The intelligent control plane for EV charging networks
Bridge OCPP interoperability gaps, optimize grid-aware charging, and orchestrate your entire network with AI — without rebuilding your CSMS.
Trusted by forward-thinking operators across the eMobility ecosystem
The charging industry is hitting infrastructure limits
As EV adoption accelerates, operators face compounding technical debt, interoperability gaps, and operational complexity that legacy systems cannot address.
CSMS locked on OCPP 1.6
Most backend systems still run OCPP 1.6, unable to leverage modern charger capabilities without a costly full migration.
New chargers require OCPP 2.x
Next-generation chargers ship with OCPP 2.0.1 and 2.1 — creating a growing compatibility gap with legacy infrastructure.
Migration costs are prohibitive
Rebuilding a CSMS backend for OCPP 2.x compliance demands significant engineering investment and operational risk.
Networks too complex to manage manually
Multi-site, multi-city charging networks generate operational complexity that exceeds human decision-making capacity.
Smart charging alone is not enough
Traditional load balancing lacks grid awareness, energy price optimization, and predictive maintenance intelligence.
No predictive intelligence at scale
Operating hundreds of chargers across locations requires AI-level orchestration for availability, cost, and performance.
Three layers of intelligence for modern charging networks
From protocol translation to full AI orchestration — deploy the capabilities you need today and scale as your network grows.
OCPP Reverse Proxy / Virtual CSMS
Bridge the future of charging without rebuilding your CSMS.
A protocol translation gateway that enables OCPP 2.1 chargers to communicate seamlessly with your existing OCPP 1.6 backend. Deploy next-gen hardware today while planning your migration on your own timeline.
Eliminate migration urgency — connect modern chargers to legacy systems instantly.
AI Grid-Aware CSMS
Transform charging infrastructure into an intelligent, grid-aware energy system.
A dynamic intelligence layer that optimizes charging sessions based on real-time grid constraints, energy pricing, traffic patterns, and user behavior. Move beyond static load management.
Reduce energy costs by up to 40% while improving charger availability.
AI Agent Optimization Layer
An AI control layer above any CSMS.
An agentic AI platform that sits above any existing CSMS to orchestrate multi-site, multi-city charging networks. Optimizes availability, maintenance, smart charging, operations, and user experience at scale.
Unlock network-wide intelligence without replacing your existing infrastructure.
Seamless integration with your existing stack
Our solutions layer on top of your current infrastructure — no rip-and-replace required.
OCPP Protocol Translation
Modern Chargers
OCPP 2.1
Greenfinops Reverse Proxy
Virtual CSMS
Your CSMS
OCPP 1.6
The reverse proxy translates OCPP 2.1 messages from modern chargers into OCPP 1.6 format your backend already understands.
AI Orchestration Layer
Any CSMS
Existing backend
Greenfinops AI Layer
Agentic orchestration
The AI agent layer plugs above any CSMS to deliver network-wide intelligence across all your sites and cities.
Measurable outcomes for charging operators
Every solution we build is designed to deliver tangible operational and financial benefits from day one.
Defer migration costs
Keep your OCPP 1.6 backend running while connecting modern 2.1 chargers — migrate on your own schedule.
Deploy new hardware faster
Onboard next-gen chargers in days instead of months, regardless of protocol version.
Reduce CAPEX significantly
Avoid the multi-million cost of a full CSMS rebuild by using an intelligent translation layer.
Optimize grid utilization
AI-driven load management ensures maximum efficiency across your electrical infrastructure.
Maximize charger uptime
Predictive maintenance and intelligent routing keep your network available when drivers need it.
Cut operational costs
Automated decision-making reduces manual intervention and optimizes energy procurement.
Progressive OCPP 2.x transition
Build a clear migration path from 1.6 to 2.1 without operational disruption.
AI-piloted network operations
Transform your charging network from a static asset into an intelligent, self-optimizing system.
Built for real-world charging challenges
See how operators across the eMobility ecosystem leverage our platform to solve critical infrastructure problems.
CPO with legacy CSMS
Scenario
A charge point operator running OCPP 1.6 wants to deploy modern OCPP 2.1 chargers across new locations.
Solution
Our reverse proxy enables immediate deployment of new hardware while the existing backend continues operating unchanged.
Outcome
New chargers online in days, zero backend modifications required.
Multi-site operator
Scenario
An operator managing 500+ chargers across 40 locations needs to optimize power distribution and energy costs.
Solution
The AI Grid-Aware CSMS dynamically balances load across sites based on real-time grid conditions and energy pricing.
Outcome
Up to 40% reduction in energy costs with improved charger availability.
OEM / System integrator
Scenario
A charger manufacturer needs a compatibility layer to ensure their OCPP 2.1 hardware works with any customer CSMS.
Solution
The virtual CSMS provides a universal translation layer, making their hardware backward-compatible out of the box.
Outcome
Broader market reach with guaranteed interoperability.
Urban charging network
Scenario
A city-wide charging network operator wants AI-driven orchestration across hundreds of public charging points.
Solution
The AI Agent Layer provides network-wide intelligence for maintenance, availability, and user experience optimization.
Outcome
Predictive maintenance, optimized utilization, and superior driver experience.
Make your charging infrastructure intelligent
Whether you need OCPP interoperability, grid-aware optimization, or full AI orchestration — let's discuss how Greenfinops.ai can accelerate your network's evolution.