Trace verifies, standardises, and serves high-integrity energy data for automation, AI, and real-time operations.
Energy data is spread across disconnected assets, vendors, and market systems. Without a single, trustworthy data foundation, operational models cannot rely on inputs, automation breaks down, and real-time decisions remain risky.
Siloed systems prevent unified visibility and coordinated control across energy operations.
Unverified and inconsistent data undermine confidence in operational systems and decision logic.
Automation fails when data must be reconciled manually or trusted blindly before execution.
A unified platform that supports automation and AI through built-in tooling and domain specific models that turn trusted data into operational action.
Stream real-time data from meters, devices, and APIs across heterogeneous distributed energy systems.
Continuously verify data quality and integrity through automated checks and anomaly detection.
Expose clean, trusted data via APIs for operational workflows, analytics, and AI models.
Enforce lineage, auditability, and compliance across every data flow by default.
Built to support enterprise scale energy operations, where data quality, latency, and auditability are non-negotiable.
Retail energy suppliers operating in dynamic markets with growing portfolios of distributed assets and flexible demand.
Manufacturers and hardware providers installing and managing a geographically distributed portfolio of connected assets operating in the field.
Virtual power plant operators coordinating distributed assets across markets, networks, and customer sites.
Connect with our team to learn how Trace can power your energy infrastructure
