For a homeowner, the gap between wanting a new garden and actually hiring a landscaper is vast. Neighborbrite, a Salt Lake City startup founded in 2023, is aiming to fill that gap with a free, AI-powered tool that generates personalized yard designs from a simple photo [Crunchbase]. The bet is that by removing the initial friction of visualization, they can become the starting point for millions of exterior projects and, eventually, the conduit to the professionals who execute them.
The free design wedge
Neighborbrite’s core product is straightforward. A user uploads a photo of their yard, selects a style preference, and the platform returns a rendered design with climate-optimized plant suggestions [Crunchbase]. The company reports significant early traction, with claims of over 100,000 registered users across 170 countries and more than 2 million designs generated [Zoominfo, prospeo.io]. In a later interview, CEO Luis Benavides cited even higher figures, stating the platform had reached 500,000 users and generated 15 million designs [StartupExplore, ~2024-2025].
The path to a marketplace
A free design tool is the top of the funnel. The intended business model is a two-sided marketplace. Neighborbrite aims to connect homeowners who have a visualized plan with local landscaping professionals and retailers who can supply materials or services. The recent backing from investors like Jason Calacanis’s LAUNCH Fund and OVO Fund suggests confidence in this land-and-expand strategy.
The competitive terrain
Neighborbrite is not alone in applying AI to landscape visualization.
| Competitor | Primary Focus | Key Differentiator |
|---|---|---|
| iScape | Homeowner & Pro | Established brand, extensive plant library |
| YardAI | Homeowner | Mobile application, social sharing |
| Curb Appeal AI | Homeowner | Exterior design beyond landscaping |
| LandscapioAI | Homeowner | AI-driven 3D visualizations |
| REimagine Home | Real Estate | Staging and virtual renovations |
The execution risks
For all its early user growth, Neighborbrite faces the classic marketplace challenge of balancing supply and demand.
- Monetization friction. Converting a user who received a free design into a paying customer is a significant leap. The company has not yet detailed its monetization mechanics or cut rates.
- Professional acquisition. Building a reliable network of landscaping professionals requires a dedicated sales and vetting effort.
- Data depth. The quality of the AI’s plant recommendations depends on hyper-local climate, soil, and zoning data.
Founder Luis Benavides, whose background includes roles at Google and Coinbase, brings product and scaling experience, but the domain-specific grind of building a local services marketplace is a different discipline [Crunchbase].