Founders words

As featured in Future Vehicle magazine, ODOS CTO Joachim Englund sat down to discuss the future of cloud-based data logging, AI, and the technologies shaping next-generation mobility. In this in-depth Q&A, Joachim shares insights on industry trends, the rise of “logger light” systems, and ODOS’s vision for enabling smarter, cleaner, and more connected solutions across automotive, industrial, and heavy-duty sectors.

1 Your Name Job Title and Responsibilities?

I am Joachim Englund, Founder and Chief Technology Officer (CTO) of ODOSOLUTIONS AB (ODOS). I lead the development of next-generation data logging and analytics solutions, ensuring they align with the evolving needs of the automotive, industrial, and heavy-duty sectors. My focus is integrating edge, cloud, and AI technologies to enable real-time insights, predictive diagnostics, and scalable global fleet data management.

2 Could you tell me a little about your background in the sector?
I have a strong background in automotive measurement, instrumentation, and data acquisition, working with OEMs and testing technology providers. Starting at SAAB Automobile in vehicle testing and calibration, I later managed IPETRONIK in Sweden and the UK. As ODOS Founder and CTO, I develop remote data logging platforms to advance vehicle development and cleaner propulsion technologies.

3 Could you provide a brief summary of your organisation and offering to the market?

ODOS is a leader in cloud data logging and real-time remote monitoring solutions for ECU networks. 

Our end-to-end system integrates ruggedised hardware, cloud connectivity, and big-data analytics to enhance performance across industries like automotive, marine, and defence. With IP67-rated durability, real-time fleet monitoring, predictive maintenance, and OTA updates, we help businesses optimize efficiency, reduce downtime, and drive next-generation mobility solutions.

4 Who in the main are the companies you engage with and in what way?

We primarily collaborate with OEMs and Tier 1 suppliers who require worldwide remote data logging and analytics for electric and hydrogen propulsion systems, energy generation, and storage technologies. Our solutions support key industries, including automotive, marine, defence, mining, rail, construction, and public transport fleets, helping them optimize vehicle performance, reduce emissions, and accelerate the adoption of alternative propulsion systems.

5 What are your reflections on 2024?

2024 was a transformative year, with economic pressures, rising costs, and a rapid shift to alternative propulsion. Meanwhile, demand for scalable, cost-efficient data solutions surged.

For ODOS, it was a year of progress. We launched the Megalog datalogging series, integrating edge processing and cloud solutions to streamline testing and accelerate time-to-market. Our technology supported next-gen hydrogen and electrification projects, reinforcing our leadership in rugged remote data logging. The key takeaway was that adaptability and innovation drive progress. 

6 What do you see as the key trends in the sector?

The transportation and industrial sectors are evolving with advancements in alternative propulsion technologies. Automotive is shifting to EVs, hybridization, and hydrogen combustion engines. Rail transport is moving towards battery-electric and hydrogen fuel cell trains for sustainability. Marine explores ammonia, methanol, and hybrid propulsion. Aerospace focuses on hydrogen, Sustainable Aviation Fuel (SAF), and hybrid-electric systems to cut emissions. Off-highway industries, including mining and construction, integrate modular hybrid ICEs and battery-electric machinery for efficiency. The defence sector advances autonomous and hybrid-electric drive systems for stealth and operational effectiveness. These innovations drive sustainability, efficiency, and competitiveness across industries.

7 How can companies best deal with data management and handle vast amounts of information quickly, accurately, and with minimal overhead?

Managing vast amounts of ECU, propulsion system, and operational data efficiently requires a combination of cloud computing, edge processing, big-data analytics, and strategic data governance. We assist customers by implementing edge computing to process data directly at the source, reducing cloud transmission costs and latency. Our data streaming pipelines enable real-time ECU network monitoring through high-speed messaging and event-driven architectures. We also provide cloud data lakes for scalable storage of structured and unstructured propulsion system data while ensuring security and compliance through encryption, access control, and automated regulatory checks. These technologies enhance data processing speed, reduce infrastructure costs, and improve real-time decision-making accuracy.

8 How can companies manage their data logging and analysis processes and reduce time for deployment, configuration, and data post-processing?

Companies can streamline their data logging and analysis by adopting logger light solutions that enable rapid deployment, automated configuration, and real-time processing. Cloud-based storage and big-data analytics reduce manual data handling by automatically filtering, prioritizing, and analysing ECU signals. Edge computing minimizes data transmission by processing key insights locally, while standardized workflows and automated reporting further cut post-processing time. By integrating these technologies, businesses can improve efficiency, reduce overhead, and accelerate decision-making across the entire product lifecycle.

9 This shift is exemplified in the move towards “logger light” systems – could you expand on this?

The shift to “logger light” systems is transforming data collection, management, and analysis. Traditional logging required complex setups, manual configurations, and extensive human intervention. Now, industries demand faster insights with lower overhead, driving adoption of streamlined, automated solutions. These systems reduce setup time with plug-and-play functionality, cut processing costs by filtering unnecessary data, and enhance real-time decision-making through automated diagnostics. Remote monitoring and over-the-air connectivity provide continuous access to critical data, enabling faster development, optimized operations, and shorter testing cycles. By embracing logger light systems, companies can focus on actionable intelligence, boosting efficiency and innovation.

10 Could you tell me more about the recently launched Megalog datalogging series?

The Megalog is a ruggedized, high-performance CAN-FD data logger designed for automotive, industrial, and heavy-duty applications. With plug-and-play setup, edge processing, and real-time analytics, Megalog enables faster deployment, reduced data handling overhead, and instant insights for R&D, production, and fleet monitoring. Built for harsh environments (IP67-rated, high-voltage isolation, built-in UPS) and equipped with 5G Red CAP, WiFi 6, and cloud integration, it ensures continuous, scalable, and secure data collection. By streamlining data logging and analysis, the Megalog optimises business performance, reduce costs, and accelerate development.

11 Do you have a project or case study you could provide some details of?

We supported the launch of a next-generation hydrogen combustion engine for a leading manufacturer. Our ruggedised data logging solutions captured and analysed high-speed CAN-FD data in real-time, optimizing engine performance, fuel injection, and emissions. With edge processing and cloud analytics, we streamlined validation, reduced testing cycles, and accelerated time-to-market, proving the value of advanced data logging in alternative-fuel powertrains.

12 Why is the integration of advanced technologies like Cloud, AI and big-data analytics into logger light solutions another game-changer?

Integrating Cloud, AI, and big-data analytics into logger light solutions transforms raw data into real-time intelligence, reducing deployment effort, processing time, and costs. Cloud storage enables seamless remote access, eliminating manual data retrieval. AI automates anomaly detection, predictive maintenance, and optimization, while big-data analytics ensures scalable processing of high-volume telemetry. Together, these technologies make data logging faster, smarter, and more cost-effective for industries relying on mission-critical decision-making.

13 Why is it that as industries move towards greater sustainability and cost-efficiency, the role of data logging systems in supporting these transitions will only become more critical?

As industries shift towards sustainable and cost-efficient technologies, remote data logging systems with global coverage are essential for optimizing energy consumption, reducing emissions, and ensuring regulatory compliance. Advanced logging solutions provide real-time insights, allowing manufacturers to monitor electric and hydrogen propulsion systems, detect inefficiencies, and implement predictive maintenance to extend equipment lifespan. Integrated with edge processing, cloud analytics, and OTA connectivity, modern data loggers enable seamless monitoring and updates, even in remote locations. By ensuring continuous data access and diagnostics, these systems streamline testing, validation, and operations, accelerating the adoption of next-generation technologies while maintaining reliability and profitability worldwide.

14 What are your objectives looking ahead through 2025 and beyond?

Our goal is to innovate scalable remote data logging solutions that support cleaner, more efficient, software-defined vehicles. We’re expanding logger light solutions to simplify deployment, configuration, and processing. Enhanced cloud analytics and edge processing will deliver faster insights for OEMs and Tier 1 suppliers. Strengthening cloud connectivity and big-data integration ensures secure, scalable fleet-wide analytics. We also support alternative propulsion with real-time monitoring for hydrogen combustion, fuel cells, and electrification. Expanding into industrial and heavy-duty sectors, we drive efficiency, reduce costs, and promote sustainability through advanced real-time diagnostics and ruggedized data logging.

15 What are the main challenges facing the sector more generally and for you specifically?

The automotive sector faces challenges from electrification, rising costs, and global competition. Manufacturers struggle with declining production, high labour and energy costs, and slower EV adoption. Subsidy cuts, trade tensions, and supply chain issues add pressure, while competition from low-cost manufacturers, especially in China, erodes market share.

For ODOS, staying ahead in remote data logging and analytics is key. As vehicle architectures grow complex, demand for scalable, secure, cloud-integrated solutions rises. Our focus is delivering fast, reliable, and cost-efficient tools to streamline testing, improve energy efficiency, and accelerate next-gen vehicle development, from hydrogen to battery-electric and hybrid powertrains.

16 How would you sum up your message to the market?

As the industry navigates increasing complexity, cost pressures, and the transition to sustainable mobility, ODOS is delivering next-generation, scalable data logging solutions that empower manufacturers to innovate faster, optimize efficiency, and reduce time-to-market. Our cutting-edge technology—integrating AI, edge processing, and cloud analytics—enables real-time insights for developing and deploying advanced propulsion systems worldwide, from hydrogen to electric. We are committed to providing robust, future-proof solutions that help businesses stay ahead in an evolving automotive and industrial landscape.