AI-powered platform that cuts technology adoption timelines from 10–15 years to 2–4 years, enabling faster climate action and smarter infrastructure decisions.
Climate challenges are accelerating, but technology adoption isn't keeping pace
It takes 10–15 years for emerging climate technologies to move from validation to real-world deployment. Governments, investors, and utilities lack the tools to rapidly identify and evaluate new solutions, creating a critical bottleneck in climate action.
TerraSyn's patent-pending reinforcement learning system autonomously discovers and evaluates pilot-ready technologies (TRL 5-7) in real-time, reducing the discovery-to-deployment timeline to 2–4 years through automated techno-economic analysis (TEA), life-cycle assessment (LCA), and multi-metric scoring.
End-to-end intelligence for infrastructure technology decisions
Reinforcement learning agent autonomously searches the web, identifies TRL 5-7 technologies with measurable data, and updates the database on scheduled cycles—continuously learning and improving.
Automated techno-economic analysis (TEA) and life-cycle assessment (LCA) evaluate capital costs, operational efficiency, carbon emissions, and resource depletion—normalized to unified 1-100 scores.
Retrieval-augmented generation (RAG) with vector embeddings enables semantic search, LLM-based explanations, and contextual insights—helping you understand why technologies rank the way they do.
Delivers actionable insights for investors, governments, and utilities to confidently deploy the most effective solutions.
Proprietary architecture combining continuous discovery with comprehensive assessment—unavailable anywhere else.
Accelerates adoption of climate-critical technologies, helping organizations meet resilience goals and emissions targets faster.
Positioned at the intersection of climate tech and infrastructure modernization
Rapid insight into emerging infrastructure tech for improved deal flow and ROI
Meet emissions targets and modernize infrastructure with validated solutions
Stay aligned with cutting-edge technologies and emerging standards
Strengthen resilience and upgrade systems for climate adaptation
World-class expertise in engineering, AI, and climate technology
Environmental Engineering student and research assistant at UT Austin specializing in water treatment technologies. Founder and inventor of TerraSyn's patent-pending architecture.
Electrical & Computer Engineering student at UT Austin specializing in AI-driven systems and embedded computing. Leading technical development of the autonomous discovery platform.
Leading business development and go-to-market strategy, bringing deep expertise in positioning climate tech solutions for institutional adoption.
Join us in closing the innovation-to-deployment gap and building a more resilient future.