Engineers can select relevant measurements in ASAMCommander and immediately analyze them in FAMOS, including channels, units, sampling rates, and metadata. This eliminates manual file exports and simplifies working with large and complex measurement datasets.
ASAMCommander, built on HighQSoft’s AReS Libertas ASAM ODS 6 server, supports organization-wide search, filtering, and management of measurement data. FAMOS provides established workflows for analysis, visualization, automation, and reporting across automotive, aerospace, railway, and mechanical engineering applications.
The connection is based on open interfaces and standards. FAMOS offers a flexible Python API, while HighQSoft uses pyHQL for querying ASAM ODS data. As a result, measurement data can be integrated directly into FAMOS sequences without proprietary plugins, special vendor SDKs, or recompilation.
For automotive test campaigns in particular, the integration offers a clear productivity gain: engineers can select relevant measurements from thousands of datasets in ASAMCommander, transfer them directly to FAMOS, and begin evaluation immediately. Existing FAMOS analysis workflows, macros, and reporting processes can continue to be used while measurement data remains centrally stored in the ASAM ODS repository.
"FAMOS 2026 +AI can be easily connected to modern, cloud-based data management systems while supporting established standards such as ASAM ODS. This allows us to combine centralized data storage with powerful measurement data analysis – helping test and validation teams evaluate large volumes of data significantly faster and more productively,"
says Daniel Förder, Strategic Product Manager Software at imc Test & Measurement.
Visitors to Automotive Testing Expo Europe 2026 in Stuttgart from June 23–25 can experience FAMOS 2026 +AI live and discuss post-processing applications with imc experts, from plausibility checks and automated test bench evaluations to AI-assisted analysis workflows.
