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Buildings consume 40% of global energy and produce one-third of greenhouse gas emissions. Yet we retrofit less than 1% of building stock annually. At that rate, decarbonizing the built environment would take over a century. The climate does not have a century. The Compliance Crisis Is Already Here NYC Local Law 97 now imposes carbon intensity limits on over 50,000 buildings, with penalties of $268 per ton of CO2 over the limit. ASHRAE 90.1 efficiency standards grow stricter e

Directional Uncertainty Gradient Exploration (DUGE) is 72Energy's novel optimization algorithm — and after extensive prior art searches, nothing like it exists in published literature or patent databases. What Makes DUGE Different Traditional building energy optimization faces a fundamental challenge: the solution landscape is riddled with local minima. Bayesian Optimization gets trapped. Reinforcement Learning requires millions of episodes. Simulated Annealing converges slow

In an industry flooded with AI claims and benchmark theater, 72Energy takes a different path: every performance claim we make is backed by automated tests that run daily against our codebase. The Problem with Unvalidated Claims Most energy AI companies claim impressive numbers — 90% accuracy, 10x speed, revolutionary performance — but few can point to a continuously-running test suite that validates these claims against physics-based simulations every single day. We can. What