The 2026 State of EV Charging Network Operators Report is now available for immediate download.

The Intelligence Layer
for EV Charging Operations

Turn Years of Cross-Network Data into Operational Excellence

Higher Uptime

Maximize Profitability

Lower Energy Costs

Scale With Confidence

Intelligence is Only as Good as the Data Behind It.

Most platforms have added AI features. Driivz has spent years accumulating what no other player can replicate — cross-network benchmarks, driver patterns, real-time energy signals, and hardware intelligence from the world's largest managed charging deployments.

4B+

Data points across global networks

100TB+

Real-world EV charging data

1,000+

Unique data fields per session

3M+

Ports on the platform

6M+

Drivers on the platform

70M

Transactions processed annually

Market Benchmarks

Driivz aggregates anonymized data across dozens of tier-1 charge point providers and thousands of sites globally.

Pricing performance
Driver charging patterns
Session success rates
Utilization rates
Energy consumption patterns

From Intelligence to Impact
Across Every Layer of your Operation

Higher uptime and utilization

Faults detected and classified before a driver reports them. Corrective actions suggested automatically.

Lower energy costs

Demand charges reduced. Profit per kWh optimized. Charging smart, not just charging more.

Faster incident resolution

AI-assisted root cause analysis resolves incidents significantly faster than manual investigation.

Reduced support burden

Driver tickets resolved autonomously by correlating session logs and historical resolutions.

Scale without headcount growth

The intelligence layer handles complexity that would otherwise require linear increases in ops staff.

Smarter expansion decisions

Market benchmarks guide where to add chargers - not just whether to. Backed by cross-network real-world data.

Higher Uptime and Utilization

Faults detected and classified before a driver reports them. Corrective actions suggested automatically.

Lower Energy Costs

Demand charges reduced. Profit per kWh optimized. Charging smart, not just charging more.

Faster incident resolution

AI-assisted root cause analysis resolves incidents significantly faster than manual investigation.

Reduced support burden

Driver tickets resolved autonomously by correlating session logs and historical resolutions.

Scale without headcount growth

The intelligence layer handles complexity that would otherwise require linear increases in ops staff.

Smarter expansion decisions

Market benchmarks guide where to add chargers - not just whether to. Backed by cross-network real-world data.

Intelligence Layer That Works

Proactive Diagnostics - First-Time-Right Charging

The AI layer interprets OCPP messages and classifies every fault - hardware, firmware, user, or vehicle - in seconds. It correlates firmware versions with success rates across the entire cross-network dataset, catching patterns no single operator's data could reveal.

Root cause identified before the next driver is affected

Firmware issues resolved proactively, not reactively

Higher utilization and driver satisfaction

Energy Cost Optimization - Charging Smart, Not Just Charging More

The Driivz EMS Calculator analyzes meter data, demand charges, and regional electricity costs to recommend the optimal power level for each site - maximizing profit per kWh, not just throughput. Because charging more doesn't automatically mean earning more.

Demand charges reduced without cutting charging capacity

Higher profit per kWh — grounded in real site consumption data

Smarter pricing decisions backed by cross-network benchmarks

Dynamic Peak Shaving Calculator - Driivz

Network Intelligence - Ask Your Network Anything, In Plain English

The Driivz Multi-Agent System translates plain-language questions into live queries across your entire network - returning answers in real time, with charts, trends, and follow-up context. No technical background required. The same dataset, shaped instantly to whoever is asking - operations, billing, commercial, or leadership.

"Where do I have utilization issues this month?"

"Which sites have the highest rate of failed sessions by hardware manufacturer?"

"What's my revenue per charger compared to last quarter?"

Trusted By Leading Global Charging Networks

AI You Can Deploy, Audit, and Defend to Your IT and Compliance Teams

Read-only Governance

AI recommends. Humans approve. No configuration changes without explicit sign-off.

GDPR/ISO27001/SOC

Data is transient — processed for real-time analysis only. Not stored by external AI providers.

Full Audit Trail

Every AI-assisted action logged under specific user credentials. Compliance-ready by design.

Data Never Trains External Models

Your operational data stays yours. Not used to train any external AI provider's models.

Frequently Asked Questions

Driivz AI is an intelligence layer for EV charging operations that uses real-world data from global charging networks. It supports more successful charging, smarter energy use, and deeper insight into network performance. By turning operational data into business insight and comparing it with industry benchmarks, Driivz AI helps operators increase uptime, lower energy costs, reduce the time spent investigating and resolving issues, maximize profitability, and scale without adding more manual work.

By continuously analyzing anonymized EV charging data, Driivz AI detects and diagnoses issues before they affect drivers. It interprets OCPP messages, classifies faults, and identifies patterns across charger models, firmware versions, sites, and charging sessions to pinpoint likely root causes. This gives operators the ability to resolve problems faster, reduce reliance on manual log analysis, improve overall charging success as well as first-time-right success rates, and minimize charger downtime.

The Driivz EMS Calculator analyzes meter data, regional electricity rates, demand charges, and charging patterns to recommend the optimal power level for each site. Driivz energy management capabilities can then manage charging loads and coordinate available energy resources to prevent costly demand spikes without reducing charging capacity. This helps operators lower energy costs, increase profit per kilowatt-hour, and make better use of existing infrastructure.

Users across the business can ask Driivz AI questions in plain language and get insights without technical expertise or waiting for a new report. For example, operations teams can highlight sites with declining utilization, uptime, or charging success. Billing and finance teams can compare revenue by charger, investigate payment or session issues, and evaluate profitability. Business and leadership teams can identify trends, leverage benchmarks, assess risks, and guide investment or expansion decisions.

Driivz AI is built on an enterprise-grade platform with encryption, role-based access, secure development practices, and continuous monitoring. AI-assisted actions are logged, and customer data is not used to train external AI models. Driivz is also ISO 27001 certified and has completed a SOC 2 Type II audit.

Driivz AI draws on years of real-world experience across large charging operations around the world. This broader view helps operators discover patterns they may not see in their own data and compare performance with industry benchmarks. The result is more useful insight for improving reliability, controlling energy costs, and making better business decisions at scale.