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Customizable AI assistant platform to optimize workflows

Summary

Profile Type
  • Technology offer
POD Reference
TODE20250718004
Term of Validity
25 July 2025 - 25 July 2026
Company's Country
  • Germany
Type of partnership
  • Commercial agreement with technical assistance
  • Research and development cooperation agreement
Targeted Countries
  • All countries
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General information

Short Summary
A German startup delivers fully on‑premise AI agents designed to automate and optimize industry‑critical workflows. Solutions are hosted on EU/German infrastructure or clients’ private clouds, ensuring full data sovereignty and compliance. Highly customized and personalized AI platforms for selected use cases are delivered within 3–4 months for intelligent, enterprise-grade automation. The company is interested in commercial and research collaboration.
Full Description
A German startup has developed an AI assistant platform based on advanced open-source language models (e.g., Ollama, Mistral). The solution addresses key barriers faced by European SMEs in adopting AI technologies including:
- limited internal expertise on how to effectively integrate AI into existing workflows;
- insufficient resources to establish and maintain in-house AI development teams;
- legal and operational constraints due to strict data protection regulations, which limit the use of external or cloud-based AI services.

To address the identified challenges, the solution is designed for deployment within secure environments — either in certified German or EU-based datacenters or on-premises behind corporate firewalls. This ensures full compliance with European data protection regulations while enabling the integration of advanced AI capabilities into existing business processes.

The platform supports the creation and operation of dedicated, industry-specific AI agents tailored to enterprise needs.
Key functional modules include:
- document analysis & compliance: automated parsing and evaluation of contracts, regulatory documents, and audit trails to support compliance workflows and reduce manual review effort;
- customer support automation: AI-based triage of support tickets, generation of context-aware response suggestions, and analysis of customer sentiment to enhance service efficiency and responsiveness.

The primary focus of the offered automation solutions is on the following industries:
• education
• finance
• travel
• legal
• manufacturing

The modular, no lock-in architecture enables extensive customization to industry requirements, helping reduce up to 80% of manual, time-consuming tasks while keeping data securely within the EU or private infrastructure.

The company is looking for universities, research centers, and companies from the above mentioned five industries to jointly develop a specific use case. The company has already clients in these sectors for whom they have developed AI automation solutions — so-called AI agents.
Advantages and Innovations
● All AI processing takes place within certified German/EU-based datacenters or on-premise infrastructure. This ensures full compliance with GDPR and other European data protection standards. No data is transmitted to external providers.
● Private AI box architecture: a dedicated, self-hosted AI environment tailored to each customer’s infrastructure and security needs. Designed for organizations that require strict control over data and system access.
● Industry‑tailored agents: ready‑made configurations for education, finance, legal, manufacturing, and travel sectors accelerate deployment and ROI.
● Use sase co-development: the platform is adaptable and under continuous development with pilot partners.
● Human-in-the-loop integration: supports workflows where AI-generated outputs are validated by human experts, ensuring quality control, compliance, and accountability in sensitive processes.
● Rapid time‑to‑market: customised AI automation delivered in 3-4 months vs. years for legacy enterprise platforms.
● Scalable architecture: containerization and microservices design enables horizontal scaling to meet enterprise throughput demands.
● Competitive differentiator: all IP and sensitive data within EU borders.
Stage of Development
  • Concept stage
Sustainable Development Goals
  • Goal 9: Industry, Innovation and Infrastructure
  • Goal 4: Quality Education
  • Goal 17: Partnerships to achieve the Goal
IPR status
  • Secret know-how

Partner Sought

Expected Role of a Partner
The company is looking for universities, research centers, and companies from the following sectors to jointly develop a specific use case:
• Education
• Finance
• Travel
• Legal
• Manufacturing

The company has already clients in these sectors for whom they have developed AI automation solutions — so-called AI agents.

The role of universities and research centers will be to validate the theoretical and didactic aspects of the use case development. Companies, on the other hand, will test the use cases in real-world scenarios.
Type and Size of Partner
  • Big company
  • SME 50 - 249
  • SME 11-49
  • SME <=10
  • University
  • R&D Institution
Type of partnership
  • Commercial agreement with technical assistance
  • Research and development cooperation agreement

Dissemination

Technology keywords
  • 01003013 - Information Technology/Informatics
  • 01003003 - Artificial Intelligence (AI)
  • 01003006 - Computer Software
  • 01003004 - Computer Games
Market keywords
  • 02007016 - Artificial intelligence related software
  • 02007007 - Applications software
  • 02007011 - Manufacturing/industrial software
  • 02007010 - Education software
  • 02007020 - Artificial intelligence programming aids
Sector Groups Involved
  • Health
  • Aerospace and Defence
  • Digital
  • Tourism
  • Proximity & Social Economy
  • Creative Industries
  • Textiles
  • Energy-Intensive Industries
  • Agri-Food
  • Electronics
Targeted countries
  • All countries