Develops graph AI for real-time management of microbiological production systems in biopharmaceuticals. The pre-trained AI engine continuously optimizes fermentation parameters.
Vertical: AI Infrastructure
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Tensor AI Solutions
Develops explainable AI technology that makes AI decisions traceable, controllable and compliant with the EU AI Act.
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pi_optimal
Develops self-optimizing workflows based on reinforcement learning that continuously improve through learning from execution results.
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kausable.ai
Develops a foundation model that uses causal learning to enable AI systems to learn new skills without predefined training datasets.
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TextVerstehen GmbH
Automates the creation of knowledge graphs from heterogeneous data sources such as PDFs, databases and websites using the SmartGraph framework. The hybrid LLM-and-KG approach enables precise, explainable answers with traceable inference chains.
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Respeak
Provides municipalities and public authorities with an AI knowledge platform that integrates documents, SharePoint, Confluence and websites into a unified knowledge base. From the same source, the platform simultaneously serves a citizen assistant on the website and an internal knowledge assistant for case workers.
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Tabularis AI
Generates realistic synthetic training data and builds compact, domain-specific AI models for sovereign on-premise deployment.
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Logikon AI
Equips LLM applications with extended argumentation logic to make reasoning processes more transparent and controllable. The open-source project also develops critical-thinking AI tools for educational contexts.
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Parameter Lab
Develops tools and methods to audit and safeguard foundation models in the areas of data privacy, copyright compliance, hallucinations and explainability.
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Aleph Alpha
Develops European AI infrastructure for enterprises and public authorities. The AI suite PhariaAI enables the use of powerful language models with full data sovereignty and integrated explainability.