Now piloting · Public launch Q4 2026

Predict. Optimize. Maximize.

AI-powered solar energy optimization that predicts your energy needs 72 hours in advance, turning sunlight into savings with intelligent automation. Join our early pilot homes and businesses shaping the future of energy—today.

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Self-Consumption

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Advance Prediction

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Cost Reduction

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Pilot Homes

Solar panels with AI visualizationModern solar installationSustainable energy future

Built for Utilities, Installers & Property Managers

SolarFlow is the platform organizations use to deploy predictive solar optimization at scale—one dashboard, thousands of connected systems.

Utilities & Energy Cooperatives

Balance grid load and reduce peak demand by coordinating predictions across every connected member household.

Installers & Integrators

White-label SolarFlow's prediction engine into your own install base and offer clients smarter systems from day one.

Property Managers

Cut common-area and shared-system energy costs across apartment complexes, HOAs, and commercial portfolios from one console.

Buyers & Suppliers

Integrate demand forecasting into energy trading and hardware supply decisions with reliable, real-time consumption data.

For individual homeowners: this is what it looks like on the ground—every member household connected through an organization gets its own predictive dashboard, automated savings, and 72-hour energy forecasts, powered by the same platform above.

Our Solutions

Intelligent systems designed to maximize your solar investment

Predictive Analytics

72-hour energy forecasting powered by machine learning algorithms that analyze weather patterns, seasonal trends, and your unique consumption habits.

Smart Optimization

Automated energy management that balances solar production, battery storage, and grid usage to minimize costs and maximize self-consumption.

Real-Time Monitoring

Live dashboard with actionable insights, performance metrics, and personalized recommendations accessible from any device, anywhere.

Our Impact

Early results from the homes and businesses we've optimized so far

Environmental impact
1

12+ Tons CO₂ Reduced

Equivalent to taking 3 cars off the road for a year

2

$13,500+ Saved for Families

Average household saves ~$450 per year on energy bills

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98% Customer Satisfaction

Early users report real gains in energy independence

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30+ Pilot Homes

Growing across early pilot deployments, with more onboarding every month

Powerful Features

Everything you need to take control of your energy future

Weather-Aware AI

Integrates hyperlocal weather forecasts to optimize energy production

Cost Optimization

Automatic scheduling to use solar during peak rate hours

Smart Alerts

Proactive notifications about energy anomalies and opportunities

Performance Analytics

Detailed reports on savings, production, and consumption trends

Grid Integration

Seamless coordination with utility providers and net metering

Bank-Level Security

Enterprise-grade encryption protecting your energy data

What Our Customers Say

Real stories from real people transforming their energy independence

Wilfred Kofi

Homeowner, Ghana

"SolarFlow reduced my energy bills by 52% in the first year. The predictive analytics are incredible—I always know exactly how much power I'll have. Best investment I've made for my home."

Okon Effiong

Business Owner, Nigeria

"Our warehouse operations are now completely optimized around solar production. The AI scheduling feature alone saves us thousands monthly. It's like having an energy manager working 24/7."

Florence Akanji

Homeowner, Florida United States

"I love the mobile app! I can monitor my solar production from anywhere and get alerts when there are optimization opportunities. The system practically runs itself. Highly recommend to everyone!"

Meet the Innovators

Passionate experts driving the future of solar energy

Engr. Joseph Fasasi

Engr. Joseph Fasasi

CEO & Co-Founder

Leads product and strategy, building SolarFlow around real customer energy needs.

Tomisin Afonja

Tomisin Afonja

CTO & Co-Founder

Leads engineering and the AI models behind SolarFlow's 72-hour forecasting.