Does enterprise search like Glean cover what your experts know?
It covers what's already written in your company's tools: Glean finds it and answers with sources, within each person's permissions. Much of what your experts know about an established product was never written down, so Rivora asks them while each feature is designed, has your team confirm the answers, and keeps them for every feature after; the two work side by side.
Checked on 10 November 2026 against Glean's own website, docs and release notes.
What is Glean best at?
Glean is an enterprise AI platform connected to your company's data. On its own pages it offers:
- answers with cited sources from across your company's tools, through hundreds of connectors including Jira, Confluence, GitHub and Slack;
- access that respects each person's permissions;
- agents your teams build for their own workflows;
- memory that users save, and memory learned from permitted workplace activity;
- an MCP server, so coding agents such as Claude Code, Cursor and Codex can search company knowledge too.
If your question is "where is that document, ticket or thread, and what does it say?", Glean is built for it.
Where does search stop for a product team?
Search finds what someone wrote. On an established product, many of the answers a feature needs were never written:
- why one client's flow works differently;
- which of two old decisions still holds;
- which module is still in the code but no longer used.
Those answers sit with a few people. Each new feature waits for them, and they answer the same questions again.
What does Rivora add?
- It asks the people who know. Rivora drafts each part of a feature's solution and raises the questions it can't answer. Your experts answer once.
- Memory the team confirms. Each decision records where it applies, where it came from and who confirmed it. Nothing is learned silently: memory comes from what people say and confirm.
- Checked before anyone builds. A person approves each part, sends it back with a comment, or edits it.
- The approved plan goes to the builders. Stories go to Jira only after a person approves them. Approved work goes to coding agents such as Claude Code, Cursor and Codex, with the decisions and rules attached.
How do they compare?
| Glean | Rivora | |
|---|---|---|
| Works from | What's in your company's connected tools | One feature at a time: your code and documents, plus answers from the people who know |
| Main question it answers | What do we already have on this, and where? | How should this feature work on our product, given everything we've decided before? |
| Knowledge is added by | Connected tools, and memory saved or learned from activity | People answering Rivora's questions, confirmed by your team |
| Checked by | The person reading the answer and its sources | A person approves each part |
| Best fit | Whole companies finding knowledge across many tools | Product teams on established software, where a few people hold the answers |
When is Glean the better choice?
When the problem is finding what's already written across many tools, for the whole company. Rivora doesn't search your company's tools.
When should a team add Rivora?
When the answers a feature needs live in a few people's heads, and the team keeps asking them again.
Questions
- Can Glean and Rivora work together?
Yes. Glean finds what's written; Rivora keeps what your team confirmed while designing each feature. They suit different jobs.
- Does Rivora read our documents?
Yes, through Confluence or upload. Rivora reads your code through a GitHub App with read-only access. Each part shows the sources it used.
Bring one real feature you're planning in the next month.