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Solar proposals in minutes, not weeks: we built the engine that powers Powur.

Powur works to accelerate the adoption of sustainable energy by making it easier for homeowners to go solar and for independent sellers to work flexibly from anywhere. Its platform links sellers and homeowners with the inspectors, installers, suppliers, lenders and permitting offices behind every residential installation.

As Powur's long-term technology partner, Wildstream built the core platform from the ground up and extended it with AI tools: solar proposals generated in minutes from satellite imagery, installation risks detected in inspection photos, and the MyPowur mobile app for sellers.

Powur
  • AI Engineering
  • Applied AI
  • Software Engineering

$3M saved yearly

Building the proposal tool in-house eliminated $3 million in annual third-party vendor costs for Powur's sales operation

80,000+ daily users

The platform supports more than 80,000 users every day, from independent sellers working remotely to homeowners going solar

Issues found earlier

Potential installation problems surface during the initial walkthrough instead of when the crew is already on site

AI Engineering

Photo-Based Installation Risk Detection

Solar installers often discover structural or electrical problems only when the crew is already on site. These issues tend to come to light only after installers arrive with the full installation crew, when solving them means rescheduling the job, reworking the design or sending the crew home.

Issues found earlier

Potential installation problems surface during the initial walkthrough instead of when the crew is already on site.

Uses existing photos

Analysis starts from the photos taken during inspection, so no extra site visit or special equipment is required.

Informed dispatch

Crews are sent out once the risks of a site are known, avoiding trips that end without an installation.

What we did

Computer vision analyzes inspection photos to flag structural and electrical risks during the initial walkthrough, before crews are dispatched.

Image analysis is applied to the photos taken during inspection to identify structural risks and electrical issues at each site. Installers see potential installation problems while they are still at the initial walkthrough stage, so the installation can be planned around them before any crew or equipment is committed.

How it works
  1. Photos of the site are taken during the initial inspection walkthrough
  2. Computer vision and image analysis process the inspection photos
  3. Structural risks and electrical issues are flagged from the images
  4. Installers review the flagged problems before crews are dispatched
Key capabilities

Computer vision

Computer vision interprets each inspection photo, recognizing the parts of the roof and electrical setup that need attention.

Structural risk flags

Image analysis marks structural risks in the photos, so installers know what to check on the roof before work starts.

Electrical issue flags

Electrical issues are identified from the same images, giving one combined view of the risks for each installation.

Technology
  • Computer vision
  • Image analysis
Impact

Structural and electrical risks spotted in inspection photos, before the installation crew sets out

Earlier decisions

Issues raised at the initial walkthrough give installers time to adjust the plan before any equipment or labor is committed.

Smoother installation days

Problems are resolved or planned for in advance, so installation days run closer to schedule for installers and homeowners.

Better homeowner experience

Homeowners face fewer delays and rescheduled visits, because problems are dealt with before the crew arrives at their home.

Bring us a challenge like this

Tell us where your operations still depend on manual work, and we will tell you what is worth building first.