We're building the entitlement intelligence layer that real estate has needed for 30 years.
The information has always been public. The problem has been the time, expertise, and cost to synthesize it into something a developer can act on in a morning.
The problem we saw
What developers spend on entitlements — attorneys, studies, drawings — before a shovel breaks ground.
Sites abandoned during the entitlement process — often after months of work and six-figure sunk costs.
The entire workflow is manual: attorney retainers, voicemails to planning departments, hand-drafted code summaries, and $25,000 traffic studies commissioned before anyone confirmed the site was even zonable. The zoning codes are public. The problem has never been access — it's been the time and expertise required to turn raw ordinances into a decision.
The team
Built by people who lived the problem.
Arvind Murthy
- Columbia GSAPP — Urban Planning
- Early employee, DemandForce (acquired by Intuit, $424M)
- Managing Director, Techstars Hard Tech
- Startup Investor Manager, AWS
Co-Founder
- VP of Retail Development, Vornado Realty Trust ($16B AUM)
- Columbia GSAPP — Urban Planning
- Led complex retail entitlements across major U.S. markets
- Deep operator experience in zoning and land use
Join Us
We're hiring founding engineers, AI specialists, and zoning experts who want to change how real estate development gets done.
Roadmap
Where we're going.
Team assembled, thesis validated with 20+ developer interviews.
Live in 3 cities. First paying customers onboarded.
Enterprise pipeline live. Municipal data coverage scaled.
Institutional market coverage. Institutional funding.
How it works
Our approach.
AI reads the codes. Humans verify the answers. Every analysis is grounded in primary municipal data.
AI reads the codes
Every municipal zoning ordinance, overlay, and amendment — ingested at the source, not from a third-party database.
Humans verify the answers
Licensed planners review every interpretation before it enters our system. No hallucinated regulations.
Grounded in primary data
Every analysis cites the exact municipal code section. Your attorney gets answers, not abstracts.
Want to learn more?
See the platform in action or get in touch with our team.