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Permission Intelligence for Infrastructure

Platform Overview

Key Numbers

1 in 4

Projects killed by opposition

Solar, wind, BESS, data centers

$200K+

Sunk cost per dead site

Before opposition surfaces

~$12K

LANDMARQ diligence cost

Full desktop score · Day 1

<200ms

Processing time

Full 7-variable score per parcel

Platform Architecture

One governed evidence base. Four surfaces, one decision.

Discovery feeds distribution, distribution feeds monitoring, and all three feed the decision customers pay for.

01 · Map

Helios

The global infrastructure atlas: where assets, operators, and capacity concentrate. Creates the top of the funnel for global discovery.

02 · Understand

Athena

Local impact: what current and proposed facilities mean for a specific place. The same records as a public, place-based experience.

03 · Monitor

Argus

Live intelligence on projects, policy, dockets, officials, and organized groups, with alerts and watchlists that signal when a project needs rescoring.

04 · Decide

Decision Engine

Project underwriting: regulatory path, timeline, friction cost, and capital action. Where the customer pays, and where the Tier 1–4 recommendation below is generated.

The Platform Pillars

Pillar 01

Best Use (HBU) Land Intelligence

Evaluates whether a parcel's highest and best use aligns with the proposed infrastructure type, factoring in agricultural comparable values, land use history, and surrounding development patterns. Surfaces misaligned sites before engineering capital is committed.

Pillar 02

Grid Capacity Interconnection

Surfaces available grid headroom from HIFLD databases and interconnection queue position data, filtering sites where grid constraints would kill the project independent of community factors. Prevents capital from entering a saturated queue for a site with no viable path to interconnection.

Pillar 03 · Core Engine

NIMBY Friction Core Engine

The core scoring engine. Translates 100+ observable signals across seven variable categories into a single Community Risk Score and opposition probability, with a Tier 1–4 IC recommendation generated in under 200ms.

Pillar 04

Neighboring Value Land Economics

Analyzes surrounding land value trends and comparable transactions to assess whether a site sits in a corridor with upward or downward development pressure. A signal for both community opposition risk and long-term project IRR.

See It In Action

Every screen below is pulled directly from the live platform.

Development Risk Report

Score a neighborhood.

Select a neighborhood and get a full risk breakdown: historical approval rate, opposition risk score, and the odds of clean approval, conditional approval, or rejection before a dollar of diligence is spent.

LANDMARQ development risk report for North Park, showing approval odds and community opposition indicators

Risk Mitigation

What to do about the risk.

Every approval gate comes with two priced paths forward: amend the project for a faster, cheaper probability boost, or wait it out and absorb the carrying cost. Both options are quantified in probability points and dollars.

LANDMARQ risk mitigation screen showing amend versus wait options with probability gains and costs

NIMBY Score Engine

  • 01

    Community Sentiment & Political Climate

    A read on local political and community sentiment that standard zoning data doesn't capture, drawn from public sources most diligence teams never think to check.

    Strongest predictor per Stokes et al. (2023, PNAS)

  • 02

    Historical Permitting Outcomes

    A jurisdiction's track record with comparable projects. Places that have said no before tend to say no again, and that pattern is measurable.

    Susskind et al. (2022, Energy Policy)

  • 03

    Regulatory & Zoning Environment

    The permitting pathway itself: which approvals are required, what triggers a public hearing, and where a moratorium or environmental review could add friction.

    Wolsink (2000, Renewable Energy)

  • 04

    Community Equity & Engagement

    How a project shares value with the community it sits in, and how early developers engage with it. Both move opposition more than most teams expect.

    Löw-Beer et al. (2025, Nature Communications)

  • 05

    Physical & Site Characteristics

    What the site actually looks and feels like from the surrounding neighborhood. Two parcels with identical zoning can face very different opposition depending on what's visible from the road.

    Roddis et al. (2018, Applied Energy)

  • 06

    Cumulative Burden

    Whether the surrounding region has already absorbed its share of similar projects. Saturation drives resistance regardless of an individual project's merits.

    US EPA Cumulative Impacts Framework (2022)

  • 07

    Demographic & Socioeconomic Composition

    Demographic and socioeconomic context, used as a secondary signal alongside sentiment and permitting history, never as a standalone predictor.

    Stokes et al. (2023, PNAS)

Tier Recommendations

Tier 1

Opposition <15%
Value at Risk <5%

Low community friction. Suitable for engineering diligence. No material opposition risk identified.

Tier 2

Opposition 15–35%
Value at Risk 5–15%

Elevated friction. A community engagement strategy is recommended before advancing to interconnection deposit.

Tier 3

Opposition 35–60%
Value at Risk 15–30%

High friction. IC review required. Consider alternative sites in the same geography before committing capital.

Tier 4

Opposition >60%
Value at Risk >30%

High opposition risk. Estimated exposure warrants site abandonment unless material mitigants exist.

Opposition probability is a probabilistic opinion analogous to a credit rating, not a legal opinion or permitting guarantee. See full methodology disclaimer.

Research Foundation

Every variable category is grounded in peer-reviewed academic literature.

What makes this model defensible is the weighting logic and the labeled outcome dataset behind it, both built in-house.

Stokes et al. (2023, PNAS)

Community sentiment and political climate are the primary predictors of opposition in North American renewable energy siting datasets.

Susskind et al. (2022, Energy Policy)

Procedural history and prior permitting outcomes are stronger opposition predictors than ideology or demographic composition.

Löw-Beer et al. (2025, Nature Communications)

Explicit benefit-sharing and early community engagement significantly reduce organised opposition rates across multiple datasets.

Access & Pricing

Founder-led paid pilots opening Q3 2026 · Per-site pricing to follow