Automotive Software Development

Software solutions defining the future of automotive

Build connected, secure automotive software that links vehicle systems, customer journeys, and operational data.

OUR CLIENTS

Connected Systems Drive Automotive Growth

Disconnected vehicle systems, release workflows, and legacy architecture make it harder to scale connected services.

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01.

Disconnected vehicle systems

Vehicle data, dealer operations, CRM, ERP, service platforms, and analytics often live in separate systems. Brittle or manual integrations reduce visibility across customer and service workflows.

02.

Slow software release and validation cycles

Software-defined vehicle, connected mobility, and ADAS programs need disciplined development, testing, and release workflows.

03.

Telematics data without operational context

GPS, ECUs, diagnostics devices, sensors, and connected services generate large volumes of data. Value appears when that data is normalized, integrated, and turned into actions for maintenance.

04.

Legacy architecture and growing security demands

Older automotive applications can restrict integration, cloud adoption, OTA workflows, analytics, and user experience improvements.

Automotive software engineering across the full delivery lifecycle

Consulting

Define product scope, system requirements, architecture options, data flows, integration needs, security considerations, and a practical delivery roadmap for a new or existing automotive platform.

Development

Build custom web, mobile, cloud, embedded-adjacent applications for automotive operations, connected services, digital commerce, dealer workflows, fleet management, and analytics.

Integration

Connect automotive software with CRM, ERP, dealer management systems, telematics platforms, payment services, data warehouses, identity systems, and third-party APIs.

Software testing & QA

Validate functional behavior, integrations, performance, security, data quality, and release readiness through automated and manual testing aligned with the system’s risk profile.

Support & maintenance

Keep production software stable with monitoring, defect resolution, performance tuning, security updates, release support, and an improvement backlog tied to product and operational needs.

Legacy software modernization

Refactor, replatform, or rebuild aging applications in stages using APIs, cloud services, modular architecture, modern interfaces, and improved data access without forcing a full replacement on day one.

Custom software solutions for connected automotive operations

Dealership & automotive commerce

Connect sales, customer, inventory, finance, service, parts, pricing, checkout, booking, and reporting workflows through dealership management and B2B/B2C automotive commerce platforms.

Telematics & connected vehicle platforms

Collect, process, and operationalize data from GPS, ECUs, diagnostics devices, sensors, and external services for vehicle tracking, diagnostics, maintenance scheduling, cargo monitoring, safety, and fleet visibility.

Fleet, logistics & mobility platforms

Build transportation, fleet, warehouse, route optimization, ride-sharing, rental, delivery, and peer-to-peer mobility systems with geolocation, reservations, payments, messaging, ratings, and identity workflows.

Driver experiences, ADAS & SDV enablement

Support digital cockpit, infotainment, companion apps, cloud connectivity, software-defined vehicle architecture, simulation integration, test automation, Automotive DevOps, observability, and engineering workflows.

How we deliver scalable automotive technology solutions

Discover & assess

Review business goals, user workflows, data sources, integration constraints, security needs, and current delivery bottlenecks.

Deliverables: System landscape notes, workflow assessment, initial risks, priority opportunities.

Plan & Strategise

Define the target architecture, integration approach, product backlog, delivery model, data design, test strategy, and modernization sequence.

Deliverables: Architecture direction, delivery roadmap, integration plan, release approach.

Design & build

Create user journeys, interfaces, services, APIs, integrations, data pipelines, cloud components, and automation around the approved scope.

Deliverables: Working increments, design assets, API contracts, technical documentation.

Validate & refine

Test functionality, integrations, performance, security, data quality, and operational scenarios. Where relevant, automotive engineering validation can include simulation and hardware-in-the-loop integration.

Deliverables: QA reports, issue log, validation evidence, refinement recommendations.

Deploy, support & improve

Roll out in controlled stages, monitor production behavior, support users and operations, and prioritize improvements using telemetry, incident data, feedback, and product goals.

Deliverables: Release support, monitoring, maintenance plan, improvement backlog.

Build next-generation automotive software without the delivery bottlenecks

From connected vehicle platforms and telematics to AUTOSAR compliance and EV software systems, engineer secure, production-ready solutions with complete compliance and speed.

Engagement model that fits your automotive technology roadmap

Find the right engagement model

Dedicated team →

Project-Based Delivery →

Hybrid Delivery →

BEST FOR

Automotive and mobility companies needing ongoing engineering capacity across product development, integrations, data platforms, modernization, QA, or cloud operations.

A defined telematics, dealer platform, ecommerce, analytics, integration, modernization, or application build with clear scope and milestones.

Organizations splitting work between internal automotive, product, IT teams and external engineering specialists.

MANAGEMENT

Team integrates with your product and sprint cadence with shared delivery ownership.

tkxel manages delivery against agreed requirements, timeline, and acceptance criteria.

Responsibilities are divided across teams with agreed governance, interfaces, and handoffs.

FLEXIBILITY

Ongoing capacity that can change as priorities evolve.

Fixed or milestone-based scope with controlled change management.

Capacity and ownership can be rebalanced as the program changes.

COMPLIANCE

Engineering practices can align with the project’s automotive security, quality, privacy, and OEM requirements.

Requirements, validation, security, and acceptance criteria are defined around the agreed project scope.

Specialists work within the organization’s existing engineering governance, security controls, and compliance workflows.

KNOWLEDGE

Product, architecture, and operational context builds across ongoing delivery.

Technical documentation and agreed delivery artifacts support handover at project close.

Knowledge and ownership remain shared across internal and tkxel specialists.

COST MODEL

Ongoing capacity model aligned to evolving roadmap needs.

Scope- or milestone-based structure with controlled changes.

Blended capacity structure based on the agreed ownership split.

800+ engineers on board. Ready to build connected automotive systems.

Product engineering, cloud, data, AI, cybersecurity, integration, and modernization capabilities under one delivery model.

18 +

Years on the market

73 %

Of clients return for long-term partnerships

10 Years launching and building AI products

4 GLOBAL OFFICES

Engineering proof points relevant to complex automotive modernization

Streamlined ABB's operations with Salesforce and Azure integration

Manufacturing & IndustrialSalesforce Implementation

View case study

"tkxel shared our vision right from the get go, and helped us achieve the unthinkable. Their team was highly professional."

Pam Chitwood

Product Manager, ABB

50% reduction in support workload with AI-powered document retrieval

AgricultureArtificial Intelligence

View case study

"tkxel built an AI assistant that delivers accurate guidance fast and reduces manual work."

Director of Operations

23% increase in sales team productivity with a customized CSR system

Manufacturing & IndustrialEngineering

View case study

WATCH TESTIMONIAL

Nick Drogo

Global Director IT, Knowles

The SMB Playbook for AI Adoption in 2025

Based on real-world lessons from businesses scaling AI the right way.

Partnered with the world’s top cloud providers

As an AWS partner, we apply AWS best practices for secure architectures, performance optimisation, and cost efficiency. We also leverage AWS programs and tooling to streamline modernisation and reduce operational overhead.

Our Microsoft partnership gives you access to Azure best practices, optimisation frameworks, enterprise licensing benefits, and cloud adoption programs that accelerate transformation while maintaining financial control.

We bring deep experience across GCP’s native services, cost governance capabilities, and security controls to help you standardise operations and achieve consistent optimisation across distributed environments.

Build the software foundation for connected automotive growth

“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

“tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with tkxel is one of the best decisions we have made.”

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Product Manager, ABB

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Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

Umair Bashir

CTO, Replenium

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What is automotive software development?

Automotive software development is the design, engineering, integration, testing, modernization, and maintenance of software used in vehicles and across automotive business operations. It can include connected vehicle services, telematics, dealer systems, fleet platforms, ecommerce, CRM, ERP, analytics, infotainment applications, mobile apps, and engineering tools for software-defined vehicle programs.

What automotive software development services does tkxel provide?

tkxel provides consulting, custom software development, system integration, software testing and QA, cloud and data engineering, AI development, application modernization, cybersecurity support, and ongoing maintenance for automotive and mobility use cases.

Can tkxel integrate telematics with fleet, ERP, CRM, or analytics platforms?

Yes. Telematics data can be connected with fleet management, ERP, CRM, data platforms, BI tools, maintenance systems, and customer applications through APIs, event streams, middleware, or custom integration services. The integration design depends on data volume, latency, security, and operational requirements.

Can automotive legacy systems be modernized without replacing everything at once?

Yes. Legacy modernization can be phased. A common approach introduces APIs, modular services, cloud infrastructure, improved interfaces, and new data pipelines around existing core systems, then replaces higher-risk components in controlled stages.

How is AI used in automotive software?

AI can support predictive maintenance, anomaly detection, fleet optimization, demand forecasting, visual inspection, driver and customer support, personalization, document automation, and analytics. AI is most useful when the model, data, workflow, and success metric are defined around a specific operational problem.

What standards matter in automotive software development?

The standards depend on the system. Common references include Automotive SPICE (ASPICE) for development process assessment, ISO 26262 for functional safety, ISO/SAE 21434 for road vehicle cybersecurity, AUTOSAR for standardized automotive software architecture, and ISO 27001 for information security management.

How do you test automotive software?

Testing can include unit, integration, API, system, regression, performance, security, usability, and data validation. Automotive engineering programs may extend validation with simulation, software-in-the-loop, hardware-in-the-loop, traceability, fault injection, and test automation depending on the product and safety requirements.

How much does automotive software development cost?

Cost depends on scope, architecture, integrations, data volume, compliance requirements, target platforms, testing depth, team composition, and delivery model. A focused discovery phase is the best way to define a realistic range before committing to a full build.

What is a software-defined vehicle (SDV)?

A software-defined vehicle is a vehicle whose features, behavior, and customer experience are increasingly controlled and updated through software rather than fixed only by hardware. SDV programs rely on layered software architecture, connectivity, centralized compute, OTA updates, data platforms, cybersecurity, and disciplined validation.

Can you support over-the-air (OTA) update workflows?

tkxel can support cloud, backend, data, security, observability, release automation, and integration components around OTA programs. Vehicle-side safety approval and embedded implementation requirements should be defined with the OEM or responsible automotive engineering organization for the specific platform.

Software solutions defining the future of automotive

OUR CLIENTS

Connected Systems Drive Automotive Growth

Disconnected vehicle systems

Slow software release and validation cycles

Telematics data without operational context

Legacy architecture and growing security demands

Automotive software engineering across the full delivery lifecycle

Consulting

Development

Integration

Software testing & QA

Support & maintenance

Legacy software modernization

Custom software solutions for connected automotive operations

Dealership & automotive commerce

Telematics & connected vehicle platforms

Fleet, logistics & mobility platforms

Driver experiences, ADAS & SDV enablement

How we deliver scalable automotive technology solutions

Discover & assess

Plan & Strategise

Design & build

Validate & refine

Deploy, support & improve

Build next-generation automotive software without the delivery bottlenecks

Engagement model that fits your automotive technology roadmap

800+ engineers on board. Ready to build connected automotive systems.

18 +

Years on the market

73 %

Of clients return for long-term partnerships

10

Years launching and building AI products

4

GLOBAL OFFICES

Engineering proof points relevant to complex automotive modernization

Streamlined ABB's operations with Salesforce and Azure integration

Pam Chitwood

50% reduction in support workload with AI-powered document retrieval

23% increase in sales team productivity with a customized CSR system

Nick Drogo

The SMB Playbook for AI Adoption in 2025

Partnered with the world’s top cloud providers

Build the software foundation for connected automotive growth

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

Nick Drogo

Robert K Burger

Umair Bashir

Pam Chitwood

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