Spark

AI-powered permitting intelligence platform for solar, storage, and data center infrastructure, covering 3,000+ U.S. counties nationwide with site selection, zoning analysis, moratoria tracking, and community sentiment monitoring.

About Spark

Spark AI is workflow software for solar, storage, and data center developers. We've reviewed and identified over 1 million zoning, permitting, and project-related documents in nearly every jurisdiction in America, so that you can instantly identify project requirements, local sentiment, and fatal flaws in seconds.

We’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing. Our team combines leadership experience from AI and energy (Microsoft, Apple, Department of Energy, Brex).

Industries served

Products

  • Spark

    Energy & Utilities

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    AI-powered platform for site selection, zoning analysis, moratoria tracking, community sentiment monitoring, permit matrix generation, bulk screening, document diligence, and re...

  • Permit Matrix

    Energy & Utilities

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    Standalone orderable permit matrix that captures the legal, procedural, and social landscape of any site, generating a complete permitting matrix in seconds.

What customers say

“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.”
CustomerSpark customer
“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.”
CustomerSpark customer
  • Dynamic Energy uses Spark to automate initial solar-site screening with zoning analysis, moratorium alerts and community sentiment reports. Spark reports an 80% reduction in site evaluation time and use across four…

    Case study
  • Doral uses Spark to find and analyze ordinances, amendments and projects during site origination. Spark reports that the team spots project-ending red flags in minutes rather than weeks, freeing more time for landowner…

    Case study
  • Standard Solar uses Spark to run department-specific diligence questions across project data rooms, with answers linked to source documents. Spark reports adoption across legal, engineering, construction and project…

    Case study

Security and compliance

As reported by Spark. Ask for audit reports before you buy.

  • SOC 2 Type ICompliant
  • Data encrypted at rest
  • Data encrypted in-transit
  • Access control and authorization
  • Audit log management
  • Vulnerability scanning
  • Penetration testing remediation
  • Disaster recovery plans tested
  • Automated backups enabled
  • Business continuity and disaster recovery policy established
  • MFA required for infrastructure access
  • Password management policy enforced
  • DMARC policy and verification used
  • Email account access restricted
  • Anti-malware deployed on end-user devices
  • Data encrypted on end-user devices
  • Firewall maintained on end-user devices
  • Mobile device management (MDM) used
  • Active discovery tools used
  • Configuration management system established
  • Infrastructure changes logged
  • Infrastructure changes require review
  • Production deployment access restricted
  • Unauthorized assets addressed and removed
  • Unique production database authentication enforced
  • Adequate audit log storage maintained
  • Incident response policy established
  • Infrastructure performance monitored
  • Log management used
  • Network infrastructure monitored
  • Asset inventory maintained
  • Asset management policy established
  • Vendor inventory maintained
  • Vendor management program established
  • Vendors classified by data sensitivity
  • Vendors classified by risk level
  • Automated software patch management performed
  • Vulnerability management policy established
  • Zero data retention for uploaded documents
  • Uploaded documents not used for AI model training
  • Uploaded documents not shared with model providers for training
  • Dormant accounts disabled
  • Account inventory maintained
  • Access requests to sensitive data required
  • Access requests to sensitive infrastructure required
  • Access revoking process enforced
  • Data inventory maintained
  • Data labeled by sensitivity level
  • Data management and retention policy established
  • Data recovery process established
  • Recovery data isolated

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