Community intelligence

Growing community voice and power in the Clean Energy boom.

The moment

The Clean Energy wave is here

The Problem

We need a just energy transition that treats the communities where clean energy projects are sited as partners.

The Price

Increased traffic and noise pollution. Loss of agricultural lands. Adverse health effects. Ugly construction.

Indigenous people, Black and brown folks, and women and girls often pay the biggest price.

The platform

Pythia: bringing communities to the table

Pythia is a knowledge platform to un-gate the intelligence and expertise needed so development projects create the greatest benefit for communities.

If you're a community-based organization or grantmaker, we'd love to talk. Schedule a conversation to share your community's experience with development and see a demo of Pythia.

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The Platform

How Pythia Works

Three kinds of knowledge

The power of community intelligence

Pythia helps harness meaningful community intelligence. Communities retain control of their data and decide how its shared:

01 Self-knowledge

Intelligence tools capture community sentiment and synthesize without bias:
  • surveys
  • conversations
  • emails

Community intelligence backs up organizers and leaders as credible representatives of the people whom developers and regulators want at the table.

02 Shared knowledge

Communities decide what is shared and with whom:
  • How open a community is to a renewable energy project.
  • What a community's priorities and needs are—what would make development worth it, and what would make a developer a good neighbor.
  • Who the ready and recommended community partners are.

03 Expert knowledge

Expertise is at communities' fingertips: zoning and permitting regulations, policies, and processes—and how other communities have responded to proposed development.
  • Trained AI agents
  • Vetted human experts

The gap

Other solutions fall short

A handful of new, developer-aligned tech startups are trying to address social risk using proxies—public meeting records, petitions, and social media—to measure the likelihood of community opposition at the siting and origination stage, before a developer submits a project proposal and before any contracts are executed.

The timing is right, but they're relying on incomplete (and sometimes misleading) information that can only approximate how a community feels. This approach can also be extractive, without giving residents voice or power in the process.

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