Use casesPower and energy
Sovereign AI governance for power and energy.
Federis helps power, utilities and energy operators apply governed AI to sensitive operational workflows without losing control of data, model access or auditability.
Unsafe or unsupported recommendations are blocked before they reach operators.
Operational data stays inside approved infrastructure and regional boundaries.
AI-assisted recommendations can be reconstructed for incident review and audit.
Governed AI for high-impact grid operations
Energy utilities and power grids operate in environments where operational decisions directly affect public safety, grid stability and national security. AI assistants there must be rigorously constrained. Federis is the control plane that wraps operations-room LLMs in strict safety policies, preventing unauthorised commands, unsafe procedures and data exfiltration from sensitive operational networks.
Control room fault triage and incident resolution
During a substation alarm or feeder trip, dispatchers use AI to search diagnostic logs, schematics and operator manuals for troubleshooting steps. Federis applies safety guardrails designed to reject AI-generated procedures that cannot be grounded in approved technical manuals.
Safety guardrails
Pre-approved technical manuals are the exclusive grounding source, which blocks fallback to general web knowledge.
Procedure verification
Post-inference safety checks reject generated steps that do not map to standard utility safety codes.
Fail-closed design
The output is rejected and engineering is notified if a response suggests unsafe or high-risk grid changes.
Predictive maintenance and asset intelligence
Grid engineers combine turbine vibration logs, oil analysis history and maintenance records to predict asset failure. Federis keeps this critical infrastructure metadata inside the physical site boundary.
Local model execution
The inference fabric manages local GPU lanes and runs optimised small language models on premises.
Replaceable vector adapters
Integrates locally with MinIO and OpenSearch, with no public cloud vector API dependency.
Strict isolation
Grid telemetry database credentials stay inside the private network and are never exposed to external API calls.
Power grid compliance and safety auditing
Grid operators must document load-shedding and line-outage decisions for regulators. Federis records every dispatcher query and the AI's summarised analysis, so grid changes can be audited and defended.
Tamper-evident records
Logs are written to a secure, append-only vault with cryptographic chain-of-custody verification.
Attribution trace
Shows exactly which sensor logs and engineering manuals were retrieved to justify a grid operating action.
Sovereign compliance
Checks operational procedures against regional power distribution guidelines.
Deployment fit
- Built for environments where operational continuity and safety matter as much as model capability.
- Supports sovereign deployment patterns for private and restricted infrastructure.
Bring governed AI to power and energy.
Talk to us about your environment. We will walk through the control plane against your workloads, data boundaries and audit requirements.
- Zero data egress
- Any model, any cluster
- WORM audit vault