# 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.