Glean is usually the better pick if your main job is finding answers across messy company knowledge. Sana is better if your team wants one AI hub for learning, onboarding, meetings, and internal content. Both can answer questions. But they feel built for different moods. Glean feels like a search dog with a badge. Sana feels like a smart office coach with a clean desk.
TLDR: Pick Glean if your company has lots of scattered docs, chats, tickets, wikis, and files. Pick Sana if you care more about training, team knowledge, and guided workflows. For example, a 900-person sales team might save 6 minutes per employee per day with Glean by finding pricing notes faster. A 200-person support team might cut onboarding time by 20% with Sana by turning answers into short lessons.
What are these tools trying to do?
Both tools try to solve the same annoying problem.
Your answer exists. Somewhere.
Maybe it is in Slack. Maybe it is in Google Drive. Maybe it is in Notion. Maybe Sarah from finance wrote it in a spreadsheet in 2021 and then left the company. Great.
Glean focuses on finding that answer fast. It connects to company apps. It respects permissions. It shows results from many systems. It also gives AI answers with sources.
Sana also helps people find answers. But it goes wider. It mixes AI search with learning, knowledge pages, meeting notes, and employee training. It wants to be a central brain for how people learn and work.
The simple verdict
If the question is only this: “Which AI assistant is better for finding answers across company knowledge?”
Glean wins for most larger companies.
Why? It was built around enterprise search from the start. That matters. Search is not just typing a question into a cute box. It is messy. It needs permissions. It needs freshness. It needs ranking. It needs to know that “Q4 plan,” “quarter plan,” and “sales push” may be the same thing.
Sana is still strong. It may even feel nicer for users who live in training content and team docs. But if your company has 15 tools and 50,000 files, Glean is likely to feel more reliable.
Where Glean shines
- Enterprise search: Glean is very good at searching across many workplace apps.
- Answer quality: It often gives useful answers with source links.
- Permissions: It aims to show people only what they are allowed to see.
- Context: It can use signals like role, team, and work history to improve results.
- Large company fit: It suits teams with lots of tools and lots of content.
Glean is great when employees ask questions like:
- “What is our current refund policy?”
- “Where is the latest security questionnaire?”
- “Who owns the Salesforce integration?”
- “What did we decide about EU pricing?”
It drives me crazy when search tools return ten old files and call that “helpful.” Glean is less likely to do that than basic intranet search. It tends to care more about freshness and relevance.
Where Sana shines
Sana is not just a search box. It is more like an AI workspace for learning and knowledge. That can be a big deal.
- Training: Sana is strong for onboarding, courses, and internal learning.
- AI assistant: It can answer questions from connected knowledge and team content.
- Content creation: It helps teams build pages, lessons, and guides.
- Meetings: It can support meeting notes and related workflows.
- User experience: It often feels clean, modern, and friendly.
Sana is useful when employees ask things like:
- “Teach me how our sales process works.”
- “Create a quiz from this product guide.”
- “Summarize this team meeting.”
- “Build a short onboarding path for new support agents.”
Honestly, it feels like Sana is happier when knowledge is being shaped, not just found. That is not a bad thing. It is just a different flavor.
Search quality: who finds the answer faster?
Glean usually has the edge.
It is built for the “Where is that thing?” problem. That sounds small. It is not. It is half of office life.
In a company with 1,000 employees, even 5 wasted minutes per person per day becomes huge. That is 5,000 minutes per day. About 83 hours. Gone. Poof. Lost to file names like “final final v7 updated REAL.”
Glean helps by pulling from many places and ranking results in a smart way. It also shows sources, which is key. AI answers without sources are just confident guesses wearing a nice jacket.
Sana can also find answers. But its biggest value often appears when teams build knowledge inside Sana or use it for learning. If your content is already neat, Sana can feel excellent. If your content is chaos, Glean may handle the mess better.
Setup and admin work
Neither tool is magic. Sorry.
You still need to connect apps. You still need clean permissions. You still need owners for key content. If nobody updates the pricing policy, no AI tool can invent the right answer. Well, it can invent one. That is worse.
Glean may need more setup across systems because it often touches many company tools. For IT teams, that is normal. For small teams, it may feel heavy.
Sana can feel easier if your main goal is to create a central learning and knowledge space. It may be simpler for HR, enablement, and operations teams to roll out in stages.
Best fit by team type
| Team need | Better choice | Why |
|---|---|---|
| Find answers across many apps | Glean | Stronger enterprise search focus. |
| Train new hires | Sana | Better learning and course features. |
| Support sales and support reps | Both | Glean finds answers. Sana teaches processes. |
| Replace a messy intranet | Glean | Better for pulling knowledge from existing tools. |
| Create a knowledge academy | Sana | Built for learning paths and guided content. |
What about AI answers?
Both tools can answer in natural language. That is the fun part.
You ask, “What is our policy for expense claims over $500?” The assistant replies with a short answer. Then it links to the policy. That is the dream.
The key question is not, “Can it answer?” Most AI tools can answer.
The better question is:
- Can it find the right source?
- Can it avoid old content?
- Can it respect private data?
- Can users trust it?
- Can it explain where the answer came from?
Glean tends to be stronger on the search and source side. Sana tends to be stronger when the answer connects to training or structured internal content.
The annoying bits
Glean can feel like a serious enterprise tool. That is good for IT. It can be less charming for teams that want a soft, guided learning experience. Expect some admin planning before it feels amazing.
Sana can feel polished and friendly. But if your knowledge is spread across tons of old tools, it may not beat Glean at pure search. The gap can show up when a user needs one exact answer from five possible systems.
Also, both tools are only as good as your company habits. If teams keep saving critical info in private docs, random threads, or someone’s desktop, pain will continue. AI is smart. It is not a mind reader. Yet. Thankfully.
Pricing and buying thoughts
Pricing can vary by company size, features, and contract. So do not judge only by the sticker price. Judge by time saved.
Try this simple math:
- Number of employees who search for answers daily.
- Minutes wasted per person per day.
- Average hourly cost.
- Time saved after rollout.
If 500 employees save 4 minutes per day, that is 2,000 minutes saved daily. That is about 33 hours. Across a month, that is a lot of rescued brainpower.
Final pick
Choose Glean if your top pain is finding trusted answers across Slack, Google Drive, Jira, Confluence, Salesforce, SharePoint, and other company tools. It is the safer bet for broad workplace search.
Choose Sana if your top pain is teaching people how work gets done. It is great for onboarding, learning, knowledge pages, and building a smarter internal hub.
The best answer may also be boring: run a pilot. Pick 30 users. Give them 20 real questions. Track answer accuracy, time to answer, and user trust. If Glean wins on speed and source quality, go with Glean. If Sana wins on adoption and training impact, go with Sana.
For pure answer finding across company knowledge, Glean is the winner. For learning plus knowledge, Sana has the sparkle.
Published on September 12, 2026 under .
