GridWonk builds AI review for utility interconnection applications: finding what each utility requires and catching deficiencies before they cost a review cycle.
At many interconnection authorities, most interconnection applications arrive deficient, and the labor of getting applications to acceptability is a heavy drag on how fast new generation and large loads connect to the grid.
The bottleneck isn't just volume; it's that every check spans the whole packet:
Manual review is slow, inconsistent, and expensive. Developers often submit incomplete applications simply because they don't know what's required, and utility review teams absorb the difference.
GridWonk keeps track of each utility's published interconnection procedures and the requirements drawn from them, then checks complete application packets (documents and native CAD drawings) against those requirements. Findings come back located on the page or drawing they refer to, with a citation to the procedure text behind them, and flow into reports, deficiency notices, and a fix-and-resubmit workflow.
Findings are advisory and built to be checked: every one cites its source, and a person always makes the call. The platform is technology-neutral: solar, wind, storage, gas, hydro, nuclear, coal, hybrid, and large-load projects all move through the same process.
GridWonk was founded by a team that has built and shipped at scale.

12 years at Google leading analytics and technology partnerships, with investment and advisory work across climate tech.

PhD in Physics from Stanford University, with a track record of turning conceptual ideas into shipped products across multiple industries.
The team's earlier recognition includes the Google for Startups AI Program.
Tell us whether you develop projects, review applications at a utility, or consult across both, and what you are working on.
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