A cognitive, governed, self-learning system for the renewable engineering lifecycle.
Heliorix combines a cognitive engine, governed execution, and self-learning intelligence in a single platform. Purpose-built for renewable projects—powering better decisions from discovery to financial close.
From discovery to financial close. One connected system.
Discovery & Siting
Available NowFind parcels, analyze constraints, generate AI portfolios, assess, and rank high-quality sites.
Layout
Coming NextGenerate PV layouts using topography, ECR, DC equipment assumptions, and terrain data.
Electrical
Coming NextDesign strings, inverter blocks, collect flows, calculate line sizing, and optimize layouts.
Energy
Coming NextEstimate production, losses, performance ratio, capacity factor, and revenue impact.
Financial
Coming NextEstimate CapEx, OpEx, revenue, IRR, LCOE, payback, incentives, and returns.
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
What if we prioritize sites with a shortened interconnect queue and tax credits that include safe harbor?
Here's an updated view that reflects your scenario.
| Site | P50 | Queue | Safe Harbor |
|---|---|---|---|
| Site A | 248.9 MW | 2.1 mo | Yes |
| Site B | 241.2 MW | 6.8 mo | Limited |
| Site C | 230.8 MW | 9.4 mo | No |
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.