Plume, a Franco-American startup specialising in geospatial AI for renewable energies, has announced a €3.3M funding round to expand the team, as well as for European and American expansion.
The round was led by AENU, with participation from Y Combinator, Kima Ventures, Raise Phiture, Better Angle and Collab Fund.
“Plume tackles the most critical bottleneck in the energy transition: the years of friction accumulated from manual site selection and permit processing. By transforming fragmented geospatial layers and unstructured data into an agentic intelligence platform, they allow developers to go 20 times faster. We are delighted to support a team that is not just building a tool, but a new standard for the deployment of global energy infrastructure,” said Robert Stoecker, partner at AENU.
Plume was founded in 2024 by Edouard Labarthe (ex-Palantir) and Marc Watine (ex-Harvard researcher in geospatial and AI) and incubated by Y Combinator. It is an AI-powered geospatial platform for site selection in energy infrastructure projects.
The startup claims to centralise over 150 geographical datasets, updated constantly, and deploys AI agents that analyse thousands of unstructured documents to speed up prospecting, permit processing, and grid connection.
According to the company, developing a renewable energy project (solar, wind or battery storage) requires cross-referencing zoning data, grid capacity, protected areas and land parcels, while analysing municipal deliberations, permit histories, environmental studies and grid development plans. In France, this project draws on nearly a hundred layers of geographic data, complemented by urban planning documents, agricultural chamber records, and permit archives.
Plume states that most of this work remains manual, entrusted to large teams for months: many projects are therefore abandoned after years of effort, and delays are measured in years when the climate transition requires months.
“Renewable energy development is a reasoning problem hidden in maps and documents. Our AI agents synthesise structured geospatial data and unstructured regulatory information to produce clear territorial intelligence, helping project developers go faster while selecting projects with the highest probability of reaching construction,” said Edouard Labarthe, co-founder and CEO of Plume.
The company claims to be the first and only tool to centralise geospatial data and unstructured regulatory documents within a single platform. It aggregates more than 150 sources, including natural areas, electrical grids, PPRi (flood risk prevention plans), building permits, local authority deliberations, and deploys AI agents that reason over all of this information in natural language. A project manager can now quickly get a site analysis from the platform without needing any technical skills, saving several weeks of manual effort.
The startup states that it enhances the efficiency of invested capital and helps minimise unexpected setbacks at the end of development by enabling better site selection and earlier risk identification. Plume reported that its clients observed that its agents enable site analyses to be completed up to 20 times faster and with three times greater accuracy.
“Uncertainty regarding risks and timelines remains one of the main obstacles to the deployment of renewables in Europe. We are building the intelligence layer that allows teams to move faster and increase the share of projects that actually succeed,” added Labarthe. The company mentions that in France, nearly 500 companies developing renewable infrastructure could benefit from its platform.
Plume is already deployed in France, Spain, Romania and the Czech Republic, and aims for Italy and the United States in 2026. With the new funding, the company plans to expand its team from 6 to 12 employees by year’s end.
It also aims to launch in additional European markets and advance the platform’s stakeholder mapping, AI-driven competitive intelligence, and automated permit application drafting. The company is hiring experts in AI systems, geospatial engineering, and energy analysis.
Read the orginal article: https://www.eu-startups.com/2026/04/franco-american-startup-plume-raises-e3-3-million-to-speed-up-renewable-energy-site-selection-with-geospatial-ai/
