UBS Hainer has been in the Data Orchestration space since 1997, helping clients to migrate data and to make it available to their QA, engineering and analytics teams, in the mainframe as well as the distributed world. Data accessibility is an increasingly important bottleneck as development teams speed up with the help of AI tools. QA, model training as well as analytics cannot be done without high-fidelity, real world data. Access is often restricted due to privacy and security regulations, especially in highly regulated fields such as banking, insurance and healthcare. Our XDM Data Orchestration Platform makes masked production data available to testers, ML engineers and automation engineers, bridging data availability bottlenecks without sacrificing compliance by exposing sensitive PII / PHI. Where no production data is available, it can generate synthetic data using AI. Fully automate your data distribution or have data consumers "order" referencially intact data on demand in business terms from a web GUI, without needing to know specifics about how data is stored and related across different sources. XDM can copy and subset data from a wide range of database and cloud storage technologies. Sophisticated and highly-customizable masking algorithms and the PII-finder tool ensure no sensitive information is distributed to test / training environments. XDM is distributed as a set of docker / OCI images, can run on premise or in the cloud. A REST API gives operators full control over functionalities and facilitates integration into existing CI/CD pipelines. Don't hesitate to reach out at ubs-hainer.com or LinkedIn!