The Solar Grid Is Unpredictable. Our AI Isn't.
SphereInc turns your solar assets into intelligent, adaptive networks — with AI that forecasts generation, prevents failures, and maximizes every kilowatt-hour.
Trusted by Leading Enterprises
Solar's biggest enemy is variability
1. Weather Unpredictability
A 15% cloud coverage drop can mean 40% generation loss, requiring expensive fossil-fuel backup to spin up in minutes.
2. Silent Panel Degradation
Micro-cracks and hotspots invisible to the naked eye reduce output 8–15% before any alarm triggers. By then, the loss is months old.
3. Suboptimal Storage Dispatch
Manual or rule-based battery dispatch leaves up to $180/MWh on the table when real-time price signals go unread.
Our Solutions
Four AI systems
One intelligent solar operation
Each module works standalone or as an integrated platform — connecting forecasting, maintenance, storage, and design into a single AI brain.
Smart Forecasting & Grid Management
See 48 hours ahead. Act in real-time.
Our AI models fuse satellite imagery, hyper-local weather data, and historical generation patterns to deliver the most accurate short-term solar forecasts available — enabling utilities to pre-position grid resources and eliminate costly emergency backup.
94% — day-ahead forecast accuracy, validated across 12 utility deployments
- 48-hour generation forecasts at sub-15-minute intervals
- Virtual Power Plant (VPP) aggregation across thousands of rooftop systems
- Automatic demand-side balancing to reduce fossil-fuel peaker reliance
- SCADA and EMS integration via standard APIs
Predictive Maintenance
Fix problems before they cost you.
Legacy maintenance is reactive — a panel breaks, you fix it. SphereInc flips the model. Our AI continuously analyzes thermal drone imagery, IV curve data, and environmental conditions to surface faults weeks before they cause measurable generation loss.
30% — average reduction in unplanned downtime events per year
- Drone-based thermal imaging analyzed by computer vision models
- Micro-crack and hotspot detection invisible to the human eye
- AI-scheduled robotic cleaning when soiling losses exceed cleaning cost
- Maintenance ticket routing into your existing CMMS
Energy Storage Optimization
Charge low. Dispatch high. Always.
Battery storage is only as smart as its dispatch logic. SphereInc's AI reads real-time wholesale prices, grid frequency signals, and 48-hour weather forecasts simultaneously — making charge/discharge decisions that maximize revenue and extend battery cycle life.
12%+ — reduction in operational costs through intelligent dispatching
- Real-time price arbitrage across day-ahead and real-time markets
- Frequency regulation and ancillary services optimization
- Battery degradation modeling to extend asset life by 15-20%
- Supports BESS, flow batteries, and hybrid storage configurations
Advanced System Design
Optimize before a single panel ships.
Development decisions made at the design stage determine 20 years of project returns. SphereInc's geospatial AI analyzes terrain, shading, grid interconnect proximity, permitting complexity, and land cost to identify the most profitable configuration before any capital is committed.
8–14% — increase in project IRR vs. conventional design methods
- Automated 3D site modeling from aerial and satellite imagery
- Geospatial land scoring across terrain, grid distance, and cost layers
- Layout optimization for maximum capacity factor and reduced BOS costs
- Bankable yield assessments integrated with financial modeling
Deploy in weeks, not quarters
Connect your data
We integrate with your existing SCADA, EMS, CMMS, and historian systems via standard APIs. No forklift required.
AI learns your assets
Models train on your historical generation, maintenance events, and market data. Baseline established in 2–4 weeks.
Recommendations go live
Forecasts, maintenance alerts, and storage dispatch signals surface in your existing dashboards or our unified interface.
Continuous improvement
Every new data point sharpens accuracy. SphereInc's models improve as your fleet grows — compounding returns over time.
Connect your data
We integrate with your existing SCADA, EMS, CMMS, and historian systems via standard APIs. No forklift required.
AI learns your assets
Models train on your historical generation, maintenance events, and market data. Baseline established in 2–4 weeks.
Recommendations go live
Forecasts, maintenance alerts, and storage dispatch signals surface in your existing dashboards or our unified interface.
Continuous improvement
Every new data point sharpens accuracy. SphereInc's models improve as your fleet grows — compounding returns over time.
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Business Impact
The numbers that
close the business case
Quantified outcomes from commercial and utility-scale deployments across North America and Europe.
Utilities use our 48-hour ahead forecasts to reduce fossil-fuel spinning reserve requirements by up to 35%, lowering grid operating costs for the entire network.
Combining predictive maintenance savings, optimized storage dispatch, and avoided curtailment losses across a typical 100MW portfolio.
Most commercial asset owners recover their full SphereInc subscription cost within 6 months of go-live, with ROI accelerating as models continue to improve.
Predictive maintenance customers report an average 30% reduction in unplanned downtime events in their first full operating year.
AI dispatch logic reduces full-cycle counts by optimizing partial charge/discharge cycles, materially extending BESS asset life.
Developers using SphereInc's Advanced System Design module consistently outperform conventional design methods on project internal rate of return.
Hear From
Our ClientsHear From Our Clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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Luke Suneja
Client Partner
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Sphere in Numbers
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Your solar assets are smarter than
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Let SphereInc show you exactly how much value is sitting untapped in your existing fleet — in a 45-minute live session with your own data.