LANDMARQ provides permission intelligence for infrastructure projects, mapping community opposition risk and estimating approval timelines before capital is committed. The platform scores neighborhoods and political signals to predict permitting friction, enabling developers to price this unpriced variable during site origination. Currently in a San Diego pilot, LANDMARQ plans national rollout across asset classes including data centers.
Funding
Funding not disclosed
Founders
Product
Problem
Infrastructure developers routinely commit significant capital to site origination, engineering, and permitting before discovering that local community opposition will block the project. By the time opposition surfaces at town hall meetings or zoning hearings, developers have typically sunk $200K+ in legal and engineering costs, with no data to predict the political and community risk that will kill the deal.
Solution
LANDMARQ provides permission intelligence that maps the build-out, measures local impact, and monitors political and community signals to price the resulting friction before capital is committed. The platform scores opposition risk by neighborhood with confidence intervalsaint, models expected value against friction costs and combined pass odds, and maps the four approval gates that determine whether a 90-day filing becomes a 764-day fight. Developers can identify hostile counties at the origination stage, adjust deal economics based on realistic approval timelines, and avoid sinking deposits into sites that will never clear zoning. The platform's verified opposition model fills the only unpriced variable in the infrastructure development stack, preventing the value destruction cascade that compounds from origination through construction.
Target Audience
Primary customers are infrastructure developers, particularly those in data center, renewable energy, and utility-scale construction, who need to assess community opposition risk during site origination and feasibility analysis.
Features
- Neighborhood-level opposition risk scores with confidence intervals, derived from political and community signal monitoring
- Risk-adjusted deal economics modeling expected value against friction cost, approval timeline, and combined pass odds
- Approval gate analysis mapping four permitting stages with individual pass odds and timeline projections
- Geographic coverage currently spanning San Diego as pilot market with national rollout planned
- Verified opposition model distinguishing political and community risk from adjacent data points like land availability, grid capacity, and environmental flags