# PNNL Releases PermitAI Data Tools

On October 22, 2026, the Department of Energy’s Pacific Northwest National Laboratory (PNNL) released two public PermitAI resources: an expanded NEPA document database that includes geospatial content, and an open-source toolkit connecting users to live data from 23 government and authoritative sources. No solicitation or funding amount was identified. For contractors working in environmental review, geospatial AI, data integration, or permitting, the tools offer a practical opportunity to evaluate emerging federal data capabilities and align solutions with the data standards they may support.

- Companies in environmental review, geospatial AI, and data integration can test the public resources against relevant workflows and assess how their offerings could work with the available data.
- The toolkit’s connections to 23 sources may be useful to firms developing permitting and environmental-review solutions that integrate multiple authoritative datasets.
- PNNL’s stated readiness to deploy the tools in real-world workflows signals an implementation focus; the announcement does not identify a contract opportunity or funding to pursue.

**Jurisdictions:** federal
**Industries:** Information Technology, Environment
**Topics:** Artificial Intelligence, Digital Infrastructure
**Published:** October 22, 2026

### Government Entities
- Pacific Northwest National Laboratory (PNNL)
- U.S. Department of Energy (DOE)
- U.S. Department of Energy Office of Policy
- Council on Environmental Quality (CEQ)
- Permitting Council

### Vendors
- Google (Cloud platform and data-enrichment support)
- OpenAI (Collaborator on the DraftNEPABench benchmark)

### Key Quotes
> We are now at a key inflection point in the development of PermitAI, where we are ready to deploy our tools and resources in real-world workflows.
> — Sarthak Chaturvedi, NEPA-MCP project lead

### Sources
- [PNNL PermitAI Releases 2 Environmental Review Data Tools](https://www.executivegov.com/articles/pnnl-permitai-nepatec-environmental-review-data) - ExecutiveGov