Autonomous agents that monitor grid telemetry and recommend load-balancing actions in real time.
A supervised agent system that ingests grid telemetry, detects anomalies, and proposes operator-approved actions — improving stability while keeping humans in control.
We embedded a cross-functional squad alongside Helios Energy's team, moving from discovery to a validated architecture in weeks. Delivery happened in short, test-covered iterations — every sprint produced working software the client could review, so direction stayed tight and risk stayed low.
Next case study
Autonomous Freight Optimization
Tell us what you're working toward. We'll bring the engineering, design, and AI expertise to get you there faster.