SOMERVILLE, Mass. — SparkCharge is launching SparkAI, an AI-driven charging infrastructure planning platform specifically designed for commercial EV fleet deployments.
“SparkAI isn’t just about faster planning, it’s about smarter energy deployment,” said Joshua Aviv, founder, CEO of SparkCharge. “Right now, we’re channeling that precision into EV charging, helping fleets electrify without overloading the grid. But the bigger opportunity is optimizing how and where energy flows, for EVs and beyond. It’s a smarter grid strategy, powered by real-time intelligence.”
According to a company press release, the platform combines real-world intelligence, project location-specific datasets, weather forecasts, and a comprehensive global EV database to create optimized charging infrastructure plans for fleet owners and operators. SparkAI is immediately available for streamlined, intelligent infrastructure planning across the United States, Canada and Mexico.
Reducing Capacity Limitations
“Today, more than 80% of electrification projects face grid capacity limitations that can delay deployments by 18 to 24 months,” SparkCharge said. “Traditional infrastructure planning is slow, fragmented, and heavily reliant on costly utility upgrades. SparkAI eliminates these delays through a proprietary enterprise-grade AI model capable of performing thousands of energy simulations instantly. The system accounts for fleet composition, local weather conditions, terrain, and available power sources to deliver precise, site-specific configurations, helping fleets deploy scalable infrastructure in as little as 3 days without overloading the grid.”
Alleviating Grid Strain and Supporting AI Economy
Beyond fleet electrification, SparkAI enables intelligent energy distribution that supports broader grid stability. By prioritizing location efficiency, energy independence, and load balancing, SparkAI helps free up grid capacity and reduce peak demand, directly benefiting energy-intensive sectors such as AI computing and data centers. SparkCharge’s mobile battery trailers and off-grid power hubs can be deployed anywhere to stabilize remote grid-limited regions, according to the release.
Real-Time, Real-World Intelligence
“SparkAI’s intelligence engine cross-analyzes live environmental and geographic data against energy demand forecasts to calculate exact power requirements per site,” SparkCharge said. “This gives operators AI-driven energy independence in areas previously considered uneconomical for electrification—rural regions, congested areas, industrial zones, and aging grid corridors. The platform can also design hybrid and off-grid charging systems that scale dynamically with fleet growth, allowing users to bypass traditional grid bottlenecks entirely.”
Smarter Planning, Lower Energy Costs
According to the release, SparkAI helps fleet operators reduce total infrastructure and operating costs by 15–30% through accurate forecasting and intelligent system sizing. By preventing both costly overbuilding and energy shortfalls, SparkAI improves asset utilization, lowers exposure to peak utility rates, and enables fleets to leverage off-grid or hybrid energy sources at a fraction of the traditional cost.
“SparkAI is a game-changer for infrastructure ROI,” said David Piperno, CFO, SparkCharge. “By eliminating over-provisioning and planning delays, we’re helping fleets reduce capital expenditures while accelerating deployment timelines. It’s not just about planning faster, it’s about deploying smarter and scaling profitably.”
Dana Guthrie is an award-winning journalist who has been featured in multiple newspapers, books and magazines across the globe. She is currently based in the Atlanta, Georgia, area.
