Permitting intelligence for renewable energy, storage,
and data centers
AI workflows for permitting, competitive intelligence, and community sentiment in seconds. Accelerate site selection and reduce development risk.
Proven results at scale
Metrics from leading energy developers on Spark
Trusted by leading power producers
AI workflows for permitting intelligence
Comprehensive tools to analyze sites, extract requirements, and understand community dynamics in seconds
Selection
Assess prospective sites based on land use and past projects
Requirements
Extract permitting feasibility from zoning ordinances and moratoria
Interpretation
Derive community sentiment from local authorities, town hall meetings, and social media
Workflows
Accelerate portfolio and M&A diligence with automated analysis
Powerful tools for every stage
From initial screening to deep-dive analysis, we provide the intelligence you need
Customer Testimonials
How best-in-class developers accelerate their projects with Spark
“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.”
CI“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.”
ES“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.”
DP“Using Spark, I was able to finish a project in days that otherwise would have taken 3 weeks. Spark is a great tool for navigating complex documents. It saves time, energy, and is very simple to use.”
MSBrought to you by leaders in energy and software
Our team hails from top technology + energy companies and academic institutions
FAQ
Spark is not just site screening. It's permitting + zoning + local sentiment intelligence you use alongside GIS and mapping tools: Spark answers "can we actually get this built here?" with evidence-backed outputs (ordinance language, moratoria, process steps, red flags), not just a score.
Core differences:
- Zoning + permitting depth: Spark scans and structures ordinances, land use codes, moratoria, meeting minutes/agendas, filings, and other local records.
- Sentiment as a first-class risk signal: Spark tracks community opposition signals that often show up online (on social media, for example) before hearings.
- Auditable, repeatable diligence: crawl → extract → normalize → index → cite, so outputs remain traceable to sources instead of "best-effort" summaries.
ChatGPT is a general-purpose LLM optimized for drafting and summarizing. Spark is a domain-specific system engineered for deterministic coverage, verifiability, and scale—with persistent corpuses, citations, timestamps, and gap-reporting when something can't be found.
Spark crawls multiple times per week, continuously scanning authoritative public sources (AHJ sites, agendas/minutes, filings, local news) and storing each finding with a citation and timestamp.
Nationwide coverage across all 50 U.S. states, down to county and township levels (where online public-source presence exists).
Spark supports utility-scale solar, storage (BESS), and data centers. It also supports broader infrastructure diligence via the permitting matrix workflow (including wind, natural gas, and beyond).
Spark is built for diligence-grade security and traceability:
- Zero Data Retention: uploaded permitting/zoning/M&A documents are not stored or shared with any AI model provider for training.
- Enterprise-grade security practices: encryption, access controls, and audit logging consistent with enterprise expectations.
- Citations without exposure: answers include page-level citations, but references remain inside the secure workspace; underlying documents don't leave that environment.
No. Uploaded documents are not used to train AI models and are not shared with model providers for training.
Annual software subscription. Pricing typically depends on seats + usage volume. Book a call and we can provide a quote based on your specific needs.
See Spark in Action
We'd love to learn about your growth plans and help you develop faster.