Organize

Intelligently structure knowledge

Experience

Apply knowledge efficiently

Semantic Search

Understands relationships and context

Smart Knowledge Chat

Interacts with your knowledge

AI Classification

Automatically structures knowledge

Improved data quality

Reliably ensures the quality of knowledge

Feature Requests

Submit ideas & help shape the future

Technical knowledge for complex machines

JUNOfy makes complex engineering knowledge centrally accessible across designs, variants, assemblies, suppliers and the entire machine and project lifecycle.

Zwei Mitarbeitende arbeiten mit technischem Entwurf und digitalem Modell gemeinsam an einem Tisch und stehen für Wissensmanagement, präzise Planung und strukturierte Entwicklungsprozesse im Maschinenbau.

Benefits for mechanical engineering companies

Tangible benefits for your business

Reduced search times

Employees spend an average of 35% less time searching for information.

Increased capacity

Up to an average of €119,306 can be saved annually per 75 employees.

Faster onboarding

The training period for new employees is reduced by an average of approx. 30%.

AI-powered

JUNOfy provides reliable AI-powered search and easy access to relevant knowledge.

Structure

Structured and unstructured information is made available centrally.

Regulatory compliance

Reliable implementation of internal or legal requirements.

Challenges

Fragmented documentation

Time-consuming searches and coordination

Different information requirements

Fragmented knowledge

Errors due to outdated information

High documentation requirements

Use Knowledge, without searching for it:

AI is only as good as its context. JUNOfy makes the difference.

Use cases

How JUNOfy optimises your daily work processes

Design & Development
Design & Development

Making reliable technical decisions

Technical information on components, standards, variants and dependencies is available within the relevant engineering context. Design decisions can be based on reliable knowledge and remain fully traceable.

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Connect, organise and experience knowledge

Three steps from content to smart use.

JUNOfy connects technical information on machines, assemblies and components from CCMS, SharePoint, file systems or other sources. Blueprints, specifications, standards and manufacturer documentation can be accessed centrally. This creates a comprehensive overview of all relevant information relating to your products.

Complex information about machines, assemblies and variants is structured systematically by product, configuration, process and technical requirement. AI helps to classify content in a meaningful way and make heterogeneous data usable. Technical relationships become transparent and remain traceable.

Departments such as engineering, production, service, quality and sales can quickly and easily find relevant information within their specific work context. The semantic search, context-based navigation and the Smart Knowledge Chat make it easier to access complex engineering knowledge. AI needs context. JUNOfy provides it.

Security & compliance

Verified standards for quality and security – trust built on certification

Certified information security. Confidentiality, integrity and availability of your data.

Certified quality management for the development, sales, and support of software solutions.

Secure handling of personal data in accordance with applicable data protection law.

  • What is JUNOfy as a knowledge management software for the mechanical engineering sector?

    JUNOfy is an intelligent knowledge platform for the mechanical engineering sector. It connects content from different systems, organises it in the right context and makes knowledge easy to use. The focus is not on document management, but on understanding and using knowledge – across machines, assemblies, variants and the entire machine lifecycle.

  • What benefits does a knowledge management software such as JUNOfy offer in the mechanical engineering sector?

    Less search time, more clarity: companies save up to 35% of the time spent searching for information, reduce errors in engineering, manufacturing and service, and improve the quality of their decisions – from development right through to after-sales.

  • Can existing data structures be integrated into a knowledge management software for mechanical engineering?

    Yes, they can. Existing metadata and structures from CCMS, SharePoint, file systems, Confluence or other source systems can be transferred to and used in JUNOfy. At the same time, JUNOfy automatically enriches missing information using AI. This creates a uniform knowledge base without losing existing work.

  • Does technical knowledge need to be perfectly organised for a knowledge management software in mechanical engineering?

    No, it does not. JUNOfy is designed to work with incomplete or inconsistent content – whether it is engineering drawings, bills of materials, service manuals or supplier documentation. AI functions automatically improve structure, naming and metadata. Good results do not require perfect source quality.

  • How up-to-date is the content on a knowledge platform for mechanical engineering such as JUNOfy?

    JUNOfy works directly with the connected source systems. Changes to documentation, designs, or specifications are automatically synchronized. This keeps knowledge up-to-date without having to manually maintain content multiple times.

  • Does the knowledge management software for mechanical engineering include an AI chatbot?

    Yes, there is. The Smart Knowledge Chat only accesses content available in JUNOfy. For example, a service technician can ask in natural language about the maintenance intervals and spare parts for a specific machine model and receive a clear answer with a source reference, even if the information comes from CCMS and service manuals. External or unauthorised sources are not used.

  • What distinguishes the semantic search in a knowledge management system from a traditional full-text search?

    JUNOfy understands the meaning behind a query and not just the terms used. This ensures that staff can find the right information even if the terms used internally differ from those used by the supplier or in the manufacturer’s documentation. This saves time and delivers more precise results.

  • Can a knowledge management software organise knowledge by machine, assembly or variant?

    JUNOfy organises technical knowledge via knowledge landscapes, for example by machine type, model series, assemblies or configurations. This enables staff to find the specific information relating to a particular machine or variant without having to navigate manually through file structures or different systems.

  • How quickly can a knowledge management software be implemented in the mechanical engineering sector?

    JUNOfy is cloud-based and can be integrated into existing systems without extensive IT projects as a complement to your existing specialist systems – whether these are CCMS, SharePoint or Confluence – without replacing them. The first knowledge areas can be put into productive use in just a few weeks. The complete rollout takes place step by step and without interrupting operations.

  • How secure is a knowledge management software for mechanical engineering companies?

    JUNOfy provides comprehensive protection for your data: All content is transmitted and stored securely, and role-based access and clear rights ensure that only authorised persons have access. Changes and accesses are traceable, regular backups prevent data loss, and the cloud architecture ensures high availability and scalable operation.

  • Is a knowledge management software such as JUNOfy GDPR-compliant?

    Yes, it is. JUNOfy meets the requirements of the GDPR in all relevant areas: personal data is only processed according to clearly defined authorisations, deletion and export options are guaranteed, and the platform runs exclusively in German or European cloud environments with high security standards.