Automotive software doesn't get second chances. A fleet tracking system that drops data, an EV charging app that crashes mid-session, or a connected vehicle dashboard that lags at the wrong moment. We build the software behind mobility products that has to work every time, not most of the time.
MQTT for real-time telemetry. OCPP for EV charging. GPS and mapping APIs for anything that moves. These aren't technologies we learn on your project. They're part of how we scope and build from day one.
We map the data flows, the hardware dependencies, the connectivity scenarios, and the failure modes before designing anything. A fleet tracking system that looks right in a wireframe but drops data on a rural route isn't ready. We find those gaps before the build starts.
General software agencies can build the interface. The hard part is the real-time data pipelines, the protocol integrations, the offline resilience, and the field behaviour that separates a demo from a deployment. Here's where we focus.
Every automotive system we build is designed to handle intermittent signal, queue data when offline, and sync cleanly when connectivity returns. Because rural routes, underground car parks, and dead zones exist whether you plan for them or not.
These aren't things we research after signing the contract. They're part of how we scope, architect, and build from the first conversation. Domain knowledge in automotive isn't optional. It's what makes the integration work.
Fleet tracking, EV session monitoring, and connected vehicle dashboards process data in milliseconds. We architect for that latency requirement from day one, not optimize for it after the system is already in production.
We test on real hardware in real conditions before anything goes live. Signal drops, hardware reboots, and concurrent load on actual devices. The scenarios that break systems in production are the ones we look for in testing.
Automotive systems surface their edge cases in the field, not the test environment. We monitor through the first operational period, fix what real usage exposes, and iterate until the system performs the way it needs to.
Code, data pipelines, integration configs, documentation. All yours from day one. Take it in-house, hand to another team, or keep working with us. Nothing is locked behind a system only we can maintain.
Bring the use case, the hardware specs, the integration requirements, or the system that's not performing the way it should. We'll tell you what's realistic, what it takes to build it right, and whether we're the right team for it.
Yes. We build the software layer that runs EV charging networks: OCPP-compliant charge point management, session handling, payment processing, and driver-facing apps. We've done this enough to know where charging networks fail from a software perspective and how to build around those failure points.
Yes. We've integrated with OBD-II ports, CAN bus systems, GPS hardware, and third-party telematics devices. The integration approach depends on what data you need to capture and what your hardware supports. We assess both before recommending an approach.
We test on real hardware across the connectivity and environmental conditions the system will actually face. Not just clean network, full signal, optimal conditions. We simulate rural routes, underground environments, hardware reboots, and concurrent load before anything goes live. Field testing isn't optional in automotive. It's where the real QA happens.
Not if it's planned for, which we always do. We build with intermittent connectivity as a design constraint, not an edge case. Data queuing, offline operation, and reliable sync are part of the architecture from day one. Poor connectivity is only a problem if the system was built assuming it wouldn't happen.
Sub-second data delivery for live tracking and monitoring systems. We use event-driven architecture and message queuing to handle high-frequency vehicle data without bottlenecks. Real-time in automotive means decisions get made on current data, not data that's thirty seconds old. We build for that standard.
A focused fleet tracking tool or a single integration is typically two to four months. A full mobility platform with telematics, routing, payment, and driver apps is four to eight months or more depending on scope. Hardware integration and field testing add time that can't be cut without cutting reliability. We'll give you a real number after we understand what you're building, not a range designed to sound reasonable before we know the details.
