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Transfer knowledge:to people and to machines.

Captured knowledge sitting in a file share helps nobody. Omnora brings it into the formats teams use and into the systems your AI works with. With clear processes and governance.

Request a demoTry an AI interview in 3 min
  • Subtitles in 140 languages
  • SCORM and xAPI
  • MCP server

650+ companies trust Omnora

  • Deutsche Bahn
  • DPD
  • Viessmann
  • Generali
  • KfW
  • Kärcher
  • Würth
  • ADAC
  • Amprion
  • Süwag
  • Hauraton
  • SAF-Holland
  • BMW Bank
  • Gothaer
  • HanseMerkur
  • Alte Leipziger
  • Baloise
  • Gebrüder Weiss
  • Brillux
  • Einhell
  • Dussmann Group
  • Euromaster
  • Develey
  • Döhler
  • FTI Group
  • Bank für Sozialwirtschaft
  • amedes
  • AOK-Verlag

In short

  1. 1From captured knowledge, Omnora creates the formats people and AI systems actually use.
  2. 2For people: video training with quizzes, AI chat, playbooks, knowledge articles and SOPs.
  3. 3For AI systems: access via the MCP server and via RAG and REST API.
  4. 4Validation questions, owners and expiry dates keep the knowledge current.

One interview, many formats.

Managers need summaries, new hires need step-by-step guides, experts need the exceptions. One format for everyone does not work.

Human to human: knowledge that lands

  • Video trainingStandards and exceptions as short training with AI avatar and quiz, subtitles in 140 languages, into your LMS via SCORM.
  • AI chatAnswers recurring questions from validated knowledge and shows where each answer comes from.
  • Knowledge documentsPlaybooks, handover documents, knowledge articles and SOPs. Brief up front, with depth for the special case.
  • PodcastsAudio summaries for field staff and managers who take in knowledge on the move.
  • Onboarding pathsPlanned transfers as a sequence with proof of progress, not a document in a file share.

Human to machine: context for your AI

  • MCP serverYour agents retrieve knowledge, steer knowledge capture and create formats, over an open standard.
  • RAG and REST APIAnswers with sources for chatbots and copilots, raw data for applications and workflows.

Delivered to:LMS via SCORM/xAPISharePointMicrosoft TeamsIntranetCopilot

The interview becomes video training.

Standards and exceptions become short training with AI avatar and quiz, in your own branding, with subtitles in 140 languages and voice-over in 50+. Rolled out via SCORM into your LMS or embedded in Teams and the intranet.

  • Chapters straight from the captured knowledge
  • Quiz with completion record, as SCORM or xAPI
  • Subtitles in 140 languages, voice-over in 50+
More on Authoring Automation

Context for your AI.

Copilots and AI agents draw on verified, approved knowledge instead of file shares where nobody knows what is valid. Every answer comes with its source, owner and expiry date.

  • MCP server for agents and tools
  • RAG API for answers with sources
  • REST API for workflows and applications

Knowledge that holds. And stays current.

Every knowledge item has an owner, an approval and an expiry date.

  1. 1

    Owner

    Settle what is valid

    Statements from interviews and documents are structured into one version that teams and AI use.

  2. 2

    Approval

    Approvals and roles

    Owners approve content. Role permissions control who sees and edits what.

  3. 3

    Expiry date

    Update in a controlled way

    When processes change, updates are traceable: what is new, why, and since when.

  4. 4

    Validation

    Close the gaps

    Omnora shows where knowledge is missing, especially in exceptions, handovers and escalations.

Video training, exports and MCP from €299 a month.

On the Free plan you use the AI chat in your account. From Business, video training is created automatically in your own branding, with exports and MCP access. SSO and role permissions in Enterprise.

See pricing

Hosted in Germany, GDPR compliant

All prices in EUR, plus VAT.

AI needs a verified knowledge foundation.

AI projects rarely fail because of the technology. They fail for lack of company context.

95%
of AI pilots
show no measurable ROI
Source: MIT NANDA, 2025
60%
of AI projects
without AI-ready data will be abandoned by the end of 2026
Source: Gartner, 2025
> 50%
of employees
use private GenAI tools at work
Source: Gartner, February 2026

The right interface for every integration.

MCP serverConnect agents and tools in a standard wayRetrieve knowledge, steer capture, create formats
RAG APIAnswer questions with sourcesChatbots, copilots, knowledge bases
REST APIIntegrate data into your IT landscapeApplications, workflows, dashboards
SCORM and xAPITraining into the LMS, including trackingLearning management systems
EmbedShow content where people workIntranet, SharePoint, Teams

Frequently asked questions

What is an MCP server?

MCP stands for Model Context Protocol, an open standard through which AI assistants and agents access knowledge sources and functions. Through the Omnora MCP server your agents retrieve verified knowledge.

What is the difference between the RAG and REST API?

The RAG API returns answers including sources, ideal for chatbots. The REST API returns raw data for your own applications and workflows.

What comes out of an interview?

Depending on need: video training with quizzes, AI chat, playbooks, knowledge articles, SOPs and podcasts. The goal is use, not storage.

How does the knowledge stay current?

Validation questions, owners and expiry dates ensure that outdated content is spotted and updated in a controlled way.

Is our knowledge used to train AI?

No. Customer data is never used for model training. Hosting is in data centres in Germany, processing in the EU, with no data transfer to the US.

One interview becomes training, chat and AI context.

In 30 minutes we show you, using your case, how knowledge reaches people and machines.

Request a demoTry the AI interview

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