Tatsulok as a Glean alternative

Glean is an AI platform for work that unifies enterprise search, assistants, and agents over your company's connected applications. It builds an Enterprise Graph across systems like Gmail, Slack, Jira, and Salesforce, and its answers are permissions-aware and referenceable back to source. It is designed as a company-wide deployment, an IT-led rollout that connects many SaaS tools so employees can search and act across all of them.

Both Glean and Tatsulok give answers that link back to a source, and both respect who can see what. The difference is scope and how you adopt it:

• Document-centric, not company-wide search: Tatsulok focuses on your documents, the files, contracts, and notes you upload, rather than indexing every SaaS app in the company. • Self-serve, not an IT rollout: you can stand up Tatsulok for a team yourself; Glean is typically an enterprise deployment connecting many systems. • Sharing and data rooms: Tatsulok is built to share a cited answer or an access-controlled data room with teammates or clients.

Glean answers "where is anything across all our tools"; Tatsulok answers "what do my documents say, with citations I can share."

Choose Tatsulok when:

• Your need is cited answers from a defined set of documents, not search across every company app. • You want to start with a team today, without an enterprise connector rollout. • Access-controlled sharing of cited answers and data rooms is central to your work.

Choose Glean when you need company-wide search and assistants across all your SaaS tools, deployed at enterprise scale with broad connector coverage.

Coverage and verifiability pull in different directions, and it is worth being explicit about the trade-off rather than pretending a tool wins on both.

Indexing everything a company touches means an answer can draw on a Slack thread, a half-finished draft, and a signed contract with equal ease, and the answer will present all three in the same confident voice. That flattening has a name and a measurement: Columbia's Tow Center found AI search engines misattributed or fabricated sourcing on more than 60% of test queries, with even the best engine wrong 37% of the time. Retrieval ranks by relevance and extractability, not by whether a source deserves belief.

So the question to ask of any broad-index tool is not how much it can see. It is what it does when the best-matching passage comes from somewhere weak. Does it show you the origin plainly enough that you would notice it was a chat message rather than the contract? Breadth is genuinely useful for discovery. For a claim you are going to repeat, provenance beats coverage.

This week's drill, no signup needed: ask your search assistant something answerable from both an official document and an informal message, then check which one it used. If you cannot tell from the answer, you have found the gap.

Yes. Tatsulok enforces access control per item, so an answer never surfaces a document the reader is not permitted to see, and every answer is cited to its source passage. These are the same trust properties Glean emphasizes, permissions-aware and referenceable, applied to your documents in a product a team can adopt without a company-wide deployment.