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Plume

Category: AI in Climate / Energy

An AI-powered geospatial platform for renewable energy site selection, helping developers analyze grid, regulatory, and geospatial constraints using natural language. Plume was founded in 2024. The company is led by Édouard Labarthe. Based in Paris, France. Team size: 1-10. Total funding raised: $3.9M. Latest round: Seed. Key investors include AENU (lead), Y Combinator, Kima Ventures, RAISE Sherpas, Better Angle, Collaborative Fund.

Founded
2024
Headquarters
Paris, France
Team size
1-10
Total funding
$3.9M

Value proposition

AI-powered geospatial intelligence that aggregates 250+ fragmented datasets (geospatial, grid, regulatory) into a single platform, enabling renewable energy developers to select sites, assess risks, and process permits 20x faster.

Products and solutions

Plume Finder Platform: AI-powered geospatial site intelligence platform for renewable energy infrastructure (solar, wind, battery storage). Features include natural language querying of land parcels, grid queue prediction, automated due diligence reports, regulatory constraint analysis, and competitive intelligence via AI reading of local press and public filings.

Unique value

An AI copilot for renewable energy site selection that combines natural language geospatial queries, grid queue prediction, and automated permit due diligence — replacing months of manual GIS and regulatory work with minutes of AI-powered analysis.

Target customer

Renewable energy project developers (solar, wind, battery storage), IPPs (Independent Power Producers), infrastructure investment firms, grid strategy teams, and energy origination teams in Europe and the US.

Industries served

Renewable Energy (Solar, Wind, Battery Storage), Energy Infrastructure, CleanTech / Climate Tech

Technology advantage

Centralizes 250+ live geospatial data sources (zoning, environmental, grid, parcels, regulatory, heritage, terrain); uses AI agents to reason across 50M+ unstructured documents; enables natural-language geospatial queries without coding; claims 20x faster site selection and 60% reduction in project kill rate.

How they differentiate

AI-native natural language interface for geospatial data; AI agents that process unstructured regulatory documents (not just structured GIS data); grid queue prediction using hidden signals; 250+ continuously updated data layers vs. static datasets; built by ex-Palantir and ex-Harvard geospatial AI team.

Main competitors

LandGate (US-based land analytics for energy), Neara (3D utility/energy infrastructure modeling), traditional GIS consultancies and in-house development teams

Key partnerships

Y Combinator (S24 batch incubator)

Major milestones

Founded 2024, Accepted into Y Combinator Summer 2024 batch, Launched platform supporting 1+ GW of renewable projects for a dozen clients across 4 countries (France, Spain, Romania, Czech Republic), Raised $3.9M seed round led by AENU in April 2026.

Growth metrics

$330K revenue (2025); 6 employees (as of April 2026); supporting 1+ GW of renewable projects; 12+ clients; planning to double team to 12 by end of 2026.

Market positioning

Early-stage AI-native platform in the fragmented renewable energy site selection & due diligence market, positioned as an "Bloomberg Terminal for energy infrastructure" — competing against traditional GIS consultancies and manual regulatory analysis by offering an integrated AI agent platform.

Geographic focus

Europe (France, Spain, Romania, Czech Republic, Italy expansion) and United States

About Édouard Labarthe

Ex-Palantir (6 years, energy-related projects); Y Combinator S24 alumni.

Official website: