AI for critical infrastructure
Oil and gas companies, power grids, and generation use AI Router where the cost of a mistake is critical-equipment downtime. Conservative prompts, human-in-the-loop, audit trail, and self-hosted models are the baseline.
Use cases in production
Four places in the energy cycle where LLMs speed up work without safety trade-offs.
Well-log and seismic analysis
Anomaly clustering, history comparison, interpretation draft for the geologist. Final call by the specialist.
Equipment diagnostics
Inspection reports, thermograms, incident logs. Early wear detection and repair prioritization.
Dispatcher operational assistant
Fast answers on regulations, emergency switching procedures, historical cases — with citations.
Inspection and audit summarization
Turn long inspection protocols into structured checklists and find-and-fix plans.
Reliability for critical infrastructure
What makes AI Router acceptable for the energy sector.
Self-hosted models in-contour
20 open-weight models on our GPU infrastructure. For especially sensitive data — deployment on customer premises.
Human-in-the-loop required
AI generates a draft, the engineer approves. Every decision carries a human signature and an audit entry.
SLA with credits
Contractual 99.9% SLA with monetary credits. Named incident commander, 15-minute P1 response.
Industrial-safety audit log
Every generation has an ID, model, and prompt version. Full reproducibility for industrial-safety and HSE review.
Single-asset pilot
Start with one platform or one equipment type. We prepare artifacts for reliability and HSE reviews.