What is Glean? Pricing, Features, and Best Alternatives in 2026
Glean is an enterprise Work AI platform that indexes a company's tools (Slack, Drive, Confluence, Salesforce, Jira, GitHub, and more) and layers conversational agents on top of that index. Founded in 2019 in Palo Alto, it raised $260M Series E in 2025 at a $7B valuation. It is search-first; the agent layer is newer.
Last updated: 2026-05-05
Quick Decision Guide
Glean is the right choice for large enterprises that want unified search across their internal knowledge stack first, with a layer of agents that can act on top of indexed data. It is not the right choice for European mid-market teams, for companies that need voice or phone channels, or for organisations that need an agent live within days rather than after a multi-quarter rollout. Below: who Glean fits, who should look elsewhere.
| If you need... | Glean fits | Better alternative |
|---|---|---|
| Enterprise knowledge search across many SaaS tools | Yes | - |
| Conversational answers grounded in internal documents | Yes | - |
| AI agents that take action across Slack, Teams, phone | Partial | Ainora |
| Voice or phone-channel AI for inbound or outbound calls | No | Ainora, Sierra |
| EU data residency by default | No | Ainora |
| Multilingual native (LT, RU, PL, etc.) | No | Ainora |
| Mid-market budget under $50K/year | No | Ainora, Lindy |
| Setup live in days, not quarters | No | Ainora, Lindy |
How Glean Rates
A short five-axis scorecard - the same format used across our compare pages.
| Axis | Rating | Notes |
|---|---|---|
| Features (search + agents) | Strong | Best-in-class enterprise search; agent layer functional but newer than search. |
| Pricing transparency | Weak | Public list price ~$40-60/user/month for Glean Assistant; Workflows tier and Enterprise are sales-led. |
| Ease of setup | Weak | Indexing across many SaaS sources is non-trivial. Enterprise rollouts typically run 1-2 quarters. |
| Integration depth | Strong | 100+ pre-built connectors (Slack, Drive, Confluence, Salesforce, Jira, GitHub, Notion, Workday, ServiceNow, etc.). |
| EU compliance / data residency | Mixed | EU regions exist for some customers; defaults are US. Multilingual support is limited compared to EU-native vendors. |
What is Glean?
Glean was founded in 2019 in Palo Alto by Arvind Jain (CEO, ex-Rubrik co-founder, ex-Google Distinguished Engineer), T.R. Vishwanath, and Tony Gentilcore. The company started as an enterprise search product - a search experience for work tools that indexes Slack, Google Drive, Microsoft 365, Confluence, Jira, Salesforce, GitHub, Zendesk, and other SaaS systems, and lets employees find answers across all of them with one query.
In 2023 and 2024, Glean expanded the product into Glean Assistant, a conversational layer that answers questions grounded in the indexed corpus. In 2025 the company added Glean Workflows and Glean Agents - automation and agentic capabilities that run actions across the same indexed surface.
The company has raised aggressively. The most recent round - $260M Series E in 2025 - was led by Lightspeed with Sequoia, Kleiner Perkins, Coatue, and Citi Ventures participating, valuing the company at $7B. Headcount sits around 600 based on the LinkedIn company page.
Public customers include Sony, Pinterest, Booking.com, Reddit, Duolingo, Confluent, Databricks, and Workday [Glean customer page].
The product is built around a single thesis: enterprises have so many SaaS tools and so much internal documentation that finding the right answer is the bottleneck. Index everything, ground agents on the index, and the agent becomes useful. That thesis is correct for large enterprises with hundreds of tools and thousands of employees. It is over-engineered for European mid-market teams that have a dozen tools and need an agent that picks up the phone or @mentions back in Slack within a week.
Glean Features
The platform breaks into three main surfaces:
Glean Search. Federated search across 100+ SaaS sources with permission-aware retrieval. Indexes Slack, Drive, Confluence, Salesforce, Jira, GitHub, Notion, Workday, ServiceNow, Zendesk, Box, Dropbox, OneDrive, Outlook, Teams, and most large-enterprise systems. Permission-aware means each user only sees results they have rights to in the source system.
Glean Assistant. Conversational interface on top of the index. Available as a web app, a Chrome extension, a Slack bot, and a Microsoft Teams bot. Answers questions, summarises documents, drafts replies grounded in indexed data. Inline citations are a feature - the assistant shows which document each piece of an answer came from.
Glean Workflows and Agents. Lets administrators build automated flows that run across the index. Examples: a ticket triage agent that reads a Zendesk ticket, searches for similar past tickets, and drafts a reply. An RFP responder that searches past RFPs and drafts new responses. A code review helper that pulls context from GitHub and Confluence. Workflows are configured per customer, typically with help from Glean's professional services or partner network.
Other capabilities: enterprise-grade governance and audit logs, SSO via SAML/OIDC, data loss prevention controls, data classification, and custom embedding models for highly-regulated customers.
Glean Pricing
Glean does not publish a full pricing page. The structure that has emerged from customer references and analyst coverage is:
| Tier | What it covers | Typical price |
|---|---|---|
| Glean Assistant | Search + conversational assistant for end users | ~$40-$60 per user per month |
| Glean Workflows | Adds automation and agent-building tools | Higher, custom |
| Glean Enterprise / Custom | Private model hosting, advanced governance, premium support | Sales-led; mid-six to seven figures annually |
Most Glean deals are annual contracts negotiated through sales. Implementation is rarely free - large customers typically engage Glean's professional services or a systems-integrator partner for the initial index buildout. Expect total first-year cost (license + implementation) to land between $100K and several million dollars depending on company size. This makes Glean structurally inaccessible to most European mid-market teams.
Glean Pros and Cons
Pros
- Best-in-class enterprise search foundation, with permission-aware retrieval across 100+ SaaS sources.
- Strong customer logos at the high end (Sony, Pinterest, Booking.com, Reddit, Workday).
- Inline citations in answers - the assistant shows the source document for each fact.
- Mature governance: SSO, audit logs, data classification, DLP, custom embedding models.
- Heavily funded ($260M Series E at $7B valuation) - low vendor-failure risk for multi-year contracts.
Cons
- Enterprise-only positioning. Sales motion, pricing, and rollout time are all built for $1B+ companies.
- Setup is heavy. Indexing every SaaS source typically takes one to two quarters.
- Search-first DNA. The agent layer is newer and less mature than search.
- US-headquartered with US-default data residency. The product is not EU-native.
- English-primary. Multilingual support is limited compared to EU-native vendors.
- No native voice or phone channel. If your AI teammate needs to pick up the phone, Glean is the wrong tool.
Verdict: Who Should Use Glean?
Glean is the right choice for a large enterprise (1,000+ employees, $1B+ revenue) with hundreds of SaaS tools, thousands of internal documents, and a real "I cannot find the answer" problem. If your bottleneck is knowledge access and your budget supports a six-to-seven-figure annual contract, Glean is the strongest product in this lane. If your bottleneck is action - calls being missed, leads not being chased, tickets not being resolved - Glean's agent layer is functional but not the primary product, and you will likely under-use what you pay for. If you are a European mid-market team with EU data-residency requirements and customers who speak more than English, Glean is not built for you. Look at Ainora instead.
Best Glean Alternatives in 2026
1. Ainora
"Glean searches your stack. Ainora acts on it - calls customers, updates your CRM, schedules the follow-up."
Ainora is a multi-channel AI teammate built EU-native from day one. Where Glean indexes your tools and answers questions about them, Ainora picks up inbound calls in your customers' language, joins Slack and Microsoft Teams when your team @mentions us, and executes real work across your CRM, calendar, and ticket systems. The same agent that takes a customer call updates the HubSpot record and posts the booking back to the relevant Slack channel. One memory. One conversation thread per customer, across every channel.
For European mid-market teams, the structural fit is different from Glean. Ainora ships in days, not quarters. Pricing is custom and scales with call and message volume rather than per-seat - so a 50-person company is not paying for 50 search seats it does not use. Six languages out of the box (LT, EN, RU, DE, FR, PL) with mid-conversation switching, including small EU languages that US-built platforms do not cover. EU data residency by default, no US data transfer for audio, transcripts, or memory. Live demo numbers anyone can call to hear the product running in production - +1 (218) 636-0234 (English) and +370 5 200 2620 (Lithuanian).
The right read: if your problem is "we have too much knowledge and people can't find answers," Glean. If your problem is "we miss too many customer calls and follow-ups fall through cracks," Ainora.
2. Sierra
US enterprise voice + chat AI from Bret Taylor (ex-Salesforce co-CEO). $175M Series B at $4.5B valuation. Premium positioning, $200K+ contracts, multi-quarter sales cycle. Strong if you are the rare enterprise with both Glean-tier budget and a real voice + chat use case.
3. Decagon
Enterprise customer-support deflection. $131M Series C at $1.5B valuation. Big-logo customers (Eventbrite, Bilt, Notion, Duolingo). Narrower than Glean - customer support specifically - but the most defensible vendor in that lane.
4. Lindy
Self-serve US AI teammate platform. ~$50M+ raised. $49-$299/month plus Enterprise. Slack-first, English-only, US data residency. Strong if you want a configurable agent and are not bound by EU residency.
5. Harvey
Vertical specialist for legal. $300M Series D at $5B valuation. Right answer if your team is a law firm or large in-house legal team. Wrong answer for any other vertical.
6. Relevance AI
Build-your-own AI agents with self-serve UX. $24M Series A. Sydney / SF presence. Closest no-code analogue to Lindy.
Frequently Asked Questions
Glean is an enterprise Work AI platform that indexes a company's SaaS tools (Slack, Drive, Confluence, Salesforce, Jira, GitHub, and 100+ others) and layers conversational agents on top of the index. It was founded in 2019 in Palo Alto and has raised $260M Series E in 2025 at a $7B valuation.
Glean Assistant is approximately $40-$60 per user per month based on customer reports and analyst coverage. Glean Workflows and Glean Enterprise are sales-led with custom pricing, typically mid-six to seven figures annually for large deployments. Implementation services are usually a separate cost on top of the license.
Public references include Sony, Pinterest, Booking.com, Reddit, Duolingo, Confluent, Databricks, and Workday. Glean is positioned for enterprises in the 1,000-100,000+ employee range.
Glean offers EU regions for some customers, but the product is US-headquartered and US-default. Customers requiring strict EU data residency by default - rather than EU regions as an option - typically choose an EU-native alternative such as Ainora.
No. Glean is text-only across web, Slack, and Microsoft Teams. There is no native phone channel. For phone-channel AI teammates, Ainora and Sierra are the relevant options.
Ainora. It is EU-native, multilingual (LT, EN, RU, DE, FR, PL out of the box), multi-channel (phone + Slack + Teams + email), and ships in days rather than quarters. Pricing is custom and scales with call and message volume rather than per-seat.
Most Glean enterprise deployments take 1-2 quarters from contract signing to full rollout. The bulk of the time goes into indexing all SaaS sources, configuring permissions, and training employees on the assistant. Smaller scopes can deploy in 4-8 weeks.
Founder & CEO, AInora
Building AI digital administrators that replace front-desk overhead for service businesses across Europe. Previously built voice AI systems for dental clinics, hotels, and restaurants.
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