Glean

Glean

AI-powered enterprise search across applications

Overview

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company’s apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company’s own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

About Glean

Simplify's Rating
Why Glean is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$805M

Headquarters

Palo Alto, California

Founded

2019

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Simplify's Take

What believers are saying

  • August 25, 2026 partner network expands distribution across North America, EMEA, APJ, Latin America.
  • August 26, 2026 Seclore, Dialpad, and Skyflow integrations deepen regulated-industry adoption.
  • June 2025 $7.2 billion valuation and August 2026 funding signal strong investor backing.

What critics are saying

  • Microsoft Copilot reaches employees inside existing M365 licenses, compressing Glean’s wedge by 2027.
  • Glean IP Holdings v. Glean Technologies in 2026 creates brand confusion and legal distraction.
  • If Tau misses enterprise trust or cost targets, Microsoft and Anthropic absorb the budget.

What makes Glean unique

  • Glean’s enterprise context graph spans apps, files, workflows, and permissions across systems.
  • August 26, 2026 Glean Tau extends search into local files, apps, and code.
  • Glean’s platform sells governed answers and agents, not generic chat layered on top.

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Funding

Total Funding

$805M

Above

Industry Average

Funded Over

7 Rounds

Series F funding comparison data is currently unavailable. We're working to provide this information soon!
Series F Funding Comparison
Coming Soon

Benefits

Healthcare - Happy and healthy go together. We cover medical, dental, and vision for you and yours.

Competitive compensation - Have a real stake in your job and your future with competitive stock options.

401(k) - We make it easy to save for the future today by contributing to a 401k.

Flexible work - We work 3 days a week in the office, though we believe in folks working where they can be most effective.

Company events - We work hard and play hard - from weekly happy hours to our annual company retreat.

Unlimited PTO - Flexible hours, PTO, company-wide summer and winter break shutdown

Transparent culture - By default we keep things open and accessible so we can make better decisions together, faster.

Learning and development - We offer a learning stipend to help you grow and achieve your goals.

Free meals - With lunch and dinner options every day, no need to work while you’re hungry.

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

3%
The Stack
Aug 29th, 2026
Runtime: the Tau of Glean.

Runtime: the Tau of Glean. + Nvidia starts to Groq inference, and the quote of the week. Welcome to Runtime! Today on Product Saturday: Glean launches a new desktop app for searching across corporate documents and data, Harness wants to be the home for your AI-generated code, and Thomson Reuters makes its own model. Please forward this email to a friend or colleague! If it was forwarded to you, sign up here to get Runtime for free every week, or level up here. Ship it. See the light: Agent harnesses haven't caught on with the general business user to the same extent that coding agent harnesses have altered the trajectory of software development, but that's starting to change. Still, a lot of companies that are concerned about data security and runaway token costs need assurances that hooking employees up with autonomous business tools won't result in sensitive data flying out the window in the most expensive way possible. Glean has raised $768 million to build out its enterprise search platform, which uses agents and coworking tools to allow IT departments to trust their users (to the extent any IT department ever does, anyway) with autonomous workflows. This week it announced a new version of the desktop experience of that platform called Glean Tau, which it compared to Anthropic's Claude Cowork. Glean Tau "can plan, execute, review, recover, and act on a user's behalf across tasks like organizing files, analyzing documents, creating spreadsheets, and working across connected apps," the company said in a press release. It hooks into Glean's broader enterprise platform, which makes it easier for companies to put restrictions on data access without preventing employees from finding the right data for the right task. But Glean's main message behind the introduction of Glean Tau was to appeal to the tokenomics crowd, claiming that Glean is about 80% cheaper to use than Claude Cowork based on the results of its own benchmark, which is a little funny. Your mileage may vary, but if AI-powered business assistants are going to make a real dent in the enterprise, cost - as always - will be a big factor. Delivery, continued. The year of the GitHub-killer: GitHub's ongoing inability to provide a stable home for enterprise code (you can read about this week's incidents here) will force some companies to make hard decisions as agents redefine almost every part of software development, and the sharks are starting to circle. Last week The Stack highlighted the launch of Cursor's Origins service, and this week Harness rolled out its own take on a modern repository. "Harness Code Repository is what source control looks like when agents are part of the team," Harness said in a press release. It was designed to "handle thousands of pull requests and commits opened at once," the company said, and comes with strict access-control features that users can apply to AI agents to keep them in their lane. Moar tokens: This week's Hot Chips conference featured several interesting launches, including SiFive's first RISC-V server, but Nvidia continues to rule over the AI chip landscape. The fruits of its kinda-sorta acquisition of Groq last year were released this week, with the Groq 3 LPX inference chip reaching full production. Designed as a co-processor with the Vera Rubin rack-scale server, the new chip's mission is to increase "the rate at which tokens are generated for an individual user, [which determines] how quickly an agent can complete each step of its work," it said in a press release. The Groq licensing deal was an interesting admission from Nvidia that while its flagship GPUs remain the state-of-the-art for training, AI inference is going to require some different approaches. DIY AI: The rise of open-weight models has been one of the more interesting developments in enterprise tech this year, helping companies control costs, setting up a market for AI gateways that route traffic between models, and allowing some businesses to take their AI strategy in-house. Thomson Reuters published a paper this week detailing how it trained a new model called Thomson (of course) using open-weight models such as Aliababa's Qwen. The new model, which is also open weight, "performs competitively with recent frontier models on a wide range of domains and capabilities, ranging from agentic tasks to safety, legal, tax & multilingualism, to comprehensive large-scale Deep Research," the company said in the paper. Thomson Reuters also said that it spent just $450,000 on the final training run for the large version of the model, while estimating the total cost required to develop the model at around $40 million. Quote of the week. "When it breaks, what's going to happen is your leadership is going to try to hold you accountable for the system that you built. And if you don't understand what you built, you're going to start panicking." - Microsoft principal engineer Raki Rahman, who told The Stack that even in the AI coding agent era, software developers need to own their code. The Stack is also reading: One of East Coast's largest data centers accused of "violating federal law": Floodlight sent a drone over a prominent data-center facility in New Jersey run by Nebius, and just like Elon Musk's disregard for the health of the citizens who live around SpaceXAI's massive data center in Memphis, found the facility is operating "dozens of unpermitted gas-powered generators." Thanks for reading - see you Tuesday!

Instrumental
Aug 27th, 2026
Instrumental joins the Glean Partner Network.

Instrumental joins the Glean Partner Network. [GOLDEN, COLORADO] - [AUGUST 25, 2026] - Instrumental, a software implementation firm with 15+ years of platform deployment, integration, and user enablement experience, today announced it has joined the Glean Partner Network as a Services & Solutions partner, offering Glean deployment, governance, agent development, and adoption as a dedicated service line. Glean is the trusted context and intelligence platform for enterprise AI: it connects a company's knowledge, people, systems, and workflows so AI has the context it needs to understand how the business works and get useful work done. Glean brings that foundation to enterprise search, AI assistants, and agents that can reason and take action across workplace applications, with permissions, governance, security, and model choice built in. Instrumental's engagements run from an executive AI briefing, a working session co-hosted with Glean that produces a prioritized AI-transformation blueprint, through the Outcomes Package, a fixed-scope implementation covering connectors, governance, the first agents, and adoption, to the Growth Package, an ongoing managed service. "We've spent 17 years helping organizations turn technology into a weapon, not a line item," said Eric Pratt, CEO of Instrumental. "Glean changes the AI equation by making enterprise knowledge truly connected and governed. Our mission is to make enterprise AI real for our clients, adding unmatched power to the organizational war chest." Executive AI briefings are available now at instrumental.net/glean-partner. About Instrumental Group: Founded in 2009, Instrumental Group helps organizations improve their sales strategies and results. In 2012, the agency became a certified HubSpot implementation partner, expanding to serve organizations looking to grow with HubSpot. Instrumental sits at the very top of the HubSpot partner ecosystem. Proudly delivering award-winning services that help organizations scale with technology. In 2025, the agency evolved yet again alongside technology, assisting organizations in operationalizing AI. Media contact Anne Shenton, Chief Revenue Officer, [email protected], 303-945-4341.

PR Newswire
Aug 26th, 2026
Seclore and Glean partner to bring context-aware, persistent sensitivity and Security controls to the Enterprise.

Seclore and Glean partner to bring context-aware, persistent sensitivity and Security controls to the Enterprise. Aug 26, 2026, 12:00 ET The integration combines Glean's enterprise AI platform and enterprise data with Seclore ARMOR's Data Security Intelligence layer - giving regulated organizations context-aware sensitivity classification and the remediation controls to act on it. SANTA CLARA, Calif., Aug. 26, 2026 /PRNewswire/ - Seclore, the enterprise Data Security Intelligence company, today announced an integration between ARMOR DSPM and Glean, the leading enterprise AI platform. ARMOR DSPM uses Glean's contextual data as the foundation for sensitivity classification, gives customers a unified remediation toolkit to act on what's identified, and writes labels directly onto source files where they persist and remain readable by Glean. For Glean customers in financial services, healthcare, legal services, and government, the integration builds on Glean's secure foundation with a faster path to AI-ready data identification and control across their full estate. Context-Aware: Classification That Reflects How the Enterprise Actually Uses Data Glean's Enterprise Graph indexes data across every system an organization uses, mapping how content, people, and work connect. ARMOR DSPM works with the document content and metadata, using them as the input to its classification engine and assigning sensitivity, information type, and exposure risk based on what each file actually contains. The same classification context drives mapping to GDPR, HIPAA, India's DPDP Act, and other regulatory frameworks. Glean customers get classification that operates across the same breadth of data Glean has already indexed - not a parallel discovery process on a subset of systems. Actionable: Remediation and Posture Management Built In Identification is the start, not the end. Once ARMOR DSPM has classified sensitive data, customers act on it through ARMOR's remediation toolkit: including natively integrated EDRM for persistent, file-level encryption and usage controls that travel with the file across users, systems, and external recipients; access control that adjusts who can open, share, or modify data based on sensitivity and context. For Glean customers, content surfaced through Glean's secure, permissions-aware platform can remain governed by that same persistent control framework. Persistent: Labels That Travel With the Data ARMOR DSPM writes classifications directly onto source files. Labels persist with the file independently of any platform: holding across indexing cycles, following the data between systems, and remaining intact whether the file is opened in its source application or surfaced through Glean. Because the label lives in the file itself, any system that reads the file sees the same classification. What This Means for Glean Customers in Regulated Industries For Glean customers in financial services, healthcare, legal services, and government, the integration helps organizations move faster with AI while maintaining the controls regulated environments require. Accelerated classification at enterprise breadth. ARMOR DSPM uses Glean's indexed data to bootstrap sensitivity classification across the systems Glean already covers, shortening time-to-coverage. ARMOR connectors are deployed where remediation actions are required. Identification connects directly to action. Classification, posture management and EDRM-based protection operate as one control model - sensitive data isn't just discovered, it's protected. Compliance proof at enterprise breadth. Continuous mapping to applicable regulatory frameworks gives customers a defensible posture across the same breadth Glean has established. "Glean has built the industry's most comprehensive enterprise AI platform, and the enterprise context graph at its core indexes data across every system the enterprise relies on. With ARMOR, Glean customers get sensitivity classification across that same breadth, EDRM-based protection that travels with the file, and a defensible compliance posture that holds up across regulators. For regulated industries, that means a faster path from identification to control," said Dr. Vishal Gauri, CEO, Seclore. "Regulated industries want to move faster with AI, but they also need confidence in how sensitive information is handled. By combining Glean's enterprise context layer with Seclore ARMOR, customers can identify important data with more context, connect those insights to the right controls, and bring AI into more regulated workflows with greater confidence. It's a strong example of how Glean's ecosystem helps customers bring trusted AI into more regulated, high-value workflows," said Zubin Irani, VP of Partnerships, Glean. Availability The integration is available now for organizations running ARMOR DSPM and Glean. About Seclore Seclore is the Data Security Intelligence company for the era of enterprise AI. As AI systems increasingly read, generate, and act on data without direct human oversight, organizations need more than visibility - they need intelligence, control, and proof. Seclore ARMOR brings together data discovery, contextual intelligence, persistent protection, continuous enforcement, and usage insight within a single control model. By securing the data itself and ensuring protection travels with it, Seclore enables organizations to adopt AI confidently, demonstrate compliance continuously, and maintain trust across people, partners, and AI systems. To know more, visit https://www.seclore.com/glean/ Media Contact: SOURCE Seclore

Business Wire
Aug 26th, 2026
Glean launches Tau AI desktop and slashes enterprise AI costs by 81% with context-aware platform

Glean has launched Glean Tau, a desktop workspace that enables users to complete complex tasks across local files, applications, and code using enterprise context. The company announced this at its Glean:GO conference alongside new benchmarks showing 81% savings on token costs compared to Claude Cowork. The platform addresses AI "botsitting" — the time users spend preparing AI with files and background information. Glean Tau automates multi-step work like document analysis and file organisation whilst maintaining governance and security controls. Glean's approach keeps enterprise context readily available, reducing repetitive searches. Where Claude Cowork averaged $2.98 per query, Glean averaged $0.58. The company also introduced features including Glean Transform for identifying AI opportunities, proactive task management, and context-aware threat detection. New capabilities like team chat and interactive dashboards are entering beta, with Glean Tau coming soon.

CMSWire
Aug 26th, 2026
Dialpad and Glean connect customer conversation insights with enterprise knowledge to drive smarter decision-making.

Dialpad and Glean connect customer conversation insights with enterprise knowledge to drive smarter decision-making. August 26, 2026 Demoing at Glean:GO 2026, the new integration brings Dialpad's conversational intelligence into Glean, so customer conversations, voice and text, AI and human, become usable across the business SAN FRANCISCO-(BUSINESS WIRE)-Dialpad, the AI platform for customer experience, today announced a new integration with enterprise AI leader Glean, that connects the intelligence captured in customer conversations with the broader enterprise knowledge employees and AI systems rely on every day. The launch builds on the companies' expanding partnership, with Dialpad also joining the newly launched Glean Partner Network. Businesses have more customer data than ever, but much of the most valuable insight remains locked inside conversations, from sales calls and customer meetings to digital support interactions and service conversations. At the same time, workers are increasingly turning to AI to find information and identify customer trends, using those insights to make data-backed decisions. This creates a need for richer context that brings together what customers are saying with what the business already knows. The new Dialpad and Glean integration helps bridge that gap. Dialpad captures and analyzes customer conversations across the full customer journey, both voice and text and both AI and human, and turns them into customer journey intelligence. Glean makes that intelligence discoverable and actionable across its enterprise-grade knowledge base of documents, systems and workflows. Together, the companies help organizations bring together what they know about a customer, identify the right next step, and act on it through a person or through automation, across revenue, support and service. "Customer conversations remain one of the richest and most direct sources of intelligence a business has, but that value usually stays trapped in transcripts, one call at a time, and disconnected from where work happens," said Jared Dennison, AVP, AI Ecosystem & Marketplace, at Dialpad. "More and more of those conversations are handled by AI agents working alongside people, and both become part of the same customer record. This integration connects the dots across that full history, voice and text, AI and human, then surfaces the likely next step in context so the people and systems doing the work can act on it in the moment." Dialpad adds a conversational layer that captures the real-time voice of the customer. The integration connects what is said in calls, meetings and digital customer interactions with the broader enterprise context inside Glean, helping businesses move from fragmented information sets to a more complete understanding of each customer. The result is a more connected AI experience across the customer journey, helping sales teams prepare with greater context, enabling service teams to resolve issues more effectively, and giving business leaders a clearer view of what customers are saying and how those insights should inform the next action. Turning Conversations Into Action As a member of the Glean Partner Network, Dialpad is working with Glean to make customer intelligence more accessible and actionable across the enterprise. Dialpad provides conversational insights, while Glean connects that intelligence with the documents, systems and knowledge employees and AI need to understand the full business context and use it to make smarter decisions. The Dialpad and Glean integration can help organizations: * Prepare for customer conversations with greater context: Teams can combine prior conversation history from Dialpad with relevant usage, subscription, CRM and internal account knowledge from Glean, helping employees enter every customer interaction better informed. * Deliver in-call agent assist: While a sales rep or service agent is in a live customer interaction in Dialpad, Glean can surface relevant internal documents, playbooks, product information and account context based on the conversation, helping teams find the right information without disrupting the customer interaction. * Accelerate post-call follow-up: Following a customer call or meeting, teams can use conversation transcripts, summaries and playbook data to generate more complete recaps, customer insights and follow-up actions that are directly linked to CRM, ticketing and internal knowledge systems. * Improve supervisor and quality assurance workflows: Contact center leaders can combine conversation intelligence with grounded knowledge and policy context to support more consistent responses, coaching and quality reviews based on real customer interactions. * Strengthen pipeline and forecast visibility: Sales leaders can connect what customers are actually saying in calls and meetings with broader enterprise context to support more informed pipeline reviews, deal inspection and forecasting. * Bring knowledge into the flow of work: The integration opens opportunities to surface Glean-powered knowledge and account context within Dialpad-adjacent workflows, helping users search for information and trigger follow-on actions without leaving the environment where conversations happen. "The next generation of enterprise AI won't operate on isolated sources of information. It needs to understand the full context of the business, including what customers are saying in real time," said Zubin Irani, VP of Partnership, Glean. "Dialpad brings an incredibly important source of that context into Glean. Together, we can give employees and AI agents a much more complete understanding of the customer and the business around them, so they can reason better, make better decisions, and take the right action." "Dialpad and Glean's integration is an example of how companies can build systems of AI that transform work, giving visibility into massive datasets, helping people understand and do their best work, and creating a foundation for smart, trustworthy agentic automation that works alongside the people who use it," concluded Dennison. Availability The new Dialpad-Glean Integration is available now. Please reach out to [email protected] to learn more. Meet Dialpad at Glean:GO Dialpad is a sponsor of Glean:GO, Glean's user conference taking place August 26-27 at Fort Mason in San Francisco. Please stop by the Dialpad booth to see the integration in action. About Dialpad Dialpad is the AI platform for customer experience, providing real-time AI solutions since 2018. Dialpad's all-in-one solution understands your business and acts on your behalf, getting smarter with each interaction. Our customers are uniquely able to understand their customers, improve customer experience, increase operational efficiency, and build a lasting competitive advantage. Dialpad's agentic AI resolves issues, advances deals, and clears busywork, handling routine customer inquiries automatically while working seamlessly alongside human agents on complex issues. Market-leading brands including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Visit dialpad.com to learn more. Featured Research

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