Comparison
Syniaps or Glean?
A $7.2bn unicorn with $300m in recurring revenue, an enterprise product sold by quote from 100 seats up
What Glean sells: "Enterprise AI that understands your company": a permission-aware index over 275+ sources that makes every model more accurate and cheaper (81% fewer tokens than Claude Cowork, on its own benchmark), plus agents governed by the IT department.
Syniaps
4.0 / 5
Glean
3.6 / 5
Surveyed on 15 September 2026 from the publisher's public pages, cited at the foot of this page. Offers change: check with the publisher before you decide.
Glean at a glance
- Who
- Palo Alto, 2019, $7.2bn, 1,600 staff
- Glean Technologies, founded in 2019 by former Google Search engineers (Arvind Jain, CEO), has raised $768m (a $150m Series F in June 2025 at $7.2bn) and passed $300m of ARR in May 2026 (a threefold rise in 15 months), with around 1,600 employees. Certified SOC 2 Type II, ISO 27001, ISO 42001, HIPAA and TX-RAMP level 2; customers include Booking.com, Samsung, Databricks, Reddit, Pinterest and Rivian.
- What
- Search, chat, agents, an enterprise index
- Three building blocks on one permission-aware index: Search (275+ connectors, an enterprise graph), Assistant (Fast / Thinking / Adaptive Reasoning, memory, Code Writer, image and slide generation, native actions in Salesforce, Jira, GitHub and Slack) and Agents (a no-code Agent Builder, scheduled triggers, an Agent Sandbox with a file system, shell and code interpreter). Around them: Model Hub (40+ models, auto-routing in beta), an MCP server and gateway, Glean Protect (DLP, prompt-injection detection), and Glean Tau, a local desktop announced on 26 August 2026 and still "coming soon".
- How it gets set up
- A 4 to 5 week IT project
- An annual contract signed with sales, then a project run by IT: SSO, user provisioning, connectors configured source by source (API credentials, permission mapping, crawl tests, an initial sync that can take a while), a restricted pilot, then a phased rollout; the Glean community itself quotes "around 4-5 weeks for implementation" for a mid-sized company. Agents are then built in natural language in the Agent Builder (triggers, steps, actions, flows), have to be published, possibly approved by a moderator, and an admin must explicitly enable scheduled triggers and each write tool allowed to run in the background. No trial without an account and no self-serve: the website only offers "Get a demo".
- Which models
- 40+ models, Glean key or BYOK
- GPT (up to GPT-6), Claude (Haiku to Opus), Gemini, Amazon Nova and open models (Fireworks, Baseten, Groq) through Azure OpenAI, Vertex AI, Bedrock or directly, plus Waldo, an in-house model; the admin picks which models users may reach, sets ceilings, and an auto-router (beta) arbitrates between performance and cost. Inference runs at the cloud providers or at the customer through their own key (BYOK), every listed LLM subprocessor is American, and a GCP tenant cannot call Bedrock.
- Price
- ~$50 to $65 per seat per month, 100 seats minimum
- Prices are not published: buyers report $45 to $75 per user per month (Work AI around $50, Agents around $65) with a 50 to 100 seat minimum, so entry contracts land around $60,000 a year, plus $20,000 to $50,000 of implementation. The Enterprise Flex model adds pooled FlexCredits: 100 Thinking queries per user per week are included, after which every agent run (7 to 114 credits), Deep Research, Code Writer or premium model draws on the pool, with no published dollar rate card.
- Who it is for
- Large accounts, wall-to-wall rollouts
- Companies from several hundred to tens of thousands of staff, with an established IT department and a patchwork of Slack, Drive, Jira, Confluence, Salesforce and ServiceNow: 85% of its customers deploy wall-to-wall. Strong wherever the problem is finding and governing scattered knowledge; out of reach for organisations under 100 people ("For organizations with fewer than 100 employees, Glean is not an option").
Point by point
| Criterion | Glean | Syniaps | Advantage |
|---|---|---|---|
| Intelligence | 40+ models (GPT-6, Claude Opus, Gemini), Fast / Thinking / Adaptive, auto-routing in beta, premium models billed in credits | Claude Sonnet 5, Opus 5, Fable 5, GPT through Codex or the model of your choice; Standard / In-depth / Maximum modes, AI included in the plan | Level |
| "Execute" | Native actions (Salesforce, Jira, GitHub, Slack), a code and shell sandbox, no browser, nothing for a site without an API | Files, code, terminal, a browser driven with session cookies, long jobs, apps hosted on the customer's own machine | Syniaps |
| Knowledge | A permission-aware index over 275+ sources, an enterprise graph and continuous crawling, once IT has installed the connectors | Synapses built and maintained by the agent from documents, email and a cloud mirror, OCR and retrieval included | Level |
| Setup | A 4 to 5 week IT project, agents to build and publish, background writes to authorise one by one | A short wizard, then the agent proposes the automations itself, as cards to confirm | Syniaps |
| Learning | Memories extracted from sessions (preferences, role, projects), an editable personal graph, GCP only | Retains corrections, skills and preferences, and proposes what it has learnt for approval | Level |
| Sovereignty | Single-tenant, a customer GCP/AWS VPC with an EU region available, SOC 2 / ISO 27001 / 42001, but US LLMs and a US default | A dedicated OVH machine in France and a per-user sandbox, AI processed in Europe if you choose, but no certification | Level |
| Entry and price | Quote only, 100 seats minimum, around $60,000 a year to enter, FlexCredits for agents, no public trial | A free 7-day trial open within minutes, a card required, from €99 excl. tax a month with the AI and a dedicated server included | Syniaps |
| Scope | A horizontal platform: search, chat, governed agents, MCP, wall-to-wall across thousands of seats | Autonomous agents running missions end to end for a company and the people in it | The alternative |
What each one does better
Where Syniaps wins
Acts without an API
Syniaps drives a browser with the cookies captured by the desktop app and acts on any site, where Glean can only write through its action packs and where its users are still asking for autonomous web navigation.
Missions end to end
One Syniaps mission chains code, files, terminal, sending and hosting apps on the customer's machine; Glean reserves "complex planning or ambiguous interpretation" for interactive agents with a human in the loop.
Nothing to build
With Glean the user builds, publishes and has their agents enabled; with Syniaps the agent proposes the automations itself and the human only confirms the card.
Open from €99
A company gets into Syniaps from €99 excl. tax a month, AI and dedicated server in France included, whereas Glean closes the door below 100 seats and $60,000 a year.
A machine of your own, in France
Every Syniaps customer has their own OVH server in France, with secrets never stored in the database; a Glean tenant is born in us-central1 by default and an EU region has to be negotiated.
Where Glean wins
An index at scale
275+ connectors, an enterprise graph, permissions enforced on every read and write, three billion searches served: knowledge that holds up across 10,000 seats.
Certifications and governance
SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, audit streamed to the SIEM, Glean Protect (DLP, 96.9% injection detection): the IT department can sign.
Forty models, routed
GPT, Claude, Gemini and open models, on Glean's key or the customer's own, with cost/performance auto-routing and per-user ceilings set by the admin.
Tokens and cost under control
Pre-indexed context rather than federated MCP searches on every task: $0.58 per task against $2.98 for Claude Cowork on its benchmark, the argument that carried ARR to $300m.
Already in the workplace
An MCP server generally available to Claude, ChatGPT and Cursor, agents inside Slack, human-and-agent Team Chat, and Tau announced for local files: Glean installs itself wherever the employee already works.
Two caveats on its promise
- Autonomous agents are constrained by design: daily or weekly triggers, 10 background agents per user, a maximum run time, every write tool authorised one by one by the admin, and documentation that advises keeping ambiguous tasks in interactive mode; the "81% cheaper than Claude Cowork" benchmark is an internal test on Glean's data, scored by Glean.
- Sovereignty has to be negotiated: an EU region on request (us-central1 by default), seven LLM subprocessors all American, memory available only on GCP with the Glean universal key, and no on-premise deployment ("Customer Hosted" remains a service operated by Glean with support access, including from its Indian subsidiary).
The ten criteria, scored and justified
Intelligence
Frontier models (Claude, GPT, Gemini) and ways to step up a gear
Syniaps 5/5
Claude Sonnet 5, Opus 5 and Fable 5, GPT through Codex, or the model of your choice; Standard, In-depth and Maximum modes.
Glean 5/5
GPT-6, Claude Opus, Gemini and 40+ models at the admin's discretion, three modes (Fast, Thinking, Adaptive Reasoning) and a beta auto-router; the one reservation is that premium models draw down FlexCredits.
Execution power
Actually acts: files, code, browser, sites without an API, long-running work
Syniaps 5/5
Files, code, terminal, a browser for sites without an API, long jobs in the background, hosted apps.
Glean 3/5
Native Salesforce, Jira, GitHub and Slack actions, Code Writer and an Agent Sandbox with files, shell and interpreter, but no driven browser, nothing for a site without an API, no app hosting, and Tau (local files) is still "coming soon".
Company knowledge
A base built and maintained on its own from documents, email and cloud storage
Syniaps 4/5
Synapses built by the agent, OCR, a full cloud mirror; still young on very large volumes.
Glean 4/5
A permission-aware index over 275+ sources with continuous crawling and an enterprise graph, the best base on the market, but every source is a connector that IT installs and there is no wiki written and maintained by the agent.
Zero setup
Nothing to brief, trigger or tick; the tool proposes, the human confirms
Syniaps 4/5
A short wizard, and the agent proposes its automations in conversation; site connections still have to be made once.
Glean 2/5
Four to five weeks of IT project, agents built in the Agent Builder then published, scheduled triggers off by default and write tools enabled one by one; only three "proactive" templates (daily action items, plan my day, weekly snippets) take the initiative.
Continuous learning
Remembers corrections and preferences without being asked to
Syniaps 4/5
Corrections, skills and preferences are retained and proposed for approval; no learning across customers yet.
Glean 4/5
Extracted memories retain preferences, role and projects on their own and the personal graph is editable, but this is limited to GCP tenants with the Glean key and to user-level facts, with no skill learning.
Autonomy
Missions and automations server-side, computer switched off, human approval on sensitive moves
Syniaps 4/5
Missions and scheduled actions run server-side with your computer off, with approval cards; mission ceilings still need tuning.
Glean 3/5
Scheduled agents do run server-side behind a double admin/moderator gate, but on a daily or weekly cadence, 10 per user, with a capped run time, and the documentation sends anything ambiguous back to a human in the loop; the "independent agents" are three betas.
Integrations and connections
Everyday tools, MCP, cloud storage, email, sites without an API
Syniaps 4/5
Email, cloud storage, meetings, WhatsApp, LinkedIn, MCP, sites without an API; fewer native connectors than a Zapier.
Glean 4/5
275+ connectors, action packs, an MCP server generally available to Claude / ChatGPT / Cursor and an outbound MCP proxy in beta, but nothing for a site without an API, and neither WhatsApp nor dictation appears.
Sovereignty and security
EU hosting, per-customer isolation, EU or on-premise inference, certifications
Syniaps 3/5
A dedicated machine in France (OVH), strong per-user isolation and AI processed in Europe if you choose; no on-premise option and no certification.
Glean 4/5
Single-tenant, a customer GCP or AWS VPC with an EU region available, SOC 2 / ISO 27001 / ISO 42001 / HIPAA, but a tenant that defaults to the United States, LLM subprocessors that are 100% American, no on-premise option, and support access from India.
Teamwork
Shared spaces, roles, delegation, company-wide memory
Syniaps 4/5
Company sources connected once, shared synapses, role profiles, shared skills and conversations, shared mailboxes in missions; no SSO and no fine-grained roles.
Glean 5/5
Designed for wall-to-wall use: permissions inherited from the sources, agents published and shared under moderation, admin / moderator / member roles, human-and-agent Team Chat, and 85% of customers deployed across the whole company.
Price and access
Total cost (tool + AI + machine) against what you get, and how easily you start
Syniaps 3/5
A dedicated machine, AI included and a 7-day trial that opens within minutes, from €299 excl. tax a month; a card is required for the trial and there is no free tier.
Glean 2/5
No public price, no trial, a 100 seat minimum and around $60,000 a year to enter plus $20,000 to $50,000 of implementation and FlexCredits with no published rate card; an honest value-for-money ratio for a large account, unreachable below that.
Verdict
The context layer for large accounts against the intelligence that acts with no integration project
Glean
Glean is the context infrastructure a large account's IT department lays under all its models and agents, governed and certified.
Natural fit: companies of 500 to 50,000 staff, an established IT department, a six-figure budget, and a need to find and govern scattered knowledge.
Syniaps
Syniaps is the intelligence that knows a company and acts in its place, on a machine of its own, with no integration project.
Natural fit: leaders and teams who want a mission carried through to the end, from the file to the site with no API, from €99 excl. tax a month.
Glean does not play on the same ground of price or size, but it sets the reference for what a buyer will call "knowing the company".
Do not chase its 275 connectors or its certifications: hold the opposite promise, zero project, zero building, an agent that genuinely executes. Two habits are worth borrowing, though: put a figure on the cost per task and the tokens saved by synapses, and make it plain who is allowed to write what in the background.
Public sources (29)
- https://www.glean.com
- https://www.glean.com/product/agents
- https://www.glean.com/platform/model-hub
- https://www.glean.com/platform/security
- https://www.glean.com/legal/subprocessors
- https://www.glean.com/blog/go-glean-cowork
- https://www.glean.com/blog/live-spring-26-main
- https://docs.glean.com/administration/llms
- https://docs.glean.com/glean-enterprise-flex-pricing
- https://docs.glean.com/get-started/prepare/about-deployment
- https://docs.glean.com/get-started/prepare/self-hosted-deployment/gcp/supported-gcp-regions
- https://docs.glean.com/security/agents/background-agents
- https://docs.glean.com/agents/concepts/schedule-triggers
- https://docs.glean.com/user-guide/assistant/memory-personalization
- https://docs.glean.com/security/agent-sandbox-ptc
- https://docs.glean.com/administration/platform/mcp/about
- https://community.glean.com/public/resources/what-does-a-realistic-from-contract-to-first-value-timeline-look-like-for-glean-2026-04-23
- https://techcrunch.com/2026/02/15/the-enterprise-ai-land-grab-is-on-glean-is-building-the-layer-beneath-the-interface/
- https://techcrunch.com/2026/05/28/gleans-top-line-crosses-300m-as-ai-budget-cutting-becomes-its-major-selling-point/
- https://thelettertwo.com/2026/08/30/glean-go-context-enterprise-ai
- https://siliconangle.com/2026/08/26/glean-unveils-tau-desktop-workspace-claims-token-cost-edge-over-claude/
- https://en.wikipedia.org/wiki/Glean_Technologies
- https://sacra.com/c/glean/
- https://workativ.com/ai-agent/blog/glean-pricing
- https://www.gosearch.ai/blog/glean-pricing-explained/
- https://fritz.ai/glean-review/
- https://aigearbase.com/tool/glean
- https://ainora.lt/blog/internal-ai-assistant-eu-data-residency-2026
- https://dust.tt/blog/glean-agents
Glean is a trademark of its publisher, cited here for the purpose of objective comparison. Syniaps is neither affiliated with nor a partner of that publisher. Found an error in this comparison? Write to us at [email protected] and we will correct it.