Understand Knowledge. Connect Processes. Orchestrate Intelligence

Artificial Intelligence is transforming how companies leverage knowledge, make decisions, and automate tasks. But real impact only emerges when language models, data, and intelligent agents work together. With our Private GPTs and agentic systems, we bring the power of modern language models into your enterprise – secure, data-sovereign, and equipped with clear action capabilities. This creates AI systems that don't just answer, but understand, plan, and act – fully under your control.

• What We Offer

  We develop customized enterprise solutions based on modern Large Language Model technologies and agentic orchestration (e.g., through the Model Context Protocol, MCP). Our systems combine natural language interaction with process-intelligent automation – whether as an internal knowledge assistant, data analyst, or process agent. Our services include: Private GPT Architectures – Development and hosting of secure, internal language models RAG & Knowledge Integration – Connection and contextual utilization of your internal data sources Agentic Orchestration (MCP) – Coordination of specialized AI agents for complex workflows Deployment Options – either on-premises for maximum data sovereignty or in the European cloud for scalability and flexibility Security & Governance – Implementation with focus on data protection, transparency, and traceability This creates a scalable foundation on which your company can deploy Artificial Intelligence productively and responsibly – where your data should remain.

• Your Benefits

  With Haterko AI Labs, you gain access to the next evolution of Artificial Intelligence: Systems that understand knowledge, execute actions, and independently coordinate complex tasks – secure, traceable, and data-sovereign. The result: An intelligent, adaptable system that relieves teams, accelerates workflows, and enables your company to use AI as a strategic competitive advantage – whether locally or in the cloud, always Made in Europe.

• Our Approach

  Our approach combines conceptual thinking with technical implementation: Analysis & Goal Definition – Understanding your tasks, data flows, and use cases System Design – Development of a modular architecture consisting of Private GPT, knowledge module, and agent logic Prototyping & Integration – Development and connection to your data and process landscape Rollout & Operations – Implementation in the enterprise, either on-premises or in the cloud, with focus on security, user-friendliness, and scalability Our solutions are designed to grow with your organization – from a clearly defined use case to a comprehensive, agentically orchestrated AI ecosystem.




Application Areas




• Knowledge Management & Internal Communication

  Companies often possess enormous amounts of knowledge – distributed across documents, wikis, databases, and employees. Private GPTs make this knowledge accessible by answering queries in natural language and contextually aggregating relevant content. Example: An employee asks, "What is the approval process for product changes?" The Private GPT searches internal guidelines, project documents, and systems – and delivers a clear, traceable answer with source references. This creates an intelligent knowledge portal that democratizes knowledge and shortens decision paths.

• Customer Service & Support Automation

  With RAG-based GPT systems, support teams can respond faster and more precisely. The system understands complex queries, accesses manuals, tickets, or FAQ databases, and suggests contextual answers. Example: A customer reports a technical problem – the Private GPT recognizes the topic, searches internal knowledge sources, and delivers a solution that the support agent can adopt or automatically send directly. This creates hybrid support processes that increase efficiency, reduce response times, and relieve employees – without compromising data protection.

• Research, Development & Innovation

  In research and development, Private GPTs accelerate access to knowledge, ideas, and connections. By combining internal research reports, patents, databases, and external sources, they can extract, compare, and summarize relevant information. Example: A development engineer is looking for solutions for material fatigue in a component – the Private GPT delivers current studies, internal test results, and similar projects from the company's history. With agentic orchestration, the system can also automatically retrieve data from simulations or analyses and compile the results in a structured report. The result: Less search time, more insights, accelerated innovation.