Why your solar setup underperforms — AI sizing, runtime & cost planner

Homeowners and installers waste money on mis-sized solar+storage. An AI-driven planner predicts what you can run, for how long, and the true cost—using satellite, load profiles and inverter telemetry to output right-sized systems and quotes.

86Score

Target Audience

Primary: owner-occupied homeowners considering new solar or battery installs and current solar owners who want to optimize/expand; Secondary: small solar installers and energy consultants who need fast, accurate system sizing and cost quotes; Enterprise: large installer networks, utility partners and procurement platforms.

Market Size

$45.0B = 15M annually addressa...

Competition

medium

Key Pain Points

data access/privacy -- reliance on inverter telemetry and homeowners' data requires clear opt-in flows and robust privacy controls
low switching cost / easy copy -- core modeling can be replicated by established players or open-source tools without data moat
regulatory variability -- permitting, interconnection and incentive rules differ by region and can limit product fit

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OVERALL

8.6Great

Market Validation

Demand

~18K/mo*

Competition

medium

Growth

15-25% = residential solar + battery adoption CAGR in developed markets*

Market Size

$45.0B

Market Opportunity

Why your solar setup underperforms — AI sizing, runtime & cost planner targets a $45.0B = 15M annually addressable residential installs x $3,000 average lifetime spend on design, software-enabled services, and consulting total addressable market with medium saturation and a year-over-year growth rate of 15-25% = residential solar + battery adoption CAGR in developed markets.

Key trends driving demand: distributed-energy-resources -- higher rooftop PV + batteries increases need for correct sizing and runtime prediction; telemetry-proliferation -- smart inverters and home energy monitors provide data to validate models and close feedback loops; precision-mapping -- affordable high-res satellite/LiDAR enables per-rooftop shading and pitch modeling; DIY and comparison shopping -- consumers expect transparent ROI and runtime estimates before purchase.