Energy infrastructure operates under constraints that make most AI architectures irrelevant. Air-gapped SCADA networks. IEC 61850 compliance. 99.999% uptime requirements. I built Auralink's autonomous EV charging network — real-time grid balancing, demand-response optimization, and autonomous fault resolution on physical infrastructure. The same architecture principles apply to smart grids, renewables, and distributed energy systems.
Five services for energy operators, utilities, and infrastructure companies deploying AI on critical systems.
Four weeks to a strategy document, a business case, an ROI model, and a 12-month execution plan — reconciled end to end and defensible to the board, the CFO, and your head of engineering
Eight weeks. A fine-tuned open-weight model — Llama 3, Mistral, or Qwen — that outperforms GPT-4 and Claude on your vertical while running on infrastructure you control
Sixteen weeks to AI running on the edge — inside a factory, a vehicle, a substation, or a sovereign infrastructure site — with the safety evidence, the SRE handoff, and the integration your operations team will accept
Twelve weeks to harden a working AI pilot into a system that will survive its commercial stage gate — whether that is an enterprise launch, a public sector go-live, an SME rollout, or a Series A
Eight weeks to engineer prompt-injection defense, PII redaction, audit logs, and a real threat model into your AI pipeline — before a red team finds them missing
Twelve to twenty-four weeks to risk-classify your AI systems, complete the conformity assessment, produce the Annex IV technical documentation, and stand up post-market monitoring — before an enforcement deadline finds you unprepared
A monthly retainer that runs your production AI like a production system — dashboards, alerts, eval regressions, on-call response, cost tracking, and the quarterly model-refresh call your team would otherwise skip
Part-time executive AI leadership — six to twelve months, two days a week — owning the AI P&L, governing risk, reporting to the board, and coaching the team you will eventually promote into the seat
Auralink: Autonomous EV charging network with real-time grid balancing, ~20 AI agents resolving 78% of incidents without human intervention. This is the same architecture pattern that applies to smart grids, distributed energy, and renewable optimization. Peer-reviewed on arXiv.