still has to investigate, contextualise, and build the work order from scratch. That is where time and resource get lost.
Davra's agentic AI layer, Glora, orchestrates specialised agents that do the investigative work automatically. Weather context, satellite imagery, asset metadata, routing data: all gathered, scored, and assembled into a ranked alert pack with a pre-populated work order ready for human approval.
Every decision is transparent. Every step is auditable. Your team stays in control.
Learn more about Industrial AI