We are a team of energy developers, social scientists and AI engineers focused on improving how teams assess permitting risk before they commit capital.

Around the world, critical energy and infrastructure projects are delayed or abandoned each year after significant capital, time and community effort have already been invested. We analyzed hundreds of infrastructure projects through our research at Harvard University and Stanford University and repeatedly saw that delays and cancellations were rarely caused by engineering constraints alone. They were driven by jurisdiction-specific permitting risk and political dynamics that were not properly understood at the outset.

Clara, our AI permitting consultant, was created to address this gap. While developers rigorously model technical, environmental and financial risks, permitting risk is often assessed through fragmented desk research or informal local knowledge. This makes early-stage decision-making slower, more uncertain and more expensive.

Clara reads and analyses local government records, prior project outcomes, regulatory pathways and jurisdictional signals to help teams understand approval likelihood and the most viable permitting routes. Development teams can screen sites earlier and adjust project strategy before entering a costly approval process.

We believe that when permitting risk is understood upfront, capital is allocated more efficiently, projects face fewer delays and infrastructure that society needs can be delivered with greater certainty and accountability.