SPEDA makes health data more accessible! We build software to automate data extraction and structuring from electronic health record systems to increase efficiency in clinical research and help them create the best possible treatments for patients. Health data infrastructure is messy and interoperability is a big challenge. In clinical research data is transferred manually from one digital system to another. The manual process slowers research by years and expenses for the manual labor is estimated to be in the 6 digits scale (DKK). The global clinical research market is worth 54 billion USD and at least 20% is spend on manual data extraction processes. SPEDA utilize a mashup of technologies to build the software infrastructure that makes data transfer automatic. This ranges from integrations to healthcare systems and use of genAI to structure health care data. Better utilization of health records is essential to build the future of health care. Everything from cutting-edge ML models for preventative and personalized medicine to drug development is dependent on high quality data. If the infrastructure is not build the innovation and development is slowed and we will see a decrease in the quality of care.