Scibly vs. Langdock. Langdock gives your team every AI model. Scibly gives every AI your company's knowledge, and keeps it.
Two different approaches. Langdock is a tool your team works in. Scibly adds a knowledge layer to the tools you already have, working in the background.
How Langdock works
Langdock is an AI platform where your team chats with leading models, builds agents and runs workflows. To answer questions about company knowledge, it searches your connected tools. At its centre is a workspace for using AI, not a central, lasting knowledge base for the whole company.
How Scibly works
Scibly adds one central knowledge layer to the tools you already use. In the background, it brings together what's in documents, meetings and your people's experience, and links every piece of information to its source. Your team's AI tools can draw on this knowledge, always within each person's access rights. And because Scibly captures knowledge across the whole company, it also shows when important know-how sits with only one person.
Searched at every question, or known in advance. Langdock looks for the answer in your tools each time someone asks. Scibly has read and linked them before anyone asks.
Langdock, at every question
Scibly, before anyone asks
- The model has to guess which tools to search. If it skips the right one, so does the answer.Every connected source is read once and kept current, so no tool is left out.
- Each answer is only as good as the search inside Jira, Slack or Confluence, and the model sees only its top hits.The answer draws on facts already taken from every document, meeting and Interview.
- What belongs together stays apart: the ticket, the Slack thread and the meeting that decided it.People, topics and facts are linked across tools, so the answer tells the whole story.
- Every question starts from zero. Nothing found for the last one is kept.The knowledge grows with every source, and when something changes, the new state counts.
Already using Langdock? Scibly can be integrated.
Scibly doesn't replace your AI platform. If your team already works in Langdock, Scibly can be connected to it. Langdock can then draw on your company's knowledge when it answers, with a source for every statement.
What Scibly does differently. Four differences your team will notice in its first weeks.
01One shared knowledge base
In Langdock, knowledge lives in chats, uploaded files and personal memories, among other places, and is searched again for every new question. Scibly builds one shared knowledge base, where people, topics and facts are linked. It grows with every document, meeting and interview, and serves all your team's AI tools alike.
02No new interface
Langdock is a workspace of its own, with chat, agents and workflows. Scibly needs no extra interface your team has to learn. It works in the background and brings knowledge straight into the AI tools your people already use, Langdock included. Your existing workflows stay as they are.
03Meetings as a source of company knowledge
Langdock can record meetings without an extra bot, take notes and answer questions about past meetings. Scibly also turns the key content and decisions into shared knowledge, linked to the people, customers and topics involved. Weeks later, those decisions still count in answers about the topic, not only in that meeting's notes.
04Knowledge that isn't written down anywhere
Langdock uses information that's already documented. Scibly also captures the knowledge that so far exists only in your people's heads: in short interviews, it asks specifically for what's missing and makes the answers available to the whole team, with the expert kept as the source.
The key differences at a glance
| Scibly | | |
|---|---|---|
| Knowledge sources | Your tools, meetings and experts | Searches connected tools and uploaded files |
| No new interface | Works in your existing AI tools | Its own chat, agents and workflows |
| Connects your company's knowledge | People, topics and facts, each with its source | Chats, files and personal memories |
| Captures what your experts know | Makes undocumented knowledge accessible | No |
| Makes knowledge risks visible | Before important knowledge leaves the company | No |
| Learns from meetings | Turns decisions into shared knowledge | Meeting notes without an extra bot |
Scibly is a strong fit if…
- your team's know-how lives in Slack threads, tickets and a few people's heads, not in the docs.
- you want to see which systems only one person really knows, before they switch teams or leave.
- your team already works with Claude, Cursor, ChatGPT or Copilot and doesn't want another platform.
- every answer your AI gives should name its source, so anyone can check it.
As of 8 November 2026, from what Langdock publishes.
Sources:Langdock pricesLangdock MeetingsLangdock Company KnowledgeLangdock Knowledge Bases
