Knowledge Management for Research and Development

INTERGATOR makes knowledge from projects, publications, and documentation accessible and delivers AI-powered, traceable answers for informed decision-making in research and development.

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Research knowledge exists

… but is difficult to access and poorly connected

In research organizations, valuable knowledge is continuously generated—in projects, publications, reports, and grant applications. This information is distributed across different systems and contexts and is often only accessible in isolation. Results exist alongside documentation, project knowledge alongside scientific publications—without direct connection.

Relationships between projects, methods, and findings often remain hidden. Interdisciplinary questions can only be answered with significant manual effort.

As a result, existing knowledge is not used as a basis for decision-making and must be repeatedly rediscovered.

Knowledge remains isolated within projects

Insights from completed or ongoing projects are difficult to find and rarely available in the right context.

Connections are lost

Links between publications, methods, and results must be established manually.

Interdisciplinary research is time-consuming

Questions across domains require extensive manual analysis.

Funding and compliance requirements increase effort

Relevant information must be compiled manually for reports and audits.

A digital information assistant for research knowledge

INTERGATOR connects distributed information sources from projects, publications, and documentation and makes them available as a centralized knowledge base. On this foundation, the platform enables analysis of relationships and delivers structured, AI-powered answers to domain-specific questions. Connections between projects, methods, and results are automatically identified and placed into context. Results are traceable and supported by concrete sources. This makes existing research knowledge systematically usable as a basis for informed decision-making.

Connect information sources

INTERGATOR integrates existing systems and unlocks content from projects, scientific publications, and documentation.

Identify relationships

Connections between projects, methods, and results are automatically identified and structured.

Deliver context-based answers

Domain-specific questions are answered based on existing information—including traceable sources.

Helmholtz-Center for Environmental Research UFZ

Fraunhofer Institute for Production Technology IPT

Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM

Fraunhofer Institute for Factory Operation and Automation IFF

Fraunhofer Institute for Photonic Microsystems

Fraunhofer Institute for Reliability and Microintegration IZM

GNS Gesellschaft für Nuklear-Service mbH

Typical use cases in research and development

INTERGATOR enables research organizations to make targeted use of existing knowledge from projects, publications, and documentation.

The platform helps identify relationships, answer interdisciplinary questions, and support informed decision-making based on existing information.

Make knowledge from projects and publications usable

Insights from research projects, scientific publications, and documentation are made accessible across systems and brought into a shared context. Existing knowledge can be reused in a targeted way and forms the foundation for new projects.

Answer interdisciplinary questions

INTERGATOR connects content across domains and reveals relationships between different subject areas. Complex questions can be answered in a structured way—even when relevant information comes from different disciplines.

Support funding and compliance requirements

Relevant information from projects, reports, and documentation is consolidated and prepared in a traceable manner. This simplifies reporting, audits, and the verification of research outcomes.

Context-based answers instead of document search

Instead of individual documents, users receive structured answers to specific questions—including sources and references. This makes existing knowledge directly usable as a basis for decision-making.

Secure and traceable use of AI for research knowledge

INTERGATOR operates within existing IT and security architectures and integrates with existing systems and data sources. The platform combines cross-system information access with AI-powered analysis—without compromising control over data, access, and processes.

Unlike generic AI solutions, all results remain traceable, context-based, and generated exclusively from your own information sources.

No black-box AI

Answers are based exclusively on your own data sources. All results are transparent, verifiable, and linked to concrete sources.

Operation within your infrastructure

INTERGATOR can be deployed on-premises or in a private cloud. Research data, project results, and intellectual property remain fully under your control.

Access rights and project contexts are preserved

Existing permission structures are adopted and enforced. Information is only made available within the respective project and usage context.

Integration into existing system landscapes

INTERGATOR connects document management systems, project platforms, data sources, and knowledge repositories without disruption. Existing systems remain in place and are meaningfully enhanced.

Deploy INTERGATOR in your research organization

Research organizations manage extensive knowledge assets from projects, publications, and documentation. INTERGATOR enables you to access this information across systems and turn it into a reliable foundation for analysis and decision-making.

In a guided demo, we show how distributed research knowledge can be structured, how relationships can be identified, and how AI-powered capabilities deliver reliable, traceable answers.

Together, we analyze your existing system landscape and identify concrete use cases for a digital information assistant in your organization.

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