Empowering the
Automotive Industry to
Build Software-Defined
Vehicles

We work with:

Grape Up provides automotive software development and consulting services for vehicle manufacturers, mobility providers, and Tier1 suppliers. By delivering end-to-end services for building Software-Defined Vehicles, Grape Up enables the most innovative companies to create the software-centric future of the automotive industry.

We work with:

Expertise in the strategic areas of the automotive industry

Fueling the software-driven transformation in the automotive industry, we help the leading vehicle manufacturers and mobility providers execute the CASE strategy, focusing on Connected Cars and Shared Mobility. Together, we constitute value-aligned partnerships based on constant feedback, ownership, and willingness to innovate. Developing software for automotive companies, we leverage the Agile Software Production Lifecycle, cloud-native technologies, and Data Science.

Connected Car

Creating software and architectures allowing for seamless connectivity by leveraging connected car concepts.

Shared Mobility

Enabling new revenue streams through developing Mobility as a Service and Sharing Economy software products.

Automotive Cloud

Building cloud infrastructures for automotive software development and ensuring cost efficiency, resiliency, safety, quality, and performance at scale.

Big Data

Building proven architectures to easily store and query heterogeneous data, making the development of new features and ML models easier and faster.

AI

Helping OEMs and mobility providers to enhance the capabilities of their software products with fuzzy logic, Machine Learning, and Artificial Intelligence.

See how Grape Up empowers automotive companies
to build their mission critical systems

Prototyping the Future Automotive Cloud

The Volkswagen Group presented publicly their “One Digital Platform” concept allowing to connect in-car services as well as run additional services for vehicles like charging or parking. Especially in the current era of people being always online, there are challenges to satisfy customer needs and expectations, which require a reliable IT infrastructure as a base […]

The Volkswagen Group presented publicly their “One Digital Platform” concept allowing to connect in-car services as well as run addition...

Porsche AG
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Building a Touchless Platform to Improve Customer Experience And Unlock New Revenue Streams
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Get insights into building Software-Defined Vehicles

Learn about tech and business aspects of the software revolution in automotive

Read the ebook and learn about technologies and solutions behind Software-Defined Vehicles. Follow the process from prototyping to changing the entire driving experience. Learn from the automotive experts how software impacts automotive, insurance, and other associated industries.

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Grape Up's expertise landscape in building
Software-Defined Vehicles

Connected
Car

Over The Air Upgrades

Vehicle2X

Vehicle Twin

Android Automotive OS

Mobile Key

IoT

Shared
Mobility

Telematics Platforms

3rd party integration

Contactless Rental Systems

Mobility Dashboard

Payment Integration

Charging Management Systems

AI & ML

Predictive Maintenance

Explainable AI

MLOps

Deep LearningDL Neural Networks

Supply chain optimization

Big Data

Data analytics

Data streaming platforms

B2B data sharing

Vehicle data insights

ETL Systems

Automotive
Cloud

Remote services

Seamlessly connected car

Scalable infrastructure

Unified observability

Vehicle2Cloud APIs

See what are the benefits from applying key Connected
Car and Shared Mobility technological concepts

Connected Car

Shared Mobility

Automotive Cloud

Big Data / AI

Reduce operational cost through OTA upgrades Predictive maintenance Efficient remote operations leveraging Vehicle Shadow and seamless connectivity Improve latency for V2X communication with 5G mobile network Integrate 3rd party apps/services into vehicles to open new revenue streams Analyzing behavioral data and driving patterns based on car telemetry Integrating OEMs telemetry APIs for shared mobility purposes Geofencing for theft prevention and location-based services Reduce manual labor and improve customer experience with touchless mobile apps Productionize machine learning and AI Improve solution resiliency through a scalable, multi-cloud platform Reduce outage risks with real-time platform observability and alerting Recommendation engines based on AI/ML to boost sales Understand your ML predictions and reasoning – Explainable AI Minimize support costs and prevent data loss with a scalable, common data streaming platform Democratize access to the data for the whole enterprise through ETL and data mesh

Reduce operational cost through OTA upgrades

The future of the automotive industry belongs to the software-defined vehicle. That requires a consistent and robust upgrade strategy. The need for visiting a dealership to install ECU, infotainment, ADAS, or navigation system upgrade starts to become a strain and increasingly generates operational costs for warranty repairs and recalls. With over-the-air upgrades, the software can be replaced with the newest, fixed version without visiting the service center in person.
At Grape Up, we have successfully delivered OTA upgrade systems leveraging IoT Edge devices and Kubernetes Edge system to consistently deploy a new version of the services and downgrade if needed.

Predictive maintenance

The cost of repair when the fault grounds the vehicle is 10x higher than fixing it when the first symptom occurs. That’s why most mobility providers and OEMs build predictive maintenance systems based on machine learning algorithms – to reduce the maintenance cost of vehicle fleets. With sophisticated algorithms based on real-time car telemetry and status information, as well as historical data, some of the costly repairs can be predicted and avoided.

Efficient remote operations leveraging Vehicle Shadow and seamless connectivity

While the end goal for the connected car is seamless connectivity, built upon multiple mediums of communication complementing each other depending on the situation, there are still areas with no network coverage. To mitigate this kind of connectivity problem, vehicle manufacturers are implementing the Digital Twin concept. The vehicle representation in the cloud holds all required statuses and proxies the remote operations. This means that for the end-user the vehicle remote operations are always available and also greatly simplifies the communication. Problematic scenarios are offloaded to the Vehicle Shadow system sitting on top of the IoT platform.
Grape Up helped Porsche build their Digital Twin system for the Connected Car platform.

Improve latency for V2X communication with 5G mobile network

Modern autonomous driving systems highly benefit from internet connectivity. Data coming from in-vehicle sensors is accompanied with the data from the vehicle environment – urban infrastructure, traffic lights, surrounding vehicles, pedestrians’ mobile devices, or internet APIs all help in better prediction of driving conditions.
The ADAS systems require very-low latency to operate – as the reaction time in case of emergency has to be measured in milliseconds. This kind of latency, with improved bandwidth, became a reality with the popularization of 5G technology and networks.

Grape Up helps one of its OEM customers to build a system for managing the connectivity between the vehicle and cloud – starting from the connectivity activation, through lifetime and runtime operations, to data plans management. The system is integrated with all world-renowned MNOs, including Cubic Telecom, T-Mobile, Vodafone, or China Unicom.

Integrate 3rd party apps/services into vehicles to open new revenue streams

Today's infotainment systems are a bit like smartphones. Navigation, entertainment features, internet browsing, calling, and even detailed car settings are all mostly done through this digital touchpoint.
Allowing 3rd parties to be able to integrate the completely new application and showcase them on the infotainment screen opens completely new revenue streams for the OEMs. Applications like Spotify are heavily used by drivers, but also corporate users may have their fleet management systems integrated. Skoda Auto recently showcased a use case, where commercials of the nearby special offers appear on the navigation system turning their infotainment system into advertising media.

Analyzing behavioral data and driving patterns based on car telemetry

Analyzing behavioral data allows automotive companies to unlock the potential for cost reduction, open new revenue streams, or even create new business models.
In the insurance industry, it is a fundamental feature allowing for pay-per-use offering as well as granting safe drivers with discounts for the insurance policies.
For the automotive industry, however, it can be treated as the base for predictive maintenance – it allows to plan maintenance works based on the usage of car components, but also to help to analyze the range of the electric car battery based on the long term driving patterns.
For the rental car business, it allows to offer discounts for safe drivers but also allows to propose features and vehicles most suitable for them based on the patterns of their previous behavior.

Integrating OEMs telemetry APIs for shared mobility purposes

Integrating OEM’s Telemetry is one of the crucial aspects allowing to unlock new revenue streams as well as reducing operational costs for the mobility providers. One of the key unlocked features is to allow for the bi-directional communication between the car and the user. Locating the car in the parking lot, opening/closing the car from the mobile application, or checking the fuel level significantly increases user satisfaction. On the other hand, analyzing the behavioral data of the driver or the car telemetry itself allows insurance providers to create pay-per-use insurance or discounts for safe drivers.
Grape Up has a proven track record of designing and developing complete telemetry platforms, creating APIs for OEMs that can later be exposed for 3rd parties but also consuming APIs of different OEMs and integrating these data with internal systems.

Geofencing for theft prevention and location-based services

Geofencing increases the safety of fleet companies' operations by adding the ability to track the location and alert on breaking the agreed boundaries. This is most often a case when a vehicle gets stolen, or a customer tries to avoid higher charges for going abroad. With location-based services, the rental or fleet company is immediately notified of such violation and can act appropriately.
One of Grape Up’s customers – a rental car company, developed a Stolen Vehicle Identification system based on OEM’s Telemetry and Geofencing. During just 6 months from launching this feature and integrating it with its internal fleet management system, the company was able to locate 356 missing (stolen or impounded) cars, thus saving hundreds of thousands of dollars by recovering cars, as well as administration costs.

Reduce manual labor and improve customer experience with touchless mobile apps

Breakthrough of the COVID-19 pandemic completely changed the way we work and live thus also changing the way we travel, rent, buy or lease cars. It is now crucial for mobility providers to allow their customers for a counter-less rental experience allowing them to avoid queues, but also unnecessary contact.
For one of its customers, Grape Up has designed and developed a touchless system allowing clients to rent a car directly from a mobile phone. Complete customer journey comes to selecting a car, buying insurance and additional features, paying through mobile phone then locating and opening/closing the car - all from the mobile device. The platform is integrated with OEMs Connected Car platform APIs and an internal telematics system, making the system robust and responsive.

Productionize machine learning and AI

While 90% of enterprises work on Data Science projects, only 10% of these companies constantly and successfully deploy their projects to production. We create scalable, resilient, and robust cloud platforms enabling developers to quickly develop Data Science and ML experiments and deploy them to production in one day. We have a proven record of successful MLOps projects built on AWS, Azure, and Google Cloud platforms, leveraging cloud-native tools such as MLFlow and Kubernetes and robust automation based on Terraform.

Improve solution resiliency through a scalable, multi-cloud platform

With the increased usage of connected digital systems and platforms, the need for scalability became mandatory. The number of vehicles and devices simultaneously connected to the automotive cloud platforms surges, and scalability became one of the core system requirements. Not only for resiliency but also to reduce costs and allow enterprises to pay only for used resources. It has to be paired with global availability, made possible through hybrid and multi-cloud deployments, spanning from company premises, through well-known European, and US providers such as AWS or Azure to the blooming Chinese market.

Grape Up has a strong experience in building reliable, scalable cloud platforms based on modern, proven tools such as Kubernetes and Cloud Foundry and providers including AWS, Azure, Google Cloud, VMware, and OpenStack. We have successfully deployed services and platforms to the AWS China region, increasing availability on that market.

Reduce outage risks with real-time platform observability and alerting

Breakage of the feature or platform unavailability results in both income reduction and the loss of customer trust. Customer satisfaction and trust, once lost, is extremely hard to regain. That’s why the platform and services observability is one of the most important project KPIs. With alerting built on top of it, most of the outages can be prevented and the platform and services status is always clearly visible to all stakeholders. Grape Up DevOps engineers are highly proficient in building observable architectures. We have built metrics and logs layers for enterprises dealing with millions of transactions per day both in the automotive as well as retail industries.

Recommendation engines based on AI/ML to boost sales

In the modern automotive business, not only traditional dealerships or over-the-counter sales drive revenue for today's mobility providers, vehicle manufacturers, and OEMs. Today, recommendation engines and mobile applications generate an increasing amount of sales records. Acknowledging the business value of recommendation systems, Netflix estimated that their recommendation engine is worth $1bln yearly.
Rental car companies use these solutions in upselling to encourage customers for additional insurance, a higher grade vehicle, and other additional features. Leveraging recommendation systems vehicles enterprises increase sales and improve customer experience.
Our data science and data engineering departments have a proven track record of creating machine learning algorithms and combining them with e-commerce systems allowing automotive companies to take benefit from recommendation engines based on previous purchases.

Understand your ML predictions and reasoning – Explainable AI

Artificial Intelligence has proven to be a good way to tackle problems, which seemed impossible before. For the general audience, most of the ML is a black box, which accepts data and responds with prediction or identification. Algorithms are complex and hard to understand for non-data scientists. With explainable AI, the problem resolution path can be exposed to customers and stakeholders, making the bottlenecks and reasons for wrong reasoning visible.
Grape Up Data Scientists can help you build an ML system allowing stakeholders, developers, and customers to comprehend the prediction process and, as a result, have more trust in the results.

Minimize support costs and prevent data loss with a scalable, common data streaming platform

Building multiple platforms for storing the data is costly, hard to maintain, and can result in data loss due to incorrect handling. This problem can be resolved by building a common data streaming platform able to handle real-time data for the whole enterprise. Built with scalability and redundancy in mind this kind of platform can effectively withstand and resist problems in having a system of distributed, different platforms and storage systems. The support cost is also lower.
Grape Up experts are highly experienced in creating and maintaining efficient and scalable data streaming platforms based on Kafka that are currently being used among Grape Up customers representing automotive and financial institutions around the world.

Democratize access to the data for the whole enterprise through ETL and data mesh

Data is a lifeblood of an organization. Each department generates and gathers enormous amounts of data about customers, products, or the environment. This data can be used to enable new revenue streams by creating better offers and improving understanding of customer needs. Data analytics can also result in reducing the cost by improving the bottlenecks and identifying pain points.
Building systems or ML algorithms leveraging the available data can be extremely complicated if the data is siloed and available only inside the department. Democratic access to the data across the enterprise helps to build better products faster and easier while having a single point for data storage makes the operations easier. Storing the heterogeneous data in data lakes and data meshes is easier for developers and data scientists.
For one of our customers, Grape Up engineers have already implemented the modern data storage, starting from the ETL/EL(T) system, through the data lake and ML system built on top of it while maintaining enterprise-grade privacy and GDPR compliance.

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automotive expert
consultation?

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Marcin Wiśniewski

Business Development - Automotive

Adam Kozłowski

Solution Architect - Automotive

Our consulting and software development
services designed for the automotive industry

Our Cloud services

Connected Car
Architecture Design
Connectivity Software / Platforms Development
DevOps
Cloud & Edge Computing
Vehicle Software Updates (SOTA/FOTA)
Cloud R&D
Software
Engineering
System Integration

Our AI services

Data
Engineering
Data
Science
MLOps
ML@Edge
Computer
Vision

See our approach to automotive
software development

why Grape Up

Our certifications

9001
Quality Management
27001
Information Security

Learn about business trends in automotive

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Get tech insights into building automotive software

Machine Learning at the Edge – Federated Learning in the Automotive Industry

Machine Learning combined with edge computing gains a lot of interest in industries leveraging AI at scale – healthcare, aut
IoT SaaS – Why Automotive Industry Should Care, and Which AWS IoT or Azure IoT is Better to Use as a Base Platform For Connected Vehicle Development
How to Monetize Vehicle Data Thanks to In-car Technologies – What’s Inside a Software-Defined Vehicle – Part 2
find more on our blog

Need help with automotive software development?

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