AI, ML, and advanced analytics for utility teams. Built alongside your engineers, grounded in real data, architected so your team owns it after we leave.
Three product areas, all grounded in the same methodology: your data, your engineers, your ownership after the engagement ends.
Grid modernization strategy, implementation oversight, and regulatory support — backed by Monte Carlo analytics that hold up under cross-examination. Provenance-tracked data across a variety of sources. No magic numbers; every assumption is auditable.
SAIDI/SAIFI-derived budgets, burn-rate alerting, Weibull regime detection, CEMI equity overlay. The SRE methodology, adapted for distribution.
Outage prediction, load forecasting, hosting capacity, predictive maintenance. Trained on your data, documented so the team maintains it long after the engagement.
One must imagine Sisyphus happy. — Albert Camus, our operating principle
Transformation projects die at Year 3. Small, durable wins compound. We ship something your team uses in week six, then again in week twelve.
The grid isn't a spreadsheet. Ranges, distributions, and regime changes are what your decisions actually depend on. Not single numbers.
Every model is documented, every notebook is yours. The day we leave, your team owns the thing. No API keys held hostage, no "support retainer" trap.
15+ years across generation and distribution means we start from what the engineer actually sees. Not what a product demo promises in a deck.
30 minutes. Share what you're trying to move. I'll tell you whether I'm the right person for it, and if not, who I'd call instead.