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[ Renewables · Helios Thermal Group ]
Satellite-vision lead engine finds 42,000 qualified solar roofs
A geospatial AI platform that scans satellite and aerial imagery to identify commercial rooftops suitable for solar thermal heating and hands ranked leads to the sales team.
- Qualified commercial leads
- 42k
- Time to live
- 16 weeks to deployment
- Engagement
- Rent-performance SaaS
The challenge
Helios's commercial sales team was cold-calling industrial estates blind, with no way to know which rooftops had the orientation, surface area and shading profile to justify a solar thermal install.
Our approach
Fourtell built a custom vision pipeline that segments rooftops from multi-source satellite imagery, scores each for solar heating yield, enriches with company ownership data and pushes prioritized leads straight into the Helios CRM. Deployed as a rented SaaS priced per qualified lead.
The outcome
- 42,000 pre-qualified commercial rooftops surfaced in the first year
- 3.7x lift in sales-meeting conversion vs. cold outreach
- €6.8M in new contracted revenue attributed to the platform