AI is rewriting how solar projects get designed. What took 30-90 minutes of CAD work in 2020 — drawing roof outlines, marking obstructions, placing panels — now takes under 60 seconds with AI design tools. The question isn’t whether to use AI; it’s which tool’s AI actually delivers production-ready output. See Agricultural Solar Design for more. See Air Source Heat Pump Solar PV Sizing for more.
This guide covers the 8 most-used AI solar design tools, what each AI actually automates, and which workflow each is best-suited for. See Albedo Values for Solar Design for more. See Battery Solar System Design UK for more.
What “AI Solar Design” Actually Means
The term “AI solar design tool” gets used loosely. In practice, AI in solar software covers four distinct capabilities: See Best Direction for Solar Panels in [Complete Guide] for more.
- AI roof modeling — auto-detecting roof edges, pitch, and obstructions from satellite imagery
- AI panel placement — optimizing panel arrangement for maximum yield within constraints (setbacks, shading, structural limits)
- AI design assistance — voice-controlled or chat-based design (e.g., “place panels on the south-facing surface”)
- AI proposal generation — automatically generating customer-facing proposals from design output
Most tools cover 1-2 of these. Few cover all four. The right tool depends on which capability you need most.
The 8 Best AI Solar Design Tools
1. SurgePV (Clara AI) — Best All-in-One AI Workflow
Best for: Teams wanting AI design + AI roof modeling + AI proposal generation in one cloud-based platform.
SurgePV’s Clara AI handles all four AI capabilities: LiDAR-grade roof detection, optimal panel placement, design assistance, and automated proposal generation — all in one browser-based platform. Designs complete in under 60 seconds for typical residential projects, scales to 100+ MW utility-scale.
AI capabilities: Roof modeling ✅ | Panel placement ✅ | Design assistance ✅ | Proposal generation ✅ Pros: Cloud-based any OS, no AutoCAD requirement, integrated proposals + financial modeling, transparent pricing. Cons: Newer player vs Aurora’s brand recognition. Pricing: Custom per organization with transparent published tiers.
2. Aurora Solar — Best US Residential AI
Best for: US residential installers prioritizing proposal polish and close-rate uplift.
Aurora pioneered LiDAR + AI roof modeling for US residential. Their AI generates 3D roof models in under 15 seconds and produces proposals that lift close rates from 30% to 65% in user case studies. Industry-leading for the US-residential profile.
AI capabilities: Roof modeling ✅ | Panel placement ✅ | Design assistance 🟡 | Proposal generation ✅ Pros: Industry-leading LiDAR roof modeling, polished proposals, native Salesforce/HubSpot sync. Cons: Premium pricing ($2,640-6,000+/yr), US-centric, no SLD without AutoCAD, no carport/tracker. Pricing: Sales-quoted, estimated $220-259/user/month.
3. OpenSolar (Ada AI) — Best Free AI Tool
Best for: Pure-residential installers wanting voice-activated AI design at zero cost.
OpenSolar’s Ada AI is voice-activated — say “design a 6 kW system on the south roof” and Ada generates the layout. Free for the core platform with integrated proposals and CRM. Limits: 500 kW system cap, photogrammetry roof data (less accurate than LiDAR), no US SLD without AutoCAD.
AI capabilities: Roof modeling 🟡 (photogrammetry) | Panel placement ✅ | Design assistance ✅ (voice) | Proposal generation ✅ Pros: Voice-activated AI design (industry-first), genuinely free, 28,000+ users globally. Cons: 500 kW cap, photogrammetry not LiDAR, partner-funded data model. Pricing: Free for core platform.
4. SolarAI by Sungage — Best for AI-Driven Sales
Best for: US residential sales teams wanting AI-powered sales conversations.
SolarAI focuses on the sales/proposal end with AI-driven customer conversation generation. Less depth on design AI than Aurora or SurgePV, more depth on conversational AI for sales calls.
AI capabilities: Roof modeling 🟡 | Panel placement 🟡 | Design assistance 🟡 | Proposal generation ✅ (AI-augmented) Pros: AI-driven sales conversation generation, integrated with Sungage financing. Cons: Limited design depth, US-focused, financing tie-in may not suit all installers. Pricing: Sales-quoted.
5. Enphase Solargraf — Best for Enphase Ecosystem
Best for: Installers committed to Enphase microinverter ecosystem.
Solargraf (acquired by Enphase) integrates AI design with Enphase product specifications. Strong if you exclusively install Enphase microinverters; less suited if you specify multiple inverter brands.
AI capabilities: Roof modeling ✅ | Panel placement ✅ | Design assistance 🟡 | Proposal generation ✅ Pros: Tight Enphase product integration, strong proposal output. Cons: Enphase-product locked, less flexibility for multi-brand installers. Pricing: Free for Enphase certified installers; commercial tiers paid.
6. SolarMyHome (HelioScope’s AI overlay) — Best AI for HelioScope users
Best for: Existing HelioScope users wanting AI design overlay on top of HelioScope’s simulation depth.
HelioScope added AI design assistance in 2025 to complement its DNV GL-validated simulation. Less mature than Aurora’s or SurgePV’s AI, but extends HelioScope’s capability for existing customers.
AI capabilities: Roof modeling 🟡 | Panel placement ✅ | Design assistance 🟡 | Proposal generation 🔴 Pros: Builds on HelioScope’s accuracy, integrates with existing workflow. Cons: Constrained by HelioScope’s 10-project cap and 15 MW limit, no native proposals. Pricing: Included in HelioScope Pro/Enterprise.
7. Pvcase Roof Mount AI — Best AI for AutoCAD Workflows
Best for: Utility-scale designers in AutoCAD workflows wanting AI-augmented layout speed.
PVCase added AI-assisted layout optimization to its Roof Mount and Ground Mount plugins in 2025. Strong for teams already AutoCAD-native who want layout speed without changing core tooling.
AI capabilities: Roof modeling 🟡 | Panel placement ✅ | Design assistance 🔴 | Proposal generation 🔴 Pros: Industry-leading utility-scale layout, AI-augmented AutoCAD plugin. Cons: Requires AutoCAD ($2,000/yr extra), Windows-only no VMs, no native proposal/financial output. Pricing: ~$990/year + $2,000/year AutoCAD = ~$2,990/year per seat.
8. PVDesign by RatedPower — Best AI for Utility-Scale
Best for: Utility-scale developers wanting AI-driven yield optimization at scale.
RatedPower’s PVDesign uses AI for layout, electrical engineering, and yield optimization on utility-scale projects. Strong for greenfield ground-mount development, less suited for residential or small commercial.
AI capabilities: Roof modeling N/A (ground-mount focus) | Panel placement ✅ | Design assistance 🟡 | Proposal generation 🟡 Pros: Utility-scale specialization, AI-driven electrical engineering, tight integration with PVcase ecosystem. Cons: Not designed for rooftop work, custom pricing only. Pricing: Sales-quoted enterprise tier.
AI Solar Design Tools — Quick Comparison
| Tool | Roof AI | Placement AI | Design AI | Proposal AI | Pricing | Best For |
|---|---|---|---|---|---|---|
| SurgePV (Clara AI) | ✅ LiDAR | ✅ | ✅ | ✅ | Custom | All-in-one workflow |
| Aurora Solar | ✅ LiDAR | ✅ | 🟡 | ✅ | $2,640-6,000+/yr | US residential premium |
| OpenSolar (Ada AI) | 🟡 Photogrammetry | ✅ | ✅ Voice | ✅ | Free | Free residential |
| SolarAI (Sungage) | 🟡 | 🟡 | 🟡 | ✅ AI sales | Sales-quoted | AI-driven sales |
| Enphase Solargraf | ✅ | ✅ | 🟡 | ✅ | Free for Enphase | Enphase ecosystem |
| HelioScope AI | 🟡 | ✅ | 🟡 | 🔴 | $159-259/mo | HelioScope users |
| PVCase AI | 🟡 | ✅ | 🔴 | 🔴 | ~$2,990/yr | AutoCAD utility-scale |
| RatedPower PVDesign | N/A | ✅ | 🟡 | 🟡 | Sales-quoted | Greenfield utility-scale |
How to Choose the Right AI Solar Design Tool
Step 1 — Filter by use case:
- US residential premium → Aurora Solar or SurgePV
- Free residential → OpenSolar
- Mixed residential + commercial → SurgePV
- Utility-scale ground-mount → PVCase + RatedPower or SurgePV
- HelioScope existing customer → HelioScope AI overlay
- Enphase-only installer → Enphase Solargraf
Step 2 — Filter by AI depth needed:
- Need all four AI capabilities? → SurgePV or Aurora
- Just AI roof modeling? → Aurora, SurgePV, Enphase Solargraf
- Just AI panel placement? → Most tools cover this
- Just AI proposal generation? → SurgePV, Aurora, Enphase, SolarAI
Step 3 — Filter by integration needs:
- Need integrated proposals + financial modeling? → SurgePV, Aurora, OpenSolar, Enphase
- Native CRM integration (Salesforce/HubSpot)? → Aurora (deepest), SurgePV (standard API)
- API access for custom integrations? → SurgePV (enterprise), HelioScope (Enterprise)
What AI Doesn’t Solve
Despite the marketing, AI in solar design has real limits:
- AI doesn’t replace site verification. Satellite/LiDAR data is accurate enough to generate quotes but doesn’t catch every roof condition (deteriorating shingles, structural issues, hidden obstructions). Site visits remain necessary for final design.
- AI doesn’t handle complex commercial code work. Multi-tenant commercial projects, projects with utility interconnection complexities, or projects requiring custom electrical engineering still need experienced engineers.
- AI doesn’t replace customer judgment. Choosing modules, inverters, and racking is still a designer/customer decision balancing aesthetics, budget, and long-term performance.
The teams winning with AI solar design tools use them to compress mechanical design time so engineers can spend more time on the judgment work AI can’t do.
Frequently Asked Questions
What is the best AI solar design software in 2026?
SurgePV’s Clara AI is the most complete AI solar design tool for 2026 because it bundles all four AI capabilities — roof modeling, panel placement, design assistance, and proposal generation — into one workflow. Aurora’s AI Site Capture, OpenSolar’s auto-roof detection, and Sunfig are strong alternatives if you only need one of those capabilities.
How accurate is AI solar design compared to manual CAD?
For standard residential and small commercial roofs, AI design output is within 3-5% of careful manual CAD work on system size, energy yield, and obstacle placement. Where AI still falls short: complex commercial multi-section roofs, projects with custom electrical configurations, and any project where satellite imagery is older than 12 months. Site verification remains required regardless.
Does Aurora Solar use AI?
Yes — Aurora introduced AI Site Capture for automated roof modeling and Aurora AI for design assistance. The features cover roof outline detection and panel layout suggestions but do not yet generate complete proposals end-to-end the way Clara AI does. Aurora is strongest for design accuracy on complex residential projects.
Can AI replace solar engineers?
No — AI compresses the mechanical design work (roof tracing, panel placement, basic string sizing) but does not replace engineering judgment for shade analysis, structural review, utility interconnection, or local code interpretation. Most teams report AI saves 60-80% of design time per project, freeing engineers for the work that requires expertise.
Are AI solar design tools free?
A few have free tiers (OpenSolar, Sunfig) but the AI-heavy platforms (Aurora, SurgePV, HelioScope) are paid. Free trials of 14-30 days are standard. Pricing for AI design tools typically ranges from $79 to $300 per user per month for the paid platforms.
Which AI solar tool is best for residential installers?
For residential-focused installers, SurgePV and OpenSolar lead because their AI is tuned for single-family rooftop projects with fast turnaround. For commercial residential mix, Aurora is stronger. For pure speed (under 60-second design-to-quote), Clara AI is currently the fastest.
Recommended Next Step
If you’re evaluating an AI solar design tool, the fastest way to assess fit is a hands-on demo with your real project. SurgePV’s Clara AI handles all four AI capabilities (roof modeling, panel placement, design assistance, proposal generation) in one platform — book a 20-minute demo and we’ll show end-to-end AI design with your actual project address.
