AI-Powered Platform for EV Charging Site Prediction & Energy Intelligence
Predict profitable locations, optimize charging operations, manage fleets efficiently, and reduce energy costs. All in one unified AI platform.
Gaadin.AI delivers predictive intelligence that helps charge point operators, fleet managers, and commercial sites make smarter, data-backed decisions. Turn EV adoption trends, energy constraints, and operational data into clear ROI and efficiency gains.
30%
Improvement in EV charging utilisation with AI
25%
Reduction in energy costs across
fleets & buildings
40%
Better site ROI through AI-driven location decisions
35%
Peak load reduction using smart energy optimisation
Why Choose Gaadin.AI ?
Gaadin.AI is built for real-world EV and energy challenges. We go beyond dashboards and raw data to deliver predictive intelligence that helps teams anticipate demand, manage constraints, and achieve measurable business outcomes.
AI-First Decision Intelligence
Our platform uses advanced machine learning to forecast EV charging demand, driver behaviour, and energy loads — so you can plan proactively instead of reacting to problems.
Designed for Real-World Grid & Energy Constraints
We factor in grid capacity, peak demand, transformer limits, and dynamic energy tariffs to keep your operations efficient, compliant, and cost-effective.
One Unified Platform for EV & Energy Operations
Eliminate silos by combining location intelligence, charging management, fleet optimisation, and energy balancing into a single AI-powered system.
Focused on Real Business Outcomes
Every feature is designed to reduce costs, improve utilisation, optimise assets, and maximise ROI — delivering clear value for your organisation.
One Unified AI Platform Four Powerful Solutions
Gaadin.AI brings together intelligent tools to support EV charging networks, fleet operations, and commercial energy management. Each solution is built to solve specific challenges while working seamlessly together.
EV Charging Location Prediction & ROI Intelligence
Identify high-potential EV charging locations using AI analysis of mobility data, traffic patterns, EV adoption trends, and grid readiness. Forecast demand, predict utilisation, model revenue and payback periods, and validate ROI before investing capital. Make confident site selection decisions and build a more profitable charging network.
AI-Powered EV Charging Management Platform
Monitor and manage your entire charging network from a single dashboard. Track charger health in real time, optimise utilisation, automate operations, handle billing, and ensure high reliability. Hardware-agnostic and OCPP-compliant, this solution helps CPOs scale efficiently while delivering a seamless experience to EV drivers.
AI EV Fleet Charging Optimization
Forecast charging demand and intelligently schedule sessions for electric fleets. Balance vehicle availability, energy costs, and infrastructure limits to minimise downtime and peak loads. Keep your fleet operational and efficient without overloading sites.
AI-Driven Energy Management for Commercial Sites
Dynamically balance EV charging loads with building and mall energy demands. Use peak shaving and smart load management to lower electricity costs, reduce demand charges, and improve overall energy efficiency while supporting growing EV usage.
Launch Your Own Branded EV Charging Business in Days
Powerful white-label EV charging software with full customization, OCPP compliance, smart energy management, and AI-powered insights — built for CPOs, fleets, real estate, and energy companies.
Key Highlights
Launch in as little as 7–14 days
100% White-Labeled (Your logo, colors, domain, app)
OCPP 1.6 & 2.0.1 Compliant
AI-Powered Analytics & Load Management
Direct payments to your bank account
Get a complete, hardware-agnostic Charge Point Management System (CPMS) under your own brand. Include a fully branded mobile app, admin portal, payment integrations, roaming, and dynamic load balancing — without building anything from scratch.
Seamless Integrations
Gaadin.AI connects with leading payment gateways, charger hardware, and energy systems to provide a flexible and secure ecosystem.
Multi-Payment Gateway Integration
Secure billing, transactions, and reconciliation
OCPP-compliant charger integration
API-driven architecture for easy customisation
Meet Our Team Members
We are a team of engineers, energy experts, and EV professionals building practical AI solutions for the real challenges of electrification. Our mission is to make EV infrastructure smarter, more profitable, and easier to manage.
NITIKA RIKHI
Co-Founder
SANJEEV TRIPATHI
Co-Founder
SHUBHAM KUMAR
CTO
Frequently Asked Questions
Gaadin AI provides AI-powered location prediction, demand forecasting, and ROI intelligence to help businesses deploy profitable EV charging networks. Here you’ll find answers to common questions about our platform, data sources, integrations, and deployment.
Gaadin.AI is an AI-driven platform that helps organisations manage EV charging, energy usage, fleet operations, and location planning using predictive, data-driven intelligence.
Gaadin.AI is built for EV charging operators, fleet owners, utilities, enterprises, commercial buildings, and shopping malls looking to optimise operations and reduce energy costs.
Traditional platforms show data. Gaadin.AI uses AI and predictive analytics to forecast demand, optimise energy load, and support better decisions before issues and costs arise.
Yes. Gaadin.AI helps commercial buildings and malls manage EV charging alongside building energy, reducing peak demand, lowering energy bills, and improving overall efficiency.
Yes. Gaadin.AI is hardware-agnostic and API-driven, designed to integrate with existing EV chargers, energy systems, payment gateways, and enterprise platforms.
Yes. The platform supports multiple payment gateways, multi-currency transactions, billing, and reconciliation, making it suitable for public, fleet, and commercial charging use cases.
Absolutely. Gaadin.AI is built to scale across sites, cities, and regions, supporting different energy tariffs, currencies, and operational models.
You can start by exploring our AI platforms or talking to our experts to discuss your EV charging, fleet, or energy use case.