Completed
Closed. Onboarding a municipal infrastructure agency next.
StonewellThis project has been verified
Structural crack detection from ordinary smartphone photos.
$330,000 raised so far, confirmed by both parties (79%)
Details
- Category
- AI / Machine Learning
- IP type
- Patent
- Stage
- Revenue
- Ask type
- Fixed amount
- Listed
- Sep 16, 2026
- Views
- 0
Description
Stonewell analyzes smartphone photos of building facades, bridges, and foundations to detect and measure structural cracks over time, flagging developing issues an inspector might otherwise catch too late. Used by two regional infrastructure inspection firms.
Problem
Structural inspections rely on manual visual review that's inconsistent between inspectors and rarely tracks how a crack changes over time.
Solution
A vision model that measures crack dimensions from ordinary photos and tracks change across repeated inspections, standardizing what's usually a subjective visual call.
Target market
Structural inspection firms and municipal infrastructure agencies.
Business model
Per-inspection software licensing fee.
Investments
Oliver Schmidt invested $230,000
6% equity
Diego Fernandez invested $100,000
3% equity
Discussion (1)
Diego Fernandez
Tracking crack progression over time instead of one-off visual calls is a genuinely useful upgrade.
Ana Popescu
Innovator·🇷🇴 Romania
Structural engineer, spent a decade doing this inspection work by hand.