The AI-Powered Platform for Solar Discovery & Siting.
Map-first workflows, rich data layers, and conversational AI help teams find the right sites, understand constraints, define buildable or usable areas, and make stronger early-stage decisions.
Everything starts and stays in context on the map.
Ask, analyze, and act—right inside your project.
All findings, areas, and insights live in one place.
One Platform to Discover, Analyze, Design, and Move Solar Projects Forward.
Discover Opportunities
AI-PoweredIdentify high-potential opportunities across utility-scale sites, rooftops, and parking areas.
Understand What's Viable
Site IntelligenceBring site, environmental, structural, and project constraints together to understand what can actually be developed.
Design with Confidence
Interactive DesignTurn viable areas into optimized solar layouts using AI-assisted engineering and interactive design tools.
Make a Confident Site Decision
Project InsightsBring site intelligence, designs, assumptions, and project insights together to make confident development decisions.
Two Workspaces. One Shared Project State.
Visual Workspace
- Search parcels and layers
- Draw boundaries, isoports, and layout areas
- Analyze constraints and buildability
- Review findings directly on the map
Conversational Workspace
- Search sites from natural language
- Compare candidates and trade-offs
- Generate or modify project outputs
- Ask for rationale and recommendations
Heliorix Intelligence Layer
Cognitive reasoning across every stage of the engineering lifecycle.
Genesis Engine
Turn raw data—landscapes, ECRs, and engineering rules—into accurate, actionable site context.
coGIS Engine
Apply spatial analysis, slopes, aspect, grid, and land data at scale, with explicit context to power site intelligence.
Predictive Engine
Capture uncertainty, simulate scenarios, and generate insights that reduce risk.
Compliance Engine
Check engineering, environmental, and regulatory requirements—validate conflicts and explore why they fail.
AOR Ledger
Records actions, assumptions, decisions, and results for complete audit and reliable project state.
Built for Trusted Decisions and Continuous Improvement.
Cognitive Reasoning
Understands project context, spatial inputs, engineering rules, and user intent to deliver explainable recommendations.
Self-Learning System
Improves through project history, rulepacks, feedback loops, and reusable knowledge—continuously raising accuracy.
Governed Execution
Outputs and actions are validated, versioned, and controlled—ensuring quality, compliance, and accountability.
AOR Decision Trail
Complete traceability of inputs, assumptions, actions, and results for audit, assurance, and stakeholder confidence.
A smarter way to engineer renewables.
Cognitive. Governed. Self-Learning.
Built for better projects and stronger returns.