News

Timeline

  • September 16, 2025 — 'We’re excited to announce that Leaptran has been selected as a finalist in PG&E’s 2025 Pitch Fest in the Large Load Management category—one of 57 energy- and climate-tech innovators chosen from over 400 applicants. PG&E’s Pitch Fest (Sept. 23–25 in Oakland) will shine a light on breakthrough solutions in grid modernization, wildfire resilience, and more. Being part of this finalist group underscores Leaptran’s commitment to pioneering large-scale load management innovations.
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  • January 7, 2025Leaptran Selected by U.S. Department of Energy to AdvanceInterconnection Innovation
    Alongside our utility partners, Leaptran—together with a group of leading utilities and innovators—has been selected by the U.S. Department of Energy (DOE) through a highly competitive process to help streamline distributed generation interconnection queue management andanalysis. Our Forecasting-Based Generator Interconnection Analytics Software Tool (F-AST) will simplify and accelerate the interconnection process for renewable energy projects larger than 100 kilowatts, supporting both rural and urban distribution networks.
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  • September 23, 2024 — We’re proud to be part of the Unlock Capital Cohort! A heartfelt thank you to all the speakers, mentors, and advisors for their invaluable guidance. We’re excited to continue building these connections and look forward to the Investor Showcase on November 22, 2024, in NYC!
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  • October 2023 — Leaptran wins major SBIR funding and innovation prizes for its solar forecasting technology, reinforcing its role in advancing grid forecasting solutions.
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  • April 2019 — Leaptran, led by CEO Jeff Xu, received a sustainable energy innovation award at the SCC conference in Denver.
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  • December 2017 — Launched as a spinout from UTSA, Leaptran originated from more than a decade of research in building energy optimization and DER integration. It secured NSF I-Corps funding and a DOE SBIR Phase I award, and began collaborating with UTSA and CPS Energy on microgrid-level DER optimization.
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