Glean is enterprise search: it connects to your existing tools and helps people find and use what is already written. Reattend is organizational memory: a desktop app captures work as it happens and keeps decisions, commitments and context, including what was never written down. Choose Glean to search many tools; choose Reattend to stop losing knowledge when people leave.
Disclosure: we make Reattend. Glean details are from its public documentation as of October 2026.
At a glance
| Reattend | Glean | |
|---|---|---|
| Category | Organizational memory | Enterprise search and AI agents |
| How knowledge gets in | Desktop app on each computer captures work; AI extracts memories | Connectors index existing tools |
| What it keeps | Decisions, commitments, facts, tasks, people, meeting notes | Index of documents, messages and records |
| Knowledge never written down | Captured from meetings, work apps and dictation | Only if it exists in a connected tool |
| Raw data | Stays on the device; derived knowledge syncs (with managed AI or an own key, work text is sent for processing) | Indexed by the platform |
| Access control | Record-level rules (private, team, department, organization, explicit shares) | Permissions from source systems |
| Departures | Exit interviews into handoff documents; topics only one person holds | Not a focus |
| Deployment | Cloud; on-premise scoped per engagement | Glean-hosted or customer private cloud |
| AI engine | Rabbit on device by default (in training), own key, or managed AI (pilot) | Model Hub with a choice of models |
| Pricing | Published (see pricing) | Per user plus AI usage; seat prices not published |
How they get knowledge
Glean connects to the tools you already use through its connectors, then indexes and searches them with permissions enforced (Glean docs). If a decision is in a document or a thread, Glean can find it.
Reattend starts at the computer. Its desktop app reads text in apps marked as work, plus meetings, dictation, documents in chosen folders and scanned paper, and turns that into memories. A decision made in a call and never written up can still be remembered. Integrations exist but are not required.
Privacy model
Reattend keeps raw capture on the device. Only derived knowledge, such as summaries, decisions and tasks, is shared, and each person sees a ledger of what left their computer and can take items back. Personal time outside work apps never leaves the machine.
Glean indexes source systems with their existing permissions, with data protection and governance controls in its platform.
When to choose Glean
- You have hundreds of employees and knowledge across many tools.
- Your main problem is finding existing documents.
- You want a broad agent platform across those tools.
When to choose Reattend
- Your main problem is decisions and context that never get written down.
- People leaving or moving costs you knowledge.
- You need on-premise deployment (scoped per engagement).
- You want published pricing. Free plan: up to 20 employees, on Rabbit, no time limit. Paid plans from $9/employee/month, priced by AI engine, each with a 15-day free trial.
Using both
Some organizations will use search for documents and Reattend for memory. Reattend's read-only MCP server lets local AI tools query its memory.
See Reattend pricing · Security · Glean alternatives
Frequently asked questions
What is the difference between Reattend and Glean?
Glean searches and reasons over content that already exists in your connected tools. Reattend creates a memory of work as it happens on each computer, including decisions and commitments that were never written down, and shares only the derived knowledge under access rules.
Can Reattend and Glean be used together?
Yes. They solve different problems. Glean finds documents across tools; Reattend remembers decisions, commitments and context from everyday work. Reattend also offers a read-only MCP server for local AI tools.
Which is cheaper, Reattend or Glean?
Reattend publishes its pricing, including a free plan, at reattend.com/pricing. Glean does not publish seat prices; its documentation describes per-user licensing plus AI usage.