[ Publication status ]
Examples, not verified client evidence
The client names, figures and outcomes on these example pages have not been verified for publication. Do not treat them as independently audited results, confirmed customer endorsements or guaranteed returns. Ask Fourtell for approved evidence relevant to your project.
[ 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