Sunrise
Sunrise provides an automated B2B solar prospecting platform that uses AI to detect and qualify high-potential rooftops from satellite imagery, then enriches each lead with financial data and verified decision-maker contacts. The platform lets users filter prospects by location, activity sector, roof size, and workforce, and includes a collaborative pipeline tool for tracking deals from first contact to signature.
- Sales Technology
- Clean Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- Energy
- Space Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
B2B solar developers spend significant time manually identifying suitable rooftops, assessing their solar potential, and finding the right decision-makers to contact. This process is slow, often relies on outdated data, and lacks a unified view of a building's technical, financial, and contact information, leading to missed opportunities and inefficient prospecting.
Solution
Sunrise automates the entire solar prospecting chain, from building detection and qualification to decision-maker outreach. Its AI models analyze satellite imagery to identify and reconstruct rooftops of industrial, commercial, and agricultural buildings, estimating their solar production potential. The platform enriches each lead with public financial data, estimated energy consumption, and verified contact details of company directors, including LinkedIn profiles and direct emails. Users can filter prospects by location, activity sector, roof size, and workforce, and weight their own scoring criteria to prioritize the most promising leads. A built-in pipeline tool allows sales teams to track prospects through stages from initial contact to signed contract.
Target Audience
Primary customers are B2B solar developers, installers, and energy companies seeking to automate and streamline their commercial solar prospecting across France.
Features
- AI-powered rooftop detection and reconstruction from satellite imagery, with per-panel azimuth and surface area analysis
- Automated qualification combining solar potential, estimated consumption, and public financial health data into a customizable score
- Advanced filtering by commune, NAF activity code, roof surface, and employee count, with exclusions for Seveso sites and existing solar installations
- Automatic contact enrichment that identifies company directors, their LinkedIn profiles, and verified direct emails and phone numbers
- Collaborative pipeline management for tracking prospects through stages like "To contact," "Contacted," "Appointment booked," and "Sold"
- Continuously updated information, with each prospect file refreshed every few days to ensure data accuracy