Why We Built This
Developers run a full cost-benefit analysis before choosing a site, weighing years of costs and returns, while communities get one hearing after the decision has effectively already been made. That's what an asymmetric process looks like: the community was never a variable in the analysis to begin with.
Founders
Product Vision · Sustainability Transitions · Regulatory Strategy
Beatriz leads product vision at LANDMARQ. She spent years working on sustainability transitions and the regulatory architecture that determines whether they succeed, including a stretch at Booster Fuels navigating multi-jurisdictional frameworks to bring new fueling infrastructure to market in the US. That work sat right at the gap between policy intent and community outcome, and LANDMARQ is her attempt to close it with data instead of guesswork.
MSc Sustainable Urban Development · University of Oxford
Executive Education, Sustainability Policy & Transitions · London School of Economics
Policy Specialist, Emerging Models · Booster Fuels
CEO & Product Vision · LANDMARQ
Infrastructure Strategy · Economic Development · FDI
Yaschin leads strategy at the Economic Cities and Special Zones Authority in Saudi Arabia, working with public and private stakeholders to design and implement growth strategies for Special Economic Zones. His years at McKinsey and BCG show up in how the scoring engine is built. It reads like an investment decision framework an IC could actually use.
MSc Sustainable Urban Development · University of Oxford
MBA with Distinction · London Business School
Partner · McKinsey & Company / BCG
Head of Strategy · Economic Cities & Special Zones Authority, Saudi Arabia
COO & Commercial Architecture · LANDMARQ
GIS Infrastructure · NIMBY Probability Engine · Data Platform
Patrick built the LANDMARQ geospatial data infrastructure from scratch and is the lead architect of the NIMBY Probability Engine, translating raw signal data into a single, auditable probability score. A competitor starting today would face at least 18 months of data collection before they could match the labeled outcome dataset and Bayesian calibration he has assembled.
MSc Sustainable Urban Development · University of Oxford
BS City, Urban & Regional Planning · Cornell University
Urban Designer · The Haskell Company
CTO & Geospatial Infrastructure · LANDMARQ
Oxford Research Network: All three co-founders are enrolled in master's programs at the University of Oxford, providing direct access to the Oxford Sustainable Infrastructure research network. Each founder retains their operating role through the pre-seed stage, a deliberate structure that keeps the team inside the infrastructure deal flow, regulatory environments, and engineering pipelines the product was built to serve.
What Makes Us Different
Domain Depth
Between the three of us, we've navigated multi-jurisdictional energy permitting in one of the most regulated states in the U.S., structured billion-dollar infrastructure deals at McKinsey and BCG, and built a scoring model shaped by an actual urban planner's judgment. That is the kind of combination no data license can replace.
Market Access
The team is based across the United States, Saudi Arabia, and the United Kingdom, giving LANDMARQ direct international relationships and market knowledge. LANDMARQ plans to adapt its scoring methodology to non-U.S. regulatory environments, and that global footprint shortens the path to entering new regions once it does.
Technical Moat
The 30-project backtest dataset, the Bayesian calibration, and the NLP model trained to fingerprint opposition all had to be built the hard way, one labeled project at a time.
Where We Are
Completed
Current Focus
Next 6 Months
We are working with infrastructure developers, PE funds, and tax equity investors who want a better first-screen before committing capital.
Data room available on request