Spark
AI-powered workflows for energy infrastructure
What they do
Energy infrastructure developers waste significant time and risk missing critical requirements when navigating fragmented zoning, permitting, and local sentiment information across jurisdictions.
Spark provides AI-powered workflow software that analyzes a large corpus of zoning and permitting documents to instantly surface project requirements, sentiment, and fatal flaws for solar, storage, and data center projects.
Solar, energy storage, and data center developers (typically enterprise-scale) use it to assess and de-risk project development.
Founders
Julia is the co-founder and CEO of Spark, an AI-powered permitting and workflow solution for energy infrastructure. Before Spark, Julia was an engineering manager and early engineer at Brex, where she led teams like Card Fraud, Growth, and Rewards. She was also an engineer at Apple Siri and Microsoft Azure. Julia studied computer science & economics at Brown, speaks 3 languages natively, and grew up between Brazil and China.
Anuj Saigal is co-founder of Spark AI. He spent a decade building energy infrastructure at SunEdison, EVgo, and the Department of Energy before building the permitting tool he always needed. Previously CEO of Dataherald (YC W21), revenue lead at Nauto. Northwestern Kellogg MBA, UC Berkeley Economics.
Open roles 2
Company timeline
- Founded2023
- YC batchWinter 2024
- StatusActive
- Team size5 people
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