Revamping innovation

Automotive Software Development Services

Telematics, embedded systems and the platforms behind a connected fleet. We build the software that decides how a vehicle performs, and how efficiently the business around it runs.

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  • 16+ years of engineering
  • 200+ in-house engineers
  • 1500+ solutions delivered

Trusted By

750+ happy clients, including top Fortune 500 companies

Our offerings

Cutting-Edge Automotive Software Development

From telematics through to embedded systems, we build the software that decides how a vehicle performs and how efficiently the business behind it runs.

Robotic arms welding a car body shell on an automated production line

Guidance and consulting across the whole range, from automotive app development through to long-term software maintenance.

  • Refine automotive development workflows
  • Fine-tune software architecture
  • Optimise development and integration

Custom systems built on current technology, aimed at the driving experience and at what the vehicle is capable of rather than at a spec sheet.

  • Sound development practice
  • High-performing, robust systems
  • Customisation and upgrades

Internal and external integration is what decides how well the vehicle’s hardware actually performs. We manage that process rather than hand it over.

  • Core functionality onboarded efficiently
  • Improved connectivity and performance
  • Integration-specific requirements handled

A vehicle system stays in the field for years. Ongoing support keeps it secure and healthy across that life, not just through the warranty.

  • Remote software diagnostics
  • Over-the-air updates
  • Timely maintenance and patching

Moving an old setup onto a scalable, current architecture, without losing the behaviour the fleet already depends on.

  • Interface improvements
  • Performance optimisation
  • Advanced functionality integrated

Our solutions

Custom Automotive Software Development Services

The automotive sector is the lifeline of a connected economy, and what it asks of software has moved faster than most estates have. Six places we build.

Logistics

A full range of systems for running logistics operations, and for finding the parts of them worth improving next.

  • Warehouse management
  • Fleet management
  • Supply chain operations

Dealership management

Platform-based dealer management systems, customised to how the dealership actually sells rather than to a template.

  • Effective sales management
  • Improved dealership operations
  • Financing and insurance workflows

Automotive eCommerce

End-to-end commerce for businesses selling auto parts, used cars and vehicles, built for the way those purchases really get made.

  • Omnichannel commerce
  • Improved digital experience
  • Support and maintenance

Automotive BI

Business intelligence and analytics that turn the data the business already collects into something a decision can rest on.

  • Customer analytics
  • Strategic decision-making
  • Operational analytics

Enterprise management

Centralised systems that automate and join up the parts of an automobile business that have grown apart from each other.

  • Streamlined process management
  • Relationship management
  • Better resource planning

Telematics software

IoT-based telematics that let an automotive business use what connected-vehicle technology actually makes available.

  • Improved enterprise management
  • Enhanced driver assistance
  • Vehicle cybersecurity applications

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Guide

Understanding Automotive Software Development

Five questions that come up in every automotive build, answered in the order they tend to arrive. Pick the one you came for.

In this guide

Scoping a connected-vehicle build?

Talk to our team about where the embedded, telematics and cloud sides actually meet.

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Benefits of automotive software development

Custom software earns its place in three distinct parts of an automotive business, and the returns look quite different in each.

  1. Production and manufacturing

    • Streamlined processes. Optimising the manufacturing line cuts production time and lifts productivity, which shows up as cost saved.
    • Quality control. Consistent checks against a defined standard, rather than a standard that varies by shift.
    • Supply chain management. Inventory held at the right level and logistics that run without manual reconciliation.

  2. Vehicle safety and performance

    • Performance. Better engine control and vehicle systems mean better fuel efficiency, lower emissions and more available performance.
    • Safety features. Collision avoidance, adaptive cruise control, emergency braking and lane departure warning are all software problems before they are hardware ones.

  3. Autonomous driving

    • Safety. Self-driving systems remove the class of accident caused by human error.
    • Efficiency. Autonomous vehicles optimise routes and ease congestion, which matters to a fleet operator and to everyone else on the road.

The types of automotive software development

Automotive software is not one discipline. These five have different constraints, different toolchains and, usually, different teams.

  1. Embedded software development

    Software running directly on the vehicle’s embedded systems: engine management and control, brake and transmission control, safety features, infotainment. The layer with the least room for error.

  2. Telematics software development

    Collecting and handling data on vehicle performance, environmental conditions and driver behaviour. Telematics is the bridge between the vehicle and everything outside it, fleet management, remote diagnostics, GPS tracking, predictive maintenance.

  3. Infotainment software development

    The cabin experience: multimedia, audio and video playback, voice recognition, smartphone integration, connectivity and external devices.

  4. Autonomous software development

    Dedicated systems for self-driving vehicles, the machine learning models, the algorithms and the sensor integration that let a vehicle decide and navigate accurately in real time.

  5. Cybersecurity software development

    As transportation becomes more connected, protecting vehicle data and systems against attack stops being optional. This is the discipline that keeps the other four safe to ship.

The role of software in EVs and autonomous cars

Electric and autonomous vehicles are where the software content of a car stops being a component and starts being the product.

  1. Battery, powertrain and range

    • Battery management. BMS software monitors battery health and optimises energy use, which is what decides an EV battery’s lifespan as much as its chemistry does.
    • Powertrain control. Controllers, inverters and motors driven together for the performance and efficiency the vehicle was specified for.
    • Range estimation. Predicting real range from charge, conditions and driving pattern, and then adjusting the driving parameters to extend it.

  2. Perception, decision and localisation

    • Sensor perception. LiDAR, radar, cameras and ultrasonic sensors processed into one coherent picture of what is around the vehicle.
    • Decision-making algorithms. Real-time calls on speed and lane changes, made from that picture.
    • Mapping and localisation. Knowing precisely where the vehicle is, and holding maps good enough to plan a path across.

Key trends in automotive software development

Four shifts currently deciding what gets built, and what gets rewritten.

  1. Connected vehicles

    Communication between vehicles (V2V), with infrastructure (V2I) and with everything else (V2X). The engineering work is in the platforms behind it: real-time traffic management, remote diagnostics, over-the-air updates and data exchange.

  2. Electrification

    Demand for zero emissions is pushing the whole sector electric, and with it the software for battery systems, electric powertrains and charging infrastructure.

  3. Automotive cybersecurity

    Data privacy and security are now board-level concerns for manufacturers. That means security protocols, intrusion detection, encryption and an update path, and demonstrable compliance with the regulation covering all of it.

  4. AI and machine learning

    Applied across predictive maintenance, intelligent driver assistance, computer vision and natural language processing in the cabin.

Predictive maintenance in automotive software

Predictive maintenance combines sensor technology, data analytics and machine learning to work out when a component will need attention, before it fails rather than after. Lower maintenance cost, less downtime, better efficiency.

  1. Real-time monitoring

    Continuous status on the components that matter, with the driver or owner told early enough that a problem is still cheap to fix.

  2. Data analytics

    Machine learning over vehicle data to predict failures, and to recommend a service interval that fits how the vehicle is actually driven rather than a fixed mileage.

  3. Continuous improvement

    The models are refined against real performance data. More sources and more iterations make each prediction more reliable than the last.

Highly Rated Across Top Platforms

Why Sphinx Solutions

A Pioneer in Advanced Automotive Software

We engineer robust, user-centred systems around the way the business actually runs, working through an agile process that keeps the client in the room. Our developers apply AR and VR, artificial intelligence and machine learning where they earn their place, for startups, SMBs and large-scale enterprises alike.

16+

Years of engineering

200+

In-house engineers

1500+

Solutions delivered

750+

Enterprise clients

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Questions &
Answers

Everything you need to know about building automotive software. Can’t find your answer? Get in touch.

The technologies and practices that protect a vehicle’s data and internal systems from attack. As vehicles become more software-driven and more connected, it stops being a manufacturer’s concern alone and becomes one for suppliers and drivers too.

The integration of internet and communication systems into the vehicle, letting it exchange information with infrastructure (V2I), with other vehicles (V2V) and with cloud platforms (V2X), which is what turns a set of vehicles into a networked system.

Substantially, and in more than one place at once. The areas being reshaped:

  • Raw material sourcing
  • Logistics and distribution
  • Supply chain integration
  • Supply chain sustainability
  • Charging infrastructure

Someone who designs, builds and ships software for the automotive industry, safety systems, engine management, transmission control, infotainment, autonomous driving. It is systems engineering with a vehicle at the end of it rather than a screen.

A feature-rich automotive system typically runs between $50,000 and $250,000. Where a given project lands depends on complexity, the tech stack, the integrations required, the feature set and the rates of the team building it.

The global market is set for substantial growth, and these are the areas driving it:

  • EV software development
  • Cloud computing for automobiles
  • Automotive cybersecurity
  • Predictive maintenance
  • AI and machine learning integration

Depth in embedded work as well as cloud, because an automotive product needs both and they are not the same skill. A track record with the regulation the sector answers to. And an engagement model that puts the same team on the problem for long enough to understand it, Sphinx runs 200+ in-house engineers across automotive, healthcare and enterprise software for exactly that reason.