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
E-Mobility & Energy Intelligence
Software engineering for charging networks, electric fleets, and connected energy assets. Bring fragmented operations into a more useful view.
Discuss Your Charging PlatformThe operational challenge
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.
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
Proposed capabilities to explore during discovery. Final scope follows your systems, priorities, and implementation constraints.
Connect the operator, driver, and charger experience through purpose-built platforms and integrations.
Plan charging around the vehicles that need to leave, the energy available, and the way your depot works.
Explore a proposed orchestration layer for charging, site assets, and operational data.
Evaluate forecasting, fault triage, anomaly detection, and operator assistants against your operational baseline.
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
Start with representative data, a defined evaluation baseline, and the decisions your operators need to make.
Evaluate charging-demand and site-load forecasts against historical data and a simple baseline.
Use fault history and equipment documentation to suggest diagnostic steps and maintenance priorities for review.
Surface unusual charging sessions and consumption patterns for operator investigation.
Compare scheduling recommendations with departure priorities, tariffs, and configured site constraints.
Help operators find referenced answers in approved manuals, procedures, and authorized operational data.
Explore site expansion and charging-capacity scenarios, with assumptions and data gaps made explicit.
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
Define a useful outcome before the build. Evaluate the result against an agreed baseline.
A little more clarity
Yes. An engagement can start with architecture review, a specific integration, testing, or modernization. Discovery establishes the system boundaries and a practical delivery scope.
Energy OS is a proposed solution concept, not a commercially available off-the-shelf TekMindz product. Capabilities and delivery are defined for each engagement.
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
Tell us what you’re building, connecting, or trying to improve. We’ll start with the right questions.
Discuss Your Charging Platform