Platform status
38 API paths verified
14 frontend routes wired
29,890 permit records seeded
San Diego pilot active
Outcome dataset acquisition in progress
Intelligence Platform
Platform Overview

LANDMARQ quantifies community opposition risk before capital is committed to non-viable infrastructure sites. The platform scores parcels across 7 variable categories, producing a Community Risk Score and Tier 1-4 IC recommendation. San Diego pilot active. Outcome dataset acquisition in progress.

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Projects killed by opposition
1 in 4
Solar, wind, BESS, data centers
Sunk cost per dead site
$200K+
Before opposition surfaces
Permit records seeded
29,890
San Diego pilot
Processing time
<200ms
Architecture verified · calibration in progress
The 7 Variable Categories
1 · Community Sentiment and Political Climate
NLP scoring of town hall minutes, local news, and elected official statements. Surfaces organised opposition fingerprints. Strongest predictor per Stokes et al. (2023, PNAS).
2 · Historical Permitting Outcomes
County approval and denial history for comparable asset classes. Path dependence in permitting is well-documented. Susskind et al. (2022, Energy Policy).
3 · Regulatory and Zoning Environment
CUP requirements, active moratoriums, CEQA/NEPA trigger assessment. Conditional Use Permit mandates activate latent opposition. Wolsink (2000, Renewable Energy).
4 · Community Equity and Engagement
Benefit-sharing structures, PILOT agreements, and developer engagement quality. Early, substantive engagement reduces opposition rates. Löw-Beer et al. (2025, Nature Communications).
5 · Physical and Site Characteristics
GIS proximity modelling for visibility from residential zones, proximity to sensitive receptors, and setback compliance. Roddis et al. (2018, Applied Energy).
6 · Cumulative Burden
Regional infrastructure saturation. Communities experiencing repeated siting resist new proposals at higher rates. US EPA Cumulative Impacts Framework (2022).
7 · Demographic and Socioeconomic Composition
Race, income, homeownership, and education provide secondary predictive signal in US datasets. Applied alongside primary sentiment and historical variables. Stokes et al. (2023, PNAS).
Tier 1-4 IC Recommendation
Tier 1
Opposition probability below 15% · VaR below 5%
Low community friction. Suitable for engineering diligence.
Tier 2
Opposition probability 15-35% · VaR 5-15%
Elevated friction. Community engagement strategy recommended.
Tier 3
Opposition probability 35-60% · VaR 15-30%
High friction. IC review required. Consider alternative sites.
Tier 4
Opposition probability above 60% · VaR above 30%
High opposition risk. Estimated exposure warrants site abandonment.

Probabilistic opinion only · not legal advice or a permitting guarantee · Disclaimer.