Assess prospective sites based on regulations and what's been attempted in the past. Identify fatal flaws early.
Extract permitting pathways from zoning ordinances, moratoria, and public filings.
Derive community sentiment from real-time filings of local government meetings, news, and project filings.
Automate time-consuming processes such as data extraction, due diligence, and document drafting.
Explore a region’s local sentiment, zoning ordinance, and other projects in an instant.
Tired of reading and “ctrl+F” on hundreds of pages of complex policies and portfolio documents? Use AI to extract important answers instantly.
“Spark AI has transformed how we approach renewable energy projects, combining cutting-edge AI with insightful diligence tools. It’s been a game-changer, speeding up our evaluations and improving site selection accuracy, helping us turn our ambitious sustainability goals into tangible results.”
“Spark has significantly enhanced our development efforts at Stellera. The platform's ability to efficiently analyze critical project variables allows us to identify opportunities with greater accuracy and speed. Its intuitive interface and data-driven approach make it an invaluable tool in our renewable energy development process.”
“Spark AI is excellent at quickly accessing current information on moratoriums, zoning, opposition, etc., in counties where we plan to develop new projects. It saves significant time and provides better results than manual research.”
"Working with the Spark AI Team has been an outstanding experience over the past months. Their team has consistently tailored their platform to our unique needs, investing time to fully understand our workflow and continually explore ways to improve it."
Julia was one of the youngest engineering managers at Brex, worked as an engineer in Apple's AI/ML division, and built infrastructure at Microsoft Azure.
Within months of joining the energy sector, Julia developed chatbots such as SolarGPT and wrote articles about project finance and AI use cases that went viral.
Julia holds a Bachelor of Science in Computer Science and Economics from Brown.
Tae led the development of Tesla's warehouse software from scratch, managing systems that handled $xxMM in daily inventory and supported a factory producing 7k cars per week.
He also helped build Lucid's payment and commerce platform from the ground up, which processes millions of dollars in online vehicle sales transactions monthly.
Tae holds a degree in Industrial Engineering from Georgia Tech.