--- title: "In Parallel vs Glean — Search What Was Written vs A Record of What Was Decided" description: "Compare In Parallel and Glean. Glean searches and reasons across your connected apps. In Parallel builds a structured, always-current record of decisions and commitments and serves it to every AI tool over MCP." url: https://www.in-parallel.com/compare/glean --- Compare to Glean logo # Glean Glean is enterprise search done well — it indexes your connected apps and lets an assistant retrieve across them. In Parallel is not search. It is a structured, always-current record of what your organisation decided and committed to — built from meetings as they happen. In short Glean suits companies whose main need is one search box for finding existing documents and messages across connected apps. Search only finds what someone wrote down, so teams whose decisions happen in meetings should choose In Parallel, which captures decisions and commitments from those meetings as a structured record and serves it to AI tools over MCP. Updated 2 November 2026 Capability | In Parallel | Glean Core model | Structured record of decisions & commitments | Search index over connected content Meeting capture | Joins meetings, extracts signals | Indexes what others write down Workspace pages | Updated after each meeting, with sources | Indexes pages others maintain “What did we decide?” | Answered from a decision record | Answered by retrieving documents Serves other AI tools | Yes — MCP to any client | Glean assistant + APIs Data residency | EU-hosted, never trains on your data | Per Glean enterprise terms ← Microsoft Copilot Notion AI → What are the key differences? ## From finding what was written to knowing what was decided. ### From retrieval to a structured decision record Glean is excellent at finding the document, message, or ticket that mentions a topic. But a decision is rarely written down cleanly in one place. In Parallel captures decisions, owners, and commitments as structured signals from the meetings where they actually happen — so the answer exists as a record, not as something you reassemble from search results. ### From indexing outputs to capturing the conversation Search can only index what someone already wrote down. Much of what an organisation decides lives in meetings that never make it into a document. In Parallel joins those meetings and extracts the signal directly, closing the gap between what was said and what is searchable. ### From an assistant to context for every AI tool In Parallel exposes its record over MCP, so the same organisational memory is available in Claude, Copilot, ChatGPT, and Cursor — alongside, not instead of, the search tools you already run. ### When to choose Glean - Your primary need is finding existing documents and messages fast - You want a single search box across many connected apps - Knowledge is well-documented and you mainly need to retrieve it - Company-wide search is the job to be done ### When to choose In Parallel - You need to know what was decided and committed, not just where it might be written - Important context lives in meetings that never get documented - You want workspace pages that update after each meeting - The decision record should feed any AI tool, with EU hosting and permission scoping ## Frequently asked questions ### Is In Parallel an enterprise search tool like Glean? No. Glean searches across what your organisation has written. In Parallel builds a structured, current record of what your organisation decided and committed to — captured from meetings — and serves it to AI tools over MCP. Many teams run both: search for documents, In Parallel for decisions. ### Can In Parallel and Glean coexist? Yes. They solve different problems. Glean helps people find existing content; In Parallel captures the decisions and commitments that often never get written down, and keeps them as a record with sources. Both can serve AI tools. ### Why not just search our meeting transcripts? Searching transcripts returns passages; it still leaves you to work out what was actually decided and who owns it. In Parallel extracts that structure up front, so the answer is a decision record rather than a list of search hits. Price the knowledge, not the people. ## 41% of the work week goes to coordination. In Parallel gives it back. Plans Professional €29 per user / month 120 Knowledge Units per user a day. For teams under 50 users: meeting notes, chat, pages and workspaces. Business €69 per user / month 250 Knowledge Units per user a day. Adds sharing: give people access to a workspace, with set access rights for what they can see. Up to 5 app integrations. Automations when released. Enterprise Custom One annual price, invoiced in advance. From 50 users, everyone in the company on one contract: unlimited app integrations, SSO and a named contact. [Talk to sales →](https://www.in-parallel.com/demo) On request Custom Dedicated EU cloud, on-premises and professional services Shared EU cloud is standard and included. Onboarding, trainings and the named contact are always included. [Talk to sales →](https://www.in-parallel.com/demo) - Billed monthly at list price, cancel any month — or prepay a year and save 20%. - One plan for the whole company: moving up moves everyone. Every user who signs in has a seat, including clients added to a workspace; AI agents need none. - Reads from your own AI tools over MCP are free within fair use. When the pool runs out, 1,000 KU top-ups for €250 are added automatically, up to a cap your admin sets. [Get started](https://www.in-parallel.ai/) [Book a demo](https://www.in-parallel.com/demo) [See full pricing](https://www.in-parallel.com/pricing) ## Know what was decided — not just where it’s written. See how In Parallel turns meetings into a decision record every AI can use. 30-minute demo. [Book a demo](https://www.in-parallel.com/demo) [See all comparisons](https://www.in-parallel.com/compare)