Every minute of poor grid visibility brings you closer to an outage. Relevant develops custom smart grid software for real-time monitoring, faster fault response, and reliable control across your network.
Telemetry, system state, and control commands scattered across regional tools slow operator response when seconds matter. We build platforms that bring real-time telemetry, system state, and control across your entire network into one operational view.
We develop ADMS and DMS software that helps operators manage power flow, voltage, and switching across the distribution network.
Every minute between fault and dispatch widens the blast radius of an outage. Our engineers build OMS software that detects, locates, and coordinates responses to outages before they spread.
Solar, storage, EVs, and demand-side assets each behave differently, and the grid needs them to be coordinated as a single resource. We engineer software that integrates and orchestrates distributed energy across solar, storage, EVs, and demand-side assets.
Balancing load in real time means coordinating demand response programs, flexible assets, and pricing signals simultaneously. Relevant builds software that runs all three from one control layer.
Grid and meter data only become useful when they translate into forecasts, alerts, and capacity decisions. Our team develops analytics software that turns grid and meter data into load forecasts, anomaly detection, and planning insight.
We start by learning your network, your connected assets, your control systems, and the data already moving through them. You come away with a defined scope and a feature set ranked by where software earns its keep first.
You get a technical architecture and phased roadmap built around live ingestion from your SCADA and field systems, the data model behind monitoring and control logic, and a cloud foundation engineered for reliability.
The monitoring, control, or DER logic your operations will lean on, run against your real grid data. Proving it early means the rest of the build rests on logic you’ve watched perform under real conditions.
The platform arrives in working increments, a new capability roughly every two weeks, each one tested, monitored, and documented before it’s handed over.
We run the software against live grid data first, checking its outputs against reality, exposing the edge cases, and confirming it behaves under real load.
After launch, the people who built it stay close to the live system, catching edge cases, tuning performance, and evolving the software as more distributed energy joins your grid.
See how industrial leaders use our experience in energy software development to improve operations.
Book a 30-minute discovery call to talk through your grid and systems. You’ll get a clear plan covering scope, timeline, and team
A decade of developing software for energy companies, with deep work across the real-time operational, SCADA, and asset data that grid platforms run on.
Our engineering depth spans real-time data pipelines, cloud platforms, and the monitoring, control, and DER logic at the core of modern grid software. Backed by 246 delivered projects and a 98% retention rate.
Role-based access, audit logs, encrypted communication, and high availability are built into the architecture from the outset and aligned with ISO 27001 and GDPR.
We add real-time control, analytics, and DER integration on top of the systems your grid already depends on, so you modernize in controlled steps.
Development runs in 2-week sprints with clear checkpoints, transparent backlogs, and working software you can see every sprint. Your scope can shift as priorities change without losing control of the budget
The engineers who architect your software stay through delivery and ongoing support.
That’s the starting point for most grid modernization projects, and Relevant builds the discovery phase around resolving it. The first two to three weeks are a structured engagement during which we work with your operations team to determine what software should actually do for you.
Practically, that means a few things:
From there, features get ranked by where the software returns the most value first.
You come out of discovery with a written scope, a prioritized feature list, a technical architecture sketch, a phased delivery roadmap, and a budget estimate.
We sit above your SCADA and substation layer. The control hierarchy stays where it is: RTUs and IEDs handle field-level protection and acquisition, SCADA handles real-time supervisory control, and our software builds the monitoring, analytics, DER orchestration, and operational workflows on top.
Yes, and for grid software specifically, this is usually the right way to start. Real-time operational software carries high stakes, and proving the approach on a contained scope before expanding it is how mature operations teams reduce program risk.
A typical first phase covers one workflow, one operating area, or one asset class. The architecture is designed for expansion from the start; the data model, cloud foundation, and integration patterns are built to scale, so phase two doesn’t mean re-architecting phase one.
The new platform ingests live data alongside what you already run and operates initially as a read-only operational view. Operators see both pictures, can compare outputs against the existing systems they trust, and surface discrepancies before any control decision flows through the new stack.
From there, the scope expands in defined stages: a pilot feeder or substation first, then a region, then the full network, with failback to the legacy system available at every step. Your operations leadership approves cutover decisions for any operational responsibility, switching, DER dispatch, and outage handling. The goal is that the cutover moment is the smallest part of the project, because everything before it has already proven the system in production conditions.
The engineers who built your platform stay on it. Day-to-day work covers live performance monitoring, incident response, edge-case resolution, infrastructure patching, and routine model retraining to keep load forecasting and anomaly detection accurate as conditions shift.
New work covers integrating new substations, feeders, and DER assets as your network grows, updating the platform when grid codes or compliance requirements change, and adapting workflows as your operations evolve. Quarterly reviews cover platform health, operational performance, and any architectural decisions worth revisiting as your grid changes shape.
AI
AI
IoT
Keeping power flowing across the distribution network gets harder as more is connected to it every year. You get software that brings monitoring, power flow, and outage response into a single operational view, so your team can see issues forming and act before they spread across the network.
Smaller utilities carry the same reliability mandate as the big players, usually with leaner teams and tighter budgets. We build software that gives you real-time visibility and control without enterprise overhead.
Orchestrating distributed solar, storage, and demand-side assets takes software built for real-time coordination. Relevant develops platforms that aggregate distributed capacity, dispatch it intelligently, and turn it into grid services and market value you can actually monetize.
You get unified software that brings the whole network into a single real-time picture, so your team can compare performance, coordinate responses, and run operations from a single source of truth.
We build software that layers real-time control, analytics, and DER integration on top of the infrastructure you already run, so you move forward in steps instead of betting operations on a single cutover.