Site Selection & Revenue Optimization
Choosing the wrong location for an EV charging station can mean years of underutilization and poor ROI. Our AI agents continuously analyze traffic patterns, EV adoption rates, competitor density, grid proximity, land costs, and demand forecasts to identify the highest-revenue sites.
Whether you are an OEM planning a nationwide charging network or a charging point operator (CPO) expanding in a specific city, our platform delivers ranked, actionable site intelligence — so every installation decision is backed by data.
Discuss Your Site StrategyWhat Our Agents Analyze
- Daily and hourly EV traffic density by location
- EV adoption forecasts by district and corridor
- Competitor charging network gaps and overlap
- Grid connection availability and capacity
- Land use, zoning, and permitting feasibility
- Proximity to highways, malls, commercial hubs
- Revenue potential modelling per site
Utilization Intelligence for Existing Infrastructure
Many deployed EV charging stations operate at a fraction of their capacity — not because demand is absent, but because demand is invisible. Our agents surface demand patterns, peak usage windows, and user behavioral signals to help operators maximize the value of their installed base.
We identify underperforming stations, diagnose root causes (poor visibility, wrong location, pricing), and recommend targeted interventions — from dynamic pricing adjustments to targeted marketing of specific stations to nearby EV drivers.
Improve Your UtilizationUtilization Capabilities
- Real-time and historical utilization monitoring
- Demand forecasting by time-of-day and season
- Underperforming station root cause analysis
- Dynamic pricing recommendation engine
- Nearest driver targeting and push notifications
- Revenue uplift simulation for each station
Consumer-Level Charging Intelligence
Range anxiety remains a top barrier to EV adoption. We provide hyper-local, real-time intelligence to end consumers — telling them not just where to charge, but when to charge, which stations are available, and how long to plan for based on their journey.
Our city-level intelligence (e.g., Las Vegas, Bengaluru, Delhi NCR) pinpoints available charging infrastructure with accuracy, availability forecasts, and personalized recommendations — reducing consumer anxiety and increasing overall network utilization.
Build Consumer IntelligenceConsumer Intelligence Features
- City-level and street-level charging availability maps
- Real-time station status and wait time forecasts
- Route-aware charging recommendations
- Personalized charging schedule suggestions
- Off-peak incentive intelligence
- Multi-network aggregation and comparison
Who We Serve
Our EV charging intelligence platform serves stakeholders across the full charging ecosystem.
OEMs & Automakers
Site strategy for branded charging networks aligned with vehicle sales geography.
Charging Point Operators
Data-driven expansion planning and utilization optimization across their network.
Fleet Operators
Route-optimized charging stops and depot siting for EV commercial fleets.
City Planners & Government
Equitable EV infrastructure placement to maximize adoption and reduce grid stress.
App & Platform Developers
Location intelligence APIs powering EV apps with real-time and predictive data.
Real Customer Installations
We have delivered EV charging intelligence and support for real-world installations across India — including with Adani Total Energies.
Get in Contact with Us
Tell us about your EV charging challenge and we'll show you how location intelligence can change the game.