Discover OpenFLaaS

Open Federated Learning as a Service

OpenFLaaS creates a toolkit for AI services with which companies can automatically analyze documents such as tenders, contracts and product sheets and thus efficiently use the knowledge they contain in digitalized form. The AI ​​services are carried out in protected rooms on end devices (edge ​​devices) in the company via the OpenFLaaS platform. The raw data of the documents remains in the company. The secure, sovereign and trustworthy exchange of the processed data as well as the execution of the AI ​​across the various devices takes place in data rooms that follow the Gaia-X standard. OpenFLaaS promotes the secure and efficient digitization of corporate knowledge to increase productivity while maintaining the company’s data sovereignty.

Market perspective and product promise Companies collect their knowledge, and thus their core corporate assets, in countless documents. With the help of AI, this knowledge can be analyzed in such a way that it can be used to increase efficiency, recognize new connections and thus extract new information, support decision-making, expand service offerings and much more. Given these advantages, it is not surprising that AI-supported document analysis already has a global market volume of over a billion dollars, even though the field is still in its early stages.

However, a major obstacle for IDA is currently the dilemma that the computationally intensive analyzes are carried out on cloud computers. Due to data protection reasons and a lack of trust in cloud providers, many companies are currently foregoing the potential of IDA. The OpenFLaaS project solves this dilemma by enabling companies to use IDA as a service (aaS), where the data remains within the company. This is made possible by the development of edge AI rooms that are easily connected to Gaia-X-compliant data rooms via plug-and-play. OpenFLaaS offers companies a cloud edge system for intelligent document and text analysis services on edge devices such as industrial systems and machines, computers, smartphones or tablets.

Any IDA-based value-added products and services in Germany and Europe can be developed based on the results of OpenFLaaS. These in turn can be continuously improved with the project solution, both in terms of their generalizability to any area of ​​knowledge and their adaptation or specialization to certain domains. Thanks to innovative algorithms, the CO2 emissions of the analysis processes are minimized because fewer data transactions are necessary between the edge and the cloud. The legal discussion and case law in the area of ​​data use for text and data mining (TDM) is currently still very dynamic. In the project, the legal risks are assessed and the framework conditions are defined under which commercialization of the data products can take place.