Scibly vs. amber. amber searches what's written in your documents. Scibly also keeps what your experts know, and shows who knows what.
Two different approaches. amber is a tool your team works in. Scibly adds a knowledge layer to the tools you already have, working in the background.
How amber works
amber lets you search your company's documents. It indexes files and databases from your existing tools and answers questions in its own chat, based on what it finds. The knowledge stays in the original documents. Experience that was never written down, and who knows what, isn't captured.
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.
What Scibly does differently. Four differences your team will notice in its first weeks.
01No new interface
amber is an app of its own, where your team searches and asks questions, in the browser, on the desktop or right in Teams and Outlook. Scibly needs no extra interface. It works in the background and brings knowledge into the AI tools and agents your team already uses, such as ChatGPT, Claude, Copilot, Gemini or Cursor. Your existing workflows stay as they are.
02Knowledge that isn't written down anywhere
Much of a company's most valuable knowledge is in its people's heads: why an old service must never be restarted during a deploy, or why a customer has its own API limits. amber only finds what's already documented. Scibly holds short interviews with your experts to capture exactly what's missing. The answers become available to the whole team, with the expert kept as the source.
03Knowledge and the people behind it
amber connects documents, but not the people who hold the knowledge. Scibly shows who knows which topics, and which know-how sits with only one person. So you spot knowledge gaps and risks early, and can start handing knowledge on before someone retires or leaves the company.
04Connected facts, not single documents
amber builds its answers from the documents its search finds. Scibly also captures the information in them as single facts, linked to the people, customers and topics they belong to, each with its source. When something changes, the new state counts, so answers rest on current knowledge.
The key differences at a glance
| Scibly | | |
|---|---|---|
| Knowledge sources | Your tools, meetings and experts | Documents and databases |
| No new interface | Works in your existing AI tools | Its own search and chat interface |
| Captures what your experts know | Makes undocumented knowledge accessible | No |
| Makes knowledge risks visible | Before important knowledge leaves the company | No |
| Connects your company's knowledge | People, topics and facts, each with its source | Links related documents |
| Access rights | Carried over from your tools | Carried over from your tools |
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 amber publishes.
Sources:amber.deamber pricesamber Company Brainamber on knowledge graphs
