Real Results for Solo GCs
How photo-based AI takeoffs are helping residential contractors win more jobs, cut estimating time, and grow their business — without adding staff.
Case studies
Riverside Builds
From 3-hour takeoffs to 15 minutes on complex kitchen remodels
Marcus Chen was spending half his Fridays doing material takeoffs for bids. After switching to photo-based AI, he now handles 3x more estimates per week and finally has time to follow up with prospects instead of drowning in spreadsheets.
Read case study →Marina Construction Co.
Winning the bid on a $94K bathroom addition when she was still new in town
When Diana Ruiz moved to Austin, she didn't have a network. Her first big client was a referral from a Realtor who'd seen her work on a flip. She needed to produce a professional estimate fast — and she needed it to be right.
Read case study →Soto Home Services
Scaled from 12 to 31 active projects without adding an office assistant
Rafael Soto built his GC business over eight years. His bottleneck wasn't sales — it was back-office work. Every new project meant another round of material takeoffs and purchase orders. Photo-based AI freed him from that grind.
Read case study →Wright Renovation Group
Won a city contract for historic window replacement after low bids by two competitors collapsed
Historic restoration projects require detailed material documentation that slows down the bidding process. For Sarah Wright, the ability to produce comprehensive AI-assisted takeoffs became a competitive advantage when a city project needed fast, accurate turnaround.
Read case study →Bennett Builders
First year in business: 8 jobs, $420K billed, zero missed material orders
Derek Bennett started his GC business after 12 years working for others. He had the skills but not the systems. Photo-based AI gave him the estimating infrastructure of a company ten times his size.
Read case study →