TekMindzLet’s grow with Trust

E-Mobility & Energy Intelligence

Connect the network.
Coordinate the operation.

Software engineering for charging networks, electric fleets, and connected energy assets. Bring fragmented operations into a more useful view.

Discuss Your Charging Platform
A connected energy districtAn original isometric illustration of charging stations, a fleet depot, solar panels, battery storage, and enterprise buildings linked through a software layer.
Distributed energySolar · Storage · Site assets
Intelligence layerData · Decisions · Workflows
Connected mobilityChargers · Fleets · Operations
  • Charging & fleets
  • Energy assets
  • Enterprise systems
CONNECTED ECOSYSTEM · CONCEPTUAL ILLUSTRATION

For charge point operators, eMSPs, charger manufacturers, fleet operators, and energy businesses.

The operational challenge

More connected assets. More operational complexity.

Chargers, vehicles, site capacity, and business systems each tell part of the story. When they operate in isolation, teams have to reconcile data and priorities by hand.

Build around the whole operation.

We propose a connected software architecture that starts with your existing assets and operating model. Define dependable integrations, make exceptions visible, and introduce coordination where the site and equipment allow it.

What we can build together

A focused scope. A connected approach.

Proposed capabilities to explore during discovery. Final scope follows your systems, priorities, and implementation constraints.

01

Charging platforms

Connect the operator, driver, and charger experience through purpose-built platforms and integrations.

  • Charge management and remote operations
  • OCPP and OCPI integration planning
  • Driver apps, tariffs, and reconciliation
Explore Charging platforms
02

Fleet & depot operations

Plan charging around the vehicles that need to leave, the energy available, and the way your depot works.

  • Readiness and charging visibility
  • Schedules and power allocation
  • Fleet and telematics integrations
Explore Fleet & depot operations
03

Energy OS

Explore a proposed orchestration layer for charging, site assets, and operational data.

  • Site and multi-site monitoring
  • Policy-based recommendations
  • Compatible, permitted control
Explore Energy OS
04

AI for mobility & energy

Evaluate forecasting, fault triage, anomaly detection, and operator assistants against your operational baseline.

  • Demand and load forecasts
  • Maintenance recommendations
  • Source-grounded operator assistance
Explore AI for mobility & energy

Offerings are proposed engagement scopes. Protocol versions, asset compatibility, data availability, and control permissions are confirmed during discovery. No protocol certification is implied.

AI for mobility & energy · Proposed use cases

Operational intelligence, with oversight.

Start with representative data, a defined evaluation baseline, and the decisions your operators need to make.

Demand & load forecasting

Evaluate charging-demand and site-load forecasts against historical data and a simple baseline.

Fault triage & maintenance

Use fault history and equipment documentation to suggest diagnostic steps and maintenance priorities for review.

Session & energy anomalies

Surface unusual charging sessions and consumption patterns for operator investigation.

Charging & energy schedules

Compare scheduling recommendations with departure priorities, tariffs, and configured site constraints.

Grounded operator assistance

Help operators find referenced answers in approved manuals, procedures, and authorized operational data.

Capacity scenarios

Explore site expansion and charging-capacity scenarios, with assumptions and data gaps made explicit.

Evaluate first. Keep responsibility clear.

Review accuracy and operational usefulness during a supervised pilot. Consequential actions require human approval unless a bounded, compatible control policy has been explicitly scoped, reviewed, and permitted. Recommendations are not guaranteed outcomes.

Intended value

Know what the next
phase should prove.

Define a useful outcome before the build. Evaluate the result against an agreed baseline.

01

A shared operational picture across teams and sites.

02

Charging decisions that reflect business priorities.

03

A measured path from visibility to coordination.

A little more clarity

Good questions.
Straight answers.

Can you work with an existing charging platform?

Yes. An engagement can start with architecture review, a specific integration, testing, or modernization. Discovery establishes the system boundaries and a practical delivery scope.

Is Energy OS an available product?

Energy OS is a proposed solution concept, not a commercially available off-the-shelf TekMindz product. Capabilities and delivery are defined for each engagement.

How would AI recommendations be checked?

Agree on a baseline, use representative historical data, test against operational constraints, and run a supervised pilot. Operators approve consequential actions unless a bounded control policy has been explicitly agreed.

Let’s build what’s next

Let’s work through your next challenge.

Tell us what you’re building, connecting, or trying to improve. We’ll start with the right questions.

Discuss Your Charging Platform