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GleanvGlean:GOVersion updatevGlean:GOAug 17, 2026Glean - What's New ✨
🎧 Rolled out an in-app podcast feature for surfacing product updates and commentary straight from the team
🤖 Added Gemini 3.7 Flash to the mix, pushing the model library past 40+ closed and open models available in-platform
📊 Dropped a benchmark against Claude Cowork on agent task economics: $0.45/task vs $1.84/task, a 4x gap driven by 2.9x lower token volume and a 1.4x cheaper blended rate. Credit goes to smart routing (Luna handling commodity steps, Opus saved for the 29% of volume where it counts) plus tighter retrieval that cuts context bloat
🎤 Locked in as a headline presence at Glean:GO 2026 (Aug 26-27, San Francisco + virtual), with co-founder Tony Gentilcore taking the stage on multi-model routing and cost control for enterprise AI stacks logo

GleanvGlean:GOVersion updatevGlean:GOAug 17, 2026Glean - What's New ✨ 🎧 Rolled out an in-app podcast feature for surfacing product updates and commentary straight from the team 🤖 Added Gemini 3.7 Flash to the mix, pushing the model library past 40+ closed and open models available in-platform 📊 Dropped a benchmark against Claude Cowork on agent task economics: $0.45/task vs $1.84/task, a 4x gap driven by 2.9x lower token volume and a 1.4x cheaper blended rate. Credit goes to smart routing (Luna handling commodity steps, Opus saved for the 29% of volume where it counts) plus tighter retrieval that cuts context bloat 🎤 Locked in as a headline presence at Glean:GO 2026 (Aug 26-27, San Francisco + virtual), with co-founder Tony Gentilcore taking the stage on multi-model routing and cost control for enterprise AI stacks

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Overview

  • Find answers from every company tool in one place with enterprise search across Slack, Google Drive, Jira, Confluence, SharePoint, GitHub and Salesforce
  • Get responses grounded in your organization's real knowledge instead of generic training data through Glean's enterprise knowledge graph and context layer
  • Protect sensitive information automatically with permission-aware answers that only surface data each user is already authorized to see
  • Build and launch custom AI agents for multi-step workflows without writing code using the no-code agent builder with built-in governance
  • Choose the right model for every task from 40+ LLMs including GPT, Gemini, Claude and Waldo through Glean's Model Hub, or bring your own API keys
  • Cut AI costs as usage scales with token-efficient retrieval that reduces context bloat and supports smart multi-model routing
  • Verify every response with source-referenceable answers that trace directly back to the original document or message
  • Automate everyday work across engineering, sales, support and HR by turning fragmented company knowledge into a single place to get things done
  • Extend Glean into existing systems with API and MCP support for custom integrations and structured data analysis

Pros & Cons

Pros

  • Connects to 100+ enterprise tools and data sources
  • Permission-aware answers, only shows what each user can already access
  • Every answer traces back to its source document
  • Supports 40+ LLMs including GPT, Gemini, Claude, and Glean's own Waldo
  • No-code agent builder for automating workflows
  • Reduces token usage and model costs through better context retrieval
  • Enterprise-grade security and compliance (SOC 2, ISO 27001, GDPR, HIPAA)
  • Full observability into queries, answers, and actions
  • Works across departments: engineering, sales, support, HR
  • Backed by major investors with strong enterprise customer base (Booking.com, Zillow, Databricks)

Cons

  • Built for enterprise, not suited for individuals or small teams
  • Requires significant setup and connector configuration to unlock full value
  • Pricing is not transparent or published
  • No free tier or self-serve signup, demo required to get started
  • Heavy focus on large organizations means smaller companies may find it overkill

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❓ Frequently Asked Questions

Glean is a Work AI platform that connects to your company's tools and data (Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, Salesforce, and more) so AI can answer questions, automate tasks, and take action grounded in your organization's actual knowledge.
Yes. Glean is permission-aware, meaning users only see answers based on data they're already authorized to access. It holds certifications including SOC 2 Type II, ISO 27001, ISO 42001, GDPR, and HIPAA compliance.
Glean supports 40+ LLMs including OpenAI's GPT models, Google's Gemini, Anthropic's Claude, Amazon Nova, and its own in-house model, Waldo. Admins can choose models through Glean's Model Hub or bring their own API keys.
Yes. Glean includes a no-code agent builder that lets teams create custom agents for multi-step workflows, with governance and access controls built in.
No public free tier is listed. Glean requires booking a demo to get started, and pricing is not publicly published.
Glean is used by large enterprises across industries, including Booking.com, Zillow, Databricks, Canva, Reddit, and Pinterest, spanning teams like engineering, sales, support, and HR.
Glean positions itself as a horizontal context layer that works across whichever LLMs and tools a company already uses, rather than being tied to one model family or ecosystem. It also emphasizes permission-aware retrieval and token efficiency as core differentiators.

Pricing

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