Software engineered for vehicles, fleets and the dealers who run them
Automotive
A vehicle keeps generating data long after it leaves the factory, and a dealer network keeps running long after a software vendor stops answering calls. This practice builds connected-vehicle, fleet and dealer systems that hold up under real-time constraints and years of unglamorous operation.
01Start from the fleet, not the framework
Name the operational pressure first.
Automotive buyers usually arrive with an operational problem, not a technology wish list. A dealer network on disconnected systems, a fleet needing real-time visibility, or a diagnostics platform too old to extend safely, each names a different pressure. Naming it narrows the route to the fitting practice.
Inventory, service and sales tools do not agree with each other.System integration connects what already exists, and data modernization gives the network one source of truth.
Vehicles are moving and nobody can see where or how they are performing.IoT engineering gets telemetry off the vehicle reliably, and AI turns the stream into decisions worth trusting.
The system reading vehicle health data cannot take another feature without breaking.Data modernization rebuilds the pipeline underneath, then integration reconnects it to dealer and OEM systems.
Connected Vehicle & IoT
Telematics and connected hardware engineered for continuous operation.
Diagnostics & Fleet Data
Diagnostic and fleet data pipelines rebuilt for reliable reporting.
Automotive AI
Predictive maintenance and service automation with evaluation on record.
Dealer & OEM Integration
Dealer, OEM and supplier systems connected without replacing what works.
02Real-time constraints as a design input
Built for latency, vibration and the service bay.
Automotive software rarely gets a second chance mid-drive, so the delivery process treats real-time behaviour and automotive-grade safety expectations as architecture decisions, not late fixes. Interfaces are tested against intermittent connectivity, sensor noise and the hardware variance a fleet actually runs, before a release goes anywhere near a vehicle.
Frame the real-time and safety surface
Latency budgets, failure modes and the safety expectations a vehicle programme must meet are mapped before a line of interface code exists.
A safety map before architectureDesign for intermittent connectivity
Offline queues, conflict resolution and graceful degradation are built in from the first diagram, because a fleet vehicle loses signal more than any test network admits.
Architecture that tolerates the fieldValidate on the hardware that ships
Telematics and diagnostics interfaces are exercised against the sensor and connector variance a real fleet carries, not one reference unit in a lab.
Tested against real hardware varianceShip with the rollback plan attached
Over-the-air updates go out behind a staged rollout and a rehearsed rollback, so a bad release never reaches an entire fleet at once.
A release the field can trust
03Services for automotive, matched to the standard each one answers to
Find the automotive service you came for, and the standard it must meet.
Automotive buyers search for a named system, not a practice area. The ledger maps each system to the deliverable behind it, the standards it has to honour, and the practice that owns the build. The four standards beneath the ledger shape every architecture decision before code is written.
| What you need | What we build | Standards and integrations | Where it lives |
|---|---|---|---|
| Dealer management system integration | An integration layer joining DMS, CRM, parts and service tools into one dealer view | CDK, Reynolds and Reynolds, Keyloop, STAR XML, OEM dealer APIs | System Integration |
| Fleet telematics platform | Ingestion, storage and dashboards for vehicle location, health and driver events across a mixed fleet | OBD-II, CAN bus (SAE J1939), MQTT, GPS/NMEA, AWS IoT Core | IoT Development Services |
| Connected-vehicle and OTA update pipeline | Staged over-the-air update service with rollback, campaign control and device attestation | Uptane, UNECE R156 (SUMS), ISO/SAE 21434, TLS certificate management | IoT Development Services |
| Vehicle diagnostics platform | A diagnostics data pipeline and analyst tooling rebuilt from the legacy system without losing vehicle history | OBD-II diagnostic trouble codes, UDS (ISO 14229), SAE J2534, ODX | Data Modernization |
| Predictive maintenance model | Failure-prediction models trained on sensor and service history, evaluated before a technician sees a recommendation | ISO 26262 safety context, MLflow evaluation runs, telematics feature stores | Machine Learning Development |
| Safety-critical software process | Requirements traceability, static analysis and test evidence organised around the functional-safety lifecycle | ISO 26262 (ASIL), AUTOSAR Classic and Adaptive, MISRA C, Automotive SPICE | Custom Software Development |
ISO 26262
Functional safety for road vehicles. The ASIL assigned to a function decides how much traceability, testing and documentation the build carries, so classification is settled before architecture.
AUTOSAR
The layered software architecture ECU programmes standardise on. Building against it keeps application code portable across supplier hardware and makes integration with an OEM platform predictable.
OBD-II and CAN bus
The diagnostic port and vehicle network every telematics device reads from. Ingestion is designed around their message rates, dropouts and the hardware variance real fleets carry.
UNECE R155 and R156
Cybersecurity and software-update management regulations for type approval. They require a managed update process with rollback and audit, which is why OTA pipelines ship staged.
04Evidence and proof
Vehicles and dealer networks that kept running.
Automotive proof needs to hold up in the field, not just the demo. These previews show the standard while written client approvals are collected.
Explore case studies
A dealer network unified without a single system replaced.
Halden Motor Group ran its dealer sites on disconnected inventory and service tools. Integration layered on the existing dealer management system gave every site the same real-time view within one rollout.
- Dealer sites connected
- Every site, one rollout
- Systems replaced
- Zero
Fleet telematics that survived its first winter.
A regional fleet operator needed real-time vehicle location and diagnostics across a mixed fleet. The pipeline held through connectivity drops and cold-weather sensor faults without losing a vehicle's history.
- Fleet visibility
- Continuous
- Vehicle history lost
- None
They designed for the moment our signal drops, not just the moment it works.
Sample · pending client approval
05Four doors into automotive engineering
Enter through the practice that fits the problem.
Automotive work usually starts at one of four doors. Connect the vehicle, rebuild the data behind diagnostics, apply AI where the evidence supports it, or integrate dealer and OEM systems that were never built to talk. Every door runs through the same real-time delivery discipline.
- IoT Development
Connect the vehicle and the fleet
Telematics and IoT engineering that gets sensor and location data off the vehicle reliably.
- Data Modernization
Modernise the diagnostics data
Diagnostic and fleet data pipelines rebuilt so maintenance decisions rest on numbers people trust.
- AI & Automation
Apply AI to maintenance and service
Predictive maintenance and service automation built with evaluation evidence before any claim ships.
- System Integration
Integrate dealer and OEM systems
Dealer management, OEM and supplier systems connected without replacing what already works.
06Straight answers
Asked before an automotive budget is set.
01Do you build software for connected vehicles?
Yes, including telematics ingestion, over-the-air update pipelines and the in-vehicle interfaces that depend on them. Every build accounts for intermittent connectivity and the bandwidth a vehicle actually has, not an office network. Latency budgets are set before interface design begins.
02Can you take over a legacy dealer management system?
Yes, starting with an integration assessment rather than a rebuild by default. Automotive dealer software transitions usually succeed by layering new capability on the existing system, and replacement enters the conversation only when the platform genuinely cannot be extended.
03How do you handle real-time fleet data?
Ingestion pipelines are built for intermittent connectivity, with offline queues and conflict resolution handling the gaps a moving fleet always creates. Data lands in one governed store so dispatch, maintenance and reporting stop disagreeing on the number.
04Do you engineer to automotive safety standards?
Where a system touches safety-critical behaviour, yes, and classification is settled early because it changes the testing and documentation burden. We scope the safety surface honestly and bring in specialist certification counsel when a programme needs it.
05How is automotive software work priced?
Against the real-time and integration surface uncovered during scoping, not a flat industry rate. A dealer integration and a safety-critical telematics build carry different risk, so the estimate follows the actual engineering rather than an average.
06Can you integrate with OEM and supplier systems?
Regularly, since almost no automotive system operates alone. OEM data feeds, supplier catalogues and legacy dealer platforms are connected through documented interfaces, each tested against the quirks the real system has.
07Do you build predictive maintenance with AI?
Where the data supports it. Sensor and service history feed models evaluated against real failure data before any maintenance recommendation reaches a technician, and we say plainly when the data is not there yet.
08Can you rebuild an existing telematics platform?
Yes, beginning with an assessment of the data pipeline and hardware fleet already in the field. The transition includes a stabilisation plan before any new feature work starts, so the existing fleet keeps reporting throughout.