Automotive Software Development Company for the Layer Above the Vehicle
An automotive software development company that builds the cloud, fleet, dealer and telematics side of a vehicle programme. Firmware and in-vehicle code are somebody else’s job, and we would rather say that in the first line than in month three.
Book a data and integration reviewThe Difficult Part of Vehicle Software Is Rarely in the Vehicle
A modern vehicle programme generates an enormous amount of data and almost none of the difficulty lives where people expect. The signal leaves the vehicle intermittently, over a connection that disappears in a tunnel and reappears in a car park an hour later with a backlog. Three model years report the same measurement with different names, different units and different sampling rates. A supplier’s device and the manufacturer’s own telemetry disagree about mileage. By the time all of that reaches a fleet manager’s screen it has been through four assumptions, and any one of them being wrong makes the screen quietly untrue.
The second problem is organisational. Dealers, service centres, warranty, insurance partners and fleet customers each hold a piece of the vehicle’s history, in a system chosen for a different reason years earlier. Answering a question as simple as what happened to this vehicle usually means asking four systems and reconciling their answers by hand.
Neither of those is embedded engineering. Both are data and integration problems, which is precisely the layer we work in, and settling how the signals reconcile is the first thing we do rather than the thing that gets discovered during acceptance testing.
Trusted by Innovators Like You
We transform business potential through cutting-edge AI development, next-generation mobile apps, and precision custom web development.
100+
Software Engineers
500+
Solutions Delivered
30+
Industries Served
95%
Client Retention
120+
Clients Worldwide
3
Unicorn Products
Teams Who Came to Us With a Systems Problem
Different sectors, one pattern: the constraint turned out to be the systems around the product rather than the product itself. These are platforms we build, integrate and keep running.



![]()
![]()
Tell Us What the Sector Is Doing to You
Book a data and integration reviewAutomotive Software Services We Provide
Manufacturers, suppliers, fleet operators, dealer groups and mobility businesses all arrive with different questions. What follows is grouped by the work rather than by who is asking.
Vehicle data ingestion and normalisation
The pipeline that takes telemetry from vehicles and third-party devices and turns it into one comparable record, including the parts that are genuinely hard: intermittent connectivity, late-arriving backlogs, model years that disagree about a field name, and duplicate readings from two sources describing one journey.
Fleet and telematics platforms
Vehicle status, utilisation, driver behaviour, maintenance scheduling and cost per vehicle, built on the devices already fitted rather than requiring a hardware programme. Hardware replacement is a capital decision and should not be triggered by a software project.
Dealer, service and aftersales systems
Booking, workshop scheduling, job cards, parts availability, warranty claim preparation and customer communication. Usually the highest-return work available to a dealer group and consistently the least glamorous.
Connected vehicle applications
Driver and owner applications covering vehicle status, remote functions the manufacturer already exposes, service history, charging and journey data. Built against the interfaces the vehicle programme publishes, never inside the vehicle.
Charging and energy applications for electric fleets
Session management, charge scheduling, cost allocation and reporting across depots and public networks. Charging is where electric fleet economics are actually decided and it is usually managed on a spreadsheet for the first two years.
Analytics and predictive maintenance
Failure prediction, warranty pattern analysis, utilisation and total cost modelling, built on data with lineage so a claim about a component can be evidenced when a supplier disputes it.
Integration across dealer, warranty and partner systems
Joining the systems that each hold part of a vehicle’s history so a question can be answered once rather than assembled from four places. This is the work most automotive projects underestimate.
Modernisation of ageing automotive systems
Dealer management, parts and warranty systems moved in phases with the incumbent live throughout, because these systems run daily operations and cannot go dark for a weekend.
The pipelines carrying vehicle data · Joining dealer, warranty and partner systems · Moving an ageing system without stopping the workshop
Work in This Sector
Work from across our portfolio. Studies from this sector appear here as they are published.
Automotive
A Dealer-Only Vehicle Trading App With Timed Auctions and Live Bidding, Built for Egypt
Egyptian dealers were sourcing cars from each other through disconnected WhatsApp threads and phone calls. Carlista gave that trade a governed market, with an engineer's condition report attached before a car is listed.
Read case study: A Dealer-Only Vehicle Trading App With Timed Auctions and Live Bidding, Built for EgyptEducation
Two Completely Different Apps Behind One School Login
Parents tracking their children and teachers running classrooms share almost nothing. One Flutter codebase serves both, changing its entire shape depending on who signs in.
Read case study: Two Completely Different Apps Behind One School LoginStories of Transformation and Trust
What clients say once the system has been running long enough to judge.
Hardik was very helpful in advice and completing the work.
We have contracted a developer from Aipxperts now for several months, based on a referral. We have been very pleased with the quality of the work, the knowledge and skill level of our developer, and the value we're receiving for our fee. We also very much appreciate that the development team works at night (effectively), so we are sometimes able to turn client requests around in a day.There have been a couple of situations where we needed urgent help outside of our developer's normal business hours, and we've received that help (for which I am very grateful). While we have some challenges with communication sometimes, our overall satisfaction level is very high.
Who Uses It: Driver, Workshop, Fleet and Programme
The same vehicle appears on all of these and each one needs a different fact about it. A driver wants status, a technician wants history, a fleet manager wants cost, and a programme team wants the pattern across thousands.
Driver and owner app
Vehicle status, charge or fuel state and location where permittedService history and upcoming maintenanceBooking a service and communicating with the workshopJourney and efficiency data presented so it means somethingRemote functions the vehicle programme already exposes
Workshop and technician
Job cards with the vehicle’s actual reported history attachedParts availability and orderingDiagnostic and fault records from the telemetry feedWarranty claim preparation with the supporting evidence gatheredScheduling and bay utilisation
Fleet manager
Live vehicle status, utilisation and exceptionsMaintenance scheduling driven by condition rather than only by dateDriver behaviour and safety reportingCost per vehicle, per route and per depotCharging or fuel management and allocation
Programme and analytics
Fleet-wide reliability and failure patterns by model year and componentWarranty exposure and claim analysisData quality monitoring across sources, which is the view nobody builds and everybody needsReporting for suppliers, insurers and finance
Automotive Integrations That Carry the Real Risk
All of this is work we deliver. On an automotive programme these carry more risk than the applications above them, because a reconciliation error does not present as a failure. It presents as a number that is quietly wrong.
Vehicle and device telemetry
Ingestion from the manufacturer’s own telemetry and from aftermarket devices, with the normalisation rules written down: which source wins per field, how units are converted, how a late backlog is merged into a period already reported.
Dealer and workshop systems
Joining booking, job card, parts and history so a vehicle arriving at a service centre brings its record with it. What a given dealer system exposes varies enormously, so it is assessed per system rather than assumed per product.
Warranty, parts and supplier systems
Claim preparation, parts availability and supplier data, where the value is in assembling evidence automatically rather than having a technician gather it after the fact.
Charging networks for electric fleets
Session, cost and availability data across depot and public charging, using the open protocols the sector runs on. Which of those your estate actually speaks is an assessment question and it changes the scope materially.
Insurance, finance and mobility partners
Usage and event data shared with partners under agreed scope, which is a privacy design question as much as an integration one, because vehicle data is often personal data.
Alerting on the data itself, not only the connection
An automotive feed rarely stops. It degrades: a field goes null, a device firmware update changes a unit, a model year starts reporting differently. Monitoring here checks that the data is still plausible, not only that it is still arriving. That distinction is the single most useful thing on this page.
Where the Regulated Obligations Sit, and Which of Them Are Ours
Vehicle programmes carry obligations that a software supplier can support and cannot discharge. Being specific about which is which is more useful to you than a list of standards.
Vehicle cyber security and software update governanceManufacturers operate management systems covering vehicle cyber security and the governance of software updates, and a supplier building anything that touches vehicle data is expected to fit inside them. In practice that means evidence: what was changed, who approved it, what was tested, and being able to produce that trail on request rather than assemble it later. We build to that expectation. We do not hold or issue the approvals themselves.Vehicle data as personal dataLocation, journey and behaviour data is usually personal data about a driver, whatever else it is. Consent, purpose limitation, retention and what may be shared with an insurer or a fleet customer are data model decisions taken at the start, not settings applied at the end.Type approval and homologationNot ours, and we will say so at scoping. These processes concern the vehicle and its in-vehicle systems. Nothing we build sits inside that boundary, which is also why nothing we build should ever be presented to an approval authority as if it did.Safety-critical in-vehicle softwareWe do not write it. Anything with a functional safety obligation inside the vehicle needs a supplier with that discipline, that tooling and that audit history. Aipxperts is not one, and a supplier who agrees to it without that background is a risk you would be taking on.On certification, and what we can hand your auditorNo ISO 27001 or SOC 2 accreditation is held. The access management, change control, encryption and monitoring behind what we build are designed and documented, with evidence prepared so your assurance team can work through it. That supports your obligation. It does not discharge it.
If a manufacturer or partner is running a security assessment
What an Automotive Engagement Produces
Artefacts and test results, each of which can be asked for by name at the first meeting.
01A signal and source reconciliation documentWhich system is authoritative for each field, how units and names are mapped across model years and devices, how a late backlog is treated, and what happens when two sources disagree. Without this, a fleet dashboard is a confident-looking guess.02Data plausibility monitoring, not just uptime monitoringChecks that a field has not gone null, a unit has not silently changed and a model year has not started reporting differently. Automotive feeds degrade rather than fail, and uptime monitoring is blind to it.03A change trail your assurance team can useWhat changed, who approved it, what was tested, produced as delivery output rather than reconstructed when somebody asks. Programmes running software update governance need this from every supplier.04A written scope boundaryWhat we build and what we do not, stated in the contract. Firmware, in-vehicle safety software, homologation and type approval are outside it. That sentence exists to protect you as much as us.05Mappings and rules that transfer with the platformField mappings, normalisation rules and integration specifications transfer at the end of the engagement.
What an Automotive Platform Is Built From
Choices follow the volume of telemetry and the systems already in the business. Everything here is worked in day to day.
Application languages
JavaKotlinSwiftPythonC#GoTypeScriptDart
Frameworks
Spring Boot.NET CoreReactAngularNode.jsFlutter
Data
PostgreSQLMongoDBRedis
Cloud and infrastructure
AWSAzureGoogle CloudDockerKubernetesTerraform
Automotive-specific work
high-volume telemetry ingestionout-of-order and late-arriving data handlingunit and schema normalisation across model yearsdata quality monitoring
From Signal Audit to a Number Somebody Can Trust
The order is deliberate. Reconciliation is settled before anything is displayed, because a dashboard built on unreconciled data is worse than no dashboard.
01Signal and source auditWhat each vehicle generation, device and system actually sends, at what frequency, with what gaps. The output is the reconciliation document.02Data model and quality designCanonical field definitions, unit handling, late-arrival rules and the plausibility checks that will run continuously.03Integration design across dealer and partner systemsWhat each system exposes, how often it can be asked, and what the fallback is when it is unavailable.04Privacy and data-sharing designWhat is personal data, who may see it, what is shared with insurers or fleet customers, and on what basis.05Build in increments with real dataIncrements run against a sample of your actual telemetry rather than generated data, because synthetic vehicle data is always tidier than the real thing and hides exactly the problems worth finding.06Volume and disorder testingTested at fleet volume, with out-of-order arrival, duplicate readings and a simulated multi-day backlog, because those are the normal conditions rather than the edge cases.07Field validationApplications tested on the devices technicians and drivers actually use, in workshops and vehicles rather than at a desk.08Rollout and monitoringPhased by depot, dealer or model programme. Data plausibility and interface monitoring run from the first day. Cover is business hours, with the escalation route agreed before rollout.
Automotive Questions Where the Answer Should Be Specific
The answers at the top of this list narrow what we will take on. A supplier who answers either of them with an unqualified yes is worth a second look.
Share your project vision
Tell us what you want to build. A specialist, not a salesperson, replies.
Dive Into Our Insights
What our engineers have written up from work in this sector and the ones next to it.
-
Telemedicine App Development: From Convenience to Quality Care
In a world where digital technology has transformed numerous aspects of our lives, healthcare is no exception. Telemedicine and virtual
-
Blockchain App Development: A Step-by-Step Guide
In 2021, global spending on blockchain solutions was 6.6 billion dollars. Forecasts suggest that spending on blockchain solutions will continue
-
Education App Development: Top Mobile Solutions for EdTech
Education is undergoing a massive transformation thanks to the top mobile app solutions for ed tech that have changed the learning landscape. As educators and students alike embrace the digital age, mobile apps have emerged as a game-changer in the
