Moneyball for EV charging infrastructure.
Billions are being deployed into charging infrastructure — too often on instinct, incentives, and guesswork. OptiYield replaces gut feel with evidence, so operators, hosts, and investors put capital where it actually pays off.
Noreen StitelmanFounder / CEOI started OptiYield because one problem kept standing out across the industry: the EV charging build-out is one of the largest infrastructure investments of our era, yet siting decisions are still made with surprisingly little rigor. A promising-looking corner gets a charger; a year later it sits underused while demand piles up two exits away.
Stranded chargers aren't just a bad outcome for one operator — they slow the entire transition. Every underperforming site makes the next investment harder to justify. I believed the same quantitative discipline that reshaped finance and pricing could bring that clarity to where and why to build.
OptiYield is that discipline, packaged into a single, defensible score.
Find the undervalued markets before everyone else does.
Baseball teams once relied on scouts' intuition. Then they started letting the data find the undervalued players everyone else overlooked. OptiYield does the same for charging sites — surfacing the markets where demand potential outruns competition, and flagging the crowded ones before you commit.
Avoid the money-losing sites. A low score is as valuable as a high one — it tells you where not to sink capital before the concrete is poured.
Move first on the underserved markets where demand potential is high and competition is thin — the sites most likely to earn their return.
Back every decision with an auditable, public-data-driven rationale — the kind of evidence lenders, partners, and boards expect.
We're looking for partners to build this with.
OptiYield is early, and that's the opportunity. We're working with a small group of operators, site hosts, and investors to pressure-test the model against real decisions and refine it around how the industry actually works. If that's you, let's talk.