1. Powering AI without wasting power — Data-center siting, cooling, flexible demand, heat reuse, storage and local generation that improve cost, reliability or speed. 2. Getting more from the grid we already have — Better interconnection planning, capacity forecasts, grid operations, flexibility and distributed energy. 3. Factories that make more and waste less — Reduce downtime, defects, scrap, energy use and dependence on tribal knowledge, including systems that work with legacy equipment. 4. Buildings that stop wasting energy — AI for HVAC, refrigeration, maintenance and load flexibility across existing building portfolios. 5. Water systems that catch problems early — Find leaks, predict failures, improve treatment, detect contamination and help operators prioritize repairs. 6. Farming with fewer inputs — Use sensors, imaging, robotics and farm data to reduce water, fertilizer and pesticide use with strong first-season economics. 7. Keeping food from becoming waste — Better demand planning, shelf-life decisions, inventory, routing, redistribution and secondary markets. 8. Methane detection that ends with a repair — Locate and quantify leaks, assign work, guide crews and verify the fix. 9. Circular supply chains at commercial scale — Material identification, sorting, byproduct markets, reverse logistics and recycled-material quality that work economically. 10. Climate risk that changes a decision — Flood, wildfire, heat and water risk tied to a specific asset decision: repair, invest, site, price or act.

TALE REQUEST FOR STARTUPS · FALL 2026