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MLbase: A User-friendly System for Distributed Machine Learning. Machine learning (ML) and statistical techniques are key to transforming big data into actionable knowledge. In spite of the modern primacy of data, the complexity of existing ML algorithms is often overwhelming-many users do not understand the trade-offs and challenges of parameterizing and choosing between different learning techniques. Furthermore, existing scalable systems that support machine learning are typically not accessible to ML researchers without a strong background in distributed systems and low-level primitives.

Gatfol is an ontology-free, massively scalable, patented algorithm technology that acts as librarian between humans and data. Gatfol allows us to talk to- and reason with unstructured data everywhere.

PoolParty Extractor (PPX) supports scenarios relevant for enterprise metadata and information management: With PPX large amounts of documents can be analyzed by highly performant text mining algorithms and data integration can be realized based on linked data technologies. PPX´s API allows the integration of semantic technologies with other systems like CMS, DMS, web shops or Wikis.

"Enabling AI in every Application Automating the use of AI/ML models at every scale with the Serverless AI Layer."