Better data for better climate policy and program decisions.

Government programs deploy billions annually into climate technology through grants, loan guarantees, and tax incentives — but program managers often lack standardized economic data to evaluate whether funded technologies are on a credible path to commercial viability.

TEA Commons provides portfolio-level analytics that enable program managers to benchmark cost trajectories across funded technologies, identify which investments are making real progress on unit economics, and compare performance across regions and sectors.

At a policy level, aggregated TEA data supports evidence-based program evaluation: which technology classes are approaching cost-competitiveness, where public investment is having the greatest leverage effect, and how to allocate limited capital for maximum impact.

Localized benchmarking: Compare regional cost data against global averages. Understand how energy costs, labor rates, and feedstock availability in specific geographies affect the economics of funded technologies — enabling more targeted and effective funding decisions.

TEA Commons data and tooling are relevant to programs at DOE, NSF, ARPA-E, and their international equivalents — any entity making funding decisions about early-stage climate technology at scale. Our open-access model ensures the data is available to the public institutions that need it most.