FINDABLE vs GLEAN

Glean finds your data. Findable puts it to work — in your tenant.

Glean indexes your stack. Findable lives in your tenant, talks to many models, and runs the workflows on top — not just search.

AT A GLANCE

Side by side.

Findable

Glean

Deployment

Your Azure tenant

Glean’s SaaS cloud

Data ownership

Stays in your tenant

Indexed in Glean’s cloud

LLM choice

9 providers (switch per chat)

Glean-managed

Workflow execution

Flow Designer + Form Designer + Assignments

Search + agents (developing)

Pricing model

Per deployment

Per user, per month

Compliance

SOC 2 in preparation

SOC 2 Type II, ISO 27001

Maturity

Earlier stage, focused

Established, $200M ARR

WHERE FINDABLE DIFFERS

Three structural differences, not feature checkboxes.

Your data, your cloud.

Glean’s search index is great — but it’s built on Glean’s servers from copies of your data. Findable’s index lives in your Azure tenant. No second copy in someone else’s cloud. For regulated industries, finance, healthcare, government — not a preference, a requirement.

Multi-model is non-negotiable.

Glean manages the model layer for you. Convenient if you want defaults; constraining if you don’t. Findable lets your admins choose providers and switch between them per chat or per workflow. When Anthropic ships something better, you use it. When Azure OpenAI is cheaper, you use that. No renegotiation.

Beyond search: execution.

Glean got famous for enterprise search and is now building agents. Findable started at the workflow layer — Flow Designer for multi-step AI, Form Designer for structured prompts, Assignments for routing work to people. Search is a tool we use. Workflows are the product.

WHEN GLEAN IS THE BETTER CHOICE

We’re not for everyone. Here’s when you don’t need us.

You need the most mature enterprise search experience available today, and your security posture tolerates SaaS deployment.
SOC 2 Type II and ISO 27001 are required this quarter and you can’t wait for our roadmap.
You want a vendor with deep enterprise sales muscle and a long public reference list.
Knowledge-graph search across 100+ SaaS connectors is your primary use case.
You’d rather pay a vendor than run anything in your own cloud.

If two or more of those don’t apply, we should talk.