ASAM ODS Cross-Test and Hackathon Demonstrate Interoperability and Unlock New AI Applications

After a two-year break, ASAM brought back the ASAM ODS Cross Test, giving developers and experts the opportunity to test interoperability between different implementations of the A public specification, which has been developed by experts in a defined consensus-driven development process and was released by officials that represent a significant share of the industry for which it is targeted, giving the specification the necessary legitimacy to be called a 'Standard'.Standard, identify issues, and work on solutions together. This year, the event introduced an additional element: a Python Hackathon that explored how to access ASAM Open Data Services (ASAM Standard)ODS data and use it for AI-supported analysis.

Putting interoperability to the test

One of the key benefits of ASAM Open Data Services (ASAM Standard)ODS is the ability to exchange and access test data across different tools and systems, independently of individual vendors. The Cross Test provides an opportunity to verify this interoperability in practice. Participants tested seven different ASAM Open Data Services (ASAM Standard)ODS clients against eight servers with two of the clients being tested in a cross test for the first time. By the end of the initial setup, all clients had successfully established a connection to at least one server.
 

One highlight was the fact that several servers already supported features introduced with ASAM Open Data Services (ASAM Standard)ODS 6.2.1 (released in January 2026), including OpenID Connect (OIDC) for establishing connections between clients and servers and External Data Plugins for integrating external files and data sources. Both features were included in the test matrix, allowing participants to examine their implementation across different products.

Throughout the event, developers worked together to test client-server combinations, investigate issues and discuss solutions. This direct collaboration helped identify implementation differences and opportunities for improvement.

Python meets ASAM ODS – and AI

Alongside the Cross-Test, participants explored new ways of working with ASAM Open Data Services (ASAM Standard)ODS data during a Python Hackathon. Led by Andreas Krantz from Peak Solution, the hands-on sessions demonstrated how to access ASAM Open Data Services (ASAM Standard)ODS servers using Python. Participants worked with Visual Studio Code and prepared Jupyter notebooks to complete practical programming exercises and to explore how the retrieved data can be processed and analyzed. A particular highlight was the use of agentic AI to analyze ASAM ODS data and generate graphical visualizations.

The Hackathon demonstrated how standardized access to test data can support AI-assisted analysis and new data-driven workflows. It also illustrated the potential of combining established standards with emerging technologies.

Turning test results into improvements

Beyond demonstrating interoperability, the Cross Test generated concrete input for the further development of ASAM Open Data Services (ASAM Standard)ODS. Several issues identified during testing resulted in change requests that were submitted directly to the ASAM Open Data Services (ASAM Standard)ODS working group's issue board. These included clarifications and corrections concerning application model relationships, attribute definitions, Hypertext Transfer Protocol (IETF/W3C Standard)HTTP Application Programming InterfaceAPI queries and Noise, Vibration and HarshnessNVH data structures.

The greatest value of a Cross Test lies in the direct collaboration between developers of different client and server solutions. By investigating issues together, clarifying interpretations of the A public specification, which has been developed by experts in a defined consensus-driven development process and was released by officials that represent a significant share of the industry for which it is targeted, giving the specification the necessary legitimacy to be called a 'Standard'.Standard and jointly developing solutions, participants can resolve implementation challenges on the spot and improve interoperability across products. The results benefit both sides: Participating companies gain valuable insights for improving their implementations, while the ASAM Open Data Services (ASAM Standard)ODS working group receives practical feedback that can feed into future A public specification, which has been developed by experts in a defined consensus-driven development process and was released by officials that represent a significant share of the industry for which it is targeted, giving the specification the necessary legitimacy to be called a 'Standard'.Standard development. Ultimately, this contributes to more reliable interoperability and better solutions for users of ASAM Open Data Services (ASAM Standard)ODS-based products.

International expertise, shared goals

The event brought together 26 participants from 15 organizations across Germany, Austria, Romania, India, and the US. In addition to the technical work, the event provided plenty of opportunities for informal exchange. Discussions continued during breaks and beyond the regular working hours.  

Participating companies: 

AVL List GmbH, ETAS GmbH, Ford Motors, HighQSoft GmbH, HORIBA, iASYS Technology Solutions Pvt. Ltd., imc Test & The process of recording data from internal ECU memory and external sensors.Measurement GmbH, Ingenieurberatung Bartz, Kristl, Seibt & Co. GmbH, measX, Müller-BBM VibroAkustik GmbH, Peak Solution GmbH and Siemens, with NI represented by Peak Solution. Ford participated remotely from the USA.

A big thank you to our member company Peak Solution for hosting the event and to all participants for their expertise, commitment, and contributions to the continued development of ASAM ODS.

If you would like to learn more about what has been tested, please contact dorothee.bassermann[at]asam.net.