GV leads $25M Series B in Hover, a computer vision startup that allows consumers to easily create 3D models of their homes via a smartphone app
Lucas Matney / TechCrunch :
Context & Ripple Effects
GV's $25M Series B put Hover on a funding path few consumer computer-vision startups sustain: within two years it followed with a $25M Series C led by Menlo Ventures, then a $60M Series D at a $490M post-money valuation built on turning eight smartphone photos into repair-assessable 3D models.
The round landed in an active capture market — holographic-capture startup 8i had just raised $27M for its Holo app, and GV was simultaneously backing industrial-vision work through its stake in Veo Robotics' $12M Series A — while design-side rival Modsy later pulled in a $37M Series C blending vision tech with human designers.
First-order effects
- Hover gets the capital to scale its smartphone-photo-to-3D-model app beyond early users, with consumers able to model their own homes without professional measurement equipment.
Second-order effects
- Modsy's designer-plus-computer-vision approach now competes against a pure-software capture pipeline for the same home-improvement user, pressuring the human-in-the-loop cost structure.
- Contractors and repair estimators gain a cheap source of accurate 3D home models, shifting measurement work from site visits toward photo submissions.
Third-order effects
- If the funding arc holds — from this Series B to the $490M Series D valuation — smartphone photogrammetry becomes standard infrastructure for home services, displacing specialized scanning hardware and reshaping how insurers and contractors price assessment work.
The trend: Smartphone-only photogrammetry is replacing specialized capture hardware across property and design markets, with venture capital racing to own the software layer.