Generation Siting AI Software

Built for Renewable Energy Developers

From market thesis to ranked site list in minutes. Screen 156M+ parcels, apply your buildability model, and rank viable sites by interconnection access and pricing signals—all in one guided AI workflow. Find better projects, faster, with less wasted capital.

Key Metrics

  • 156M+ US parcels assessed for buildability
  • 88K+ tracked projects
  • 60K+ LMP nodes with pricing signal analysis
  • 25+ Yrs of Enverus energy intelligence built in

The Challenge

The Right Sites Exist.

Finding Them Shouldn't Take Weeks.

Development teams lose critical time sourcing and reconciling data from disconnected tools—land, grid, interconnection, pricing—with no single source of truth. A land-first, analysis-later approach produces pipelines full of unbuildable, low-value positions.

Without Generation Siting

  • Weeks of manual data sourcing
  • Fragmented tools, no single truth
  • Land-first, analysis-later approach
  • Late-stage interconnection surprises
  • Capital committed before grid reality is clear

With Generation Siting

  • Market thesis to site list in minutes
  • One guided AI flow, one source of truth
  • Buildability filtered before outreach
  • Interconnection risk surfaced early
  • Ranked output ready for PRISM® review

Pain Points Solved

Fragmented Data, No Source of Truth

Developers spend countless hours aggregating data from multiple disconnected tools, creating inconsistency and wasted effort.

Slow, Manual Parcel Screening

Screening 156M+ parcels manually is impractical—teams default to land-first approaches that produce low-probability pipelines.

Late-Stage Interconnection Surprises

The biggest risks surface after momentum and capital are committed—interconnection upgrades, congestion exposure, unbuildable sites.

Capital Allocated Without Grid Clarity

Organizations lack reliable insight into how grid realities affect project viability, leading to misallocated capital across the portfolio.

How It Works

Four Steps. One Guided AI Session.

Generation Siting takes you from a blank map to a ranked, scored landowner list—with no GIS expertise required and no manual data reconciliation.

  1. Define Geography & Parameters
    Set your target market, technology type, and project size requirements.

  2. Apply Interconnection Criteria
    Apply proximity and available injection capacity thresholds across 60K+ LMP nodes.

  3. Configure Buildability Model
    Define your slope thresholds, setback requirements, and exclusion layers across 156M+ US parcels.

  4. Apply Pricing Signals
    Layer in 20-year nodal price forecasts and real-time LMP data to evaluate long-term project economics.

Receive Ranked Output

Get a scored landowner list that launches directly into PRISM® for map-based review and team handoff.

Capabilities

Built for How Generation Siting Decisions Actually Get Made

From site origination to stakeholder alignment, Generation Siting connects every step of the early development decision in a single, energy-native AI flow.

AI-Guided Parcel Screening at Scale

Assess environmental, regulatory, and physical buildability across 156M+ US parcels using a customizable buildability model—slope thresholds, setback requirements, and exclusion layers defined by you.

Real-Time Interconnection Intelligence

Filter by interconnection proximity and available injection capacity across 60,000+ LMP nodes to surface grid and network‑upgrade risk early.

Ranked Landowner Output

Receive a scored, ranked list of landowners by buildability, acreage, interconnection proximity, and available capacity—prioritizing outreach based on data, not intuition.

20-Year Nodal Price Forecasts

Apply long-term pricing signals across 60K+ LMP nodes to evaluate site economics early—avoiding locations with high congestion exposure before capital is committed.

Seamless PRISM® Handoff

Results launch directly into a PRISM® workbook for map‑based review, deeper analysis, and team collaboration—no re-entry, no data loss, no switching systems.

88K+ Tracked Projects

BD teams get hyper-specific intelligence backed by primary research since 2008—identifying development geographies, project timelines, and the right counterparties before competitors do.

Why It Matters

The Cost of Late Discovery Is Enormous

With over 90% of queued projects failing to advance, every week spent on a site that fails screening is capital, time, and engineering resources that could have been deployed elsewhere.

Weeks → Minutes

Siting cycle time

Replace a fragmented, weeks-long site screening process into a single, AI-guided flow—completed in one session.

Earlier

Risk identification

Identify interconnection, pricing, and buildability risk early—before capital, time, and credibility are on the line.

Defensible

Capital decisions

Support a repeatable site prioritization framework that leadership can stand behind with boards, investors, and engineering stakeholders.