AI-native, physics-informed digital twins that collapse grid interconnection timelines from years to weeks — enabling the next generation of AI data centers and industrial power.
The American grid is choking on a massive interconnection queue. Legacy utilities running 1990s Root Mean Square (RMS) models cannot safely validate the power electronics and high-speed transients of modern energy projects.
Interconnection studies drag on for years. AI data centers, manufacturing plants, and clean energy projects sit idle — unable to connect to a grid that lacks the software intelligence to validate them at the speed the market demands.
AI Physics-Informed Real-Time Digital Twins. Laboratory-grade grid virtualization using 50-microsecond Electromagnetic Transient (EMT) simulation — the missing software intelligence layer on the grid.
Largest share of Wyoming grid capacity · cached
Our AI-accelerated EMT simulation collapses the validation timeline for grid interconnection. What was a years-long engineering slog becomes a repeatable, deterministic software process.
Three converging markets face the same critical bottleneck: grid interconnection. We solve it once — for all of them.
Gigawatt-scale compute facilities are the most acute sufferers of the interconnection backlog. Every month of delay is hundreds of millions in deferred revenue. Our platform is their fastest path to power.
More than $30 billion in monetization opportunity. Cooperatives are modernizing faster than legacy utilities and actively seek tools to handle the new generation of grid-connected assets.
Manufacturing reshoring demands new industrial loads that utilities can't validate. We're already a primary partner on a $30.2M transmission upgrade achieving a 3.7× benefit-cost ratio.
Not a simulation tool — a complete interconnection validation platform. The missing software intelligence layer on the grid.
50-microsecond Electromagnetic Transient resolution — capturing the physics that legacy RMS models miss entirely. Full-fidelity grid virtualization at laboratory grade, in real time.
Machine learning layers trained on grid physics dramatically accelerate scenario analysis. Deterministic, repeatable validation — compressing what took years of engineering into weeks of software.
End-to-end interconnection planning from feasibility through regulatory approval. Our shared-gain pricing model aligns our success with yours — we win when your megawatts connect.
— Peter Thiel, Zero to One"So who do you tell? Whoever you need to, and no more."
Grid interconnection and operations carry heavy regulatory and documentation burden. 3FLUX uses AI throughout the platform to automate evidence gathering, reduce manual review, and keep projects audit-ready from feasibility through operations.
AI-assisted workflows across planning, studies, and approval packages — surfacing requirements early, tracking deliverables, and compressing the documentation cycle that traditionally stalls interconnection.
Continuous compliance during live operations: automated monitoring, reporting, and change management so teams spend less time on paperwork and more time on delivery.
Machine learning layers map regulatory context to project data, flag gaps before they become blockers, and generate structured outputs engineers and regulators can trust — less rework, fewer surprises.
Founders who combine grid policy and industrial deployment with physics-informed, AI-native software — purpose-built to collapse interconnection timelines for AI data centers and high-load projects.
Former Director of Industrial Development at the Wyoming Energy Authority; 30+ years navigating energy policy and industrial scale-up. Brings regulatory and deployment expertise to unblock grid interconnection for AI data centers and high-load industry.
LinkedIn profileBridges electrical engineering and AI-native software: postgraduate degrees in both fields, former Google Gemini Test Engineer at Applause, and decades building zero-to-one products. Leads physics-informed digital twin architecture that turns grid physics into scalable AI systems.
LinkedIn profile