Glean expands to Australia as ANZ demand grows for secure enterprise AI

Work AI company Glean has announced a deeper investment in Australia, formalising its local presence with an established legal entity as demand for enterprise AI grows across Australia and New Zealand.

Glean said it is expanding its support for customers and partners in the region as organisations move from AI experimentation to enterprise-wide deployment. The company plans to nearly double its in-market team in Australia this year, aiming to help enterprises adopt AI in ways that deliver measurable business impact while keeping security and governance central.

From pilots to governed deployment at scale

Glean said Australia is one of the most mature technology markets in APAC, but many organisations are still navigating the “second act” of AI adoption—transitioning from pilots to secure, governed deployment at scale.

Across ANZ, enterprises are dealing with sprawling application environments, siloed information, rising expectations around data sovereignty, and the need for AI that works across the business rather than within a single tool or workflow.

Company growth and market momentum

Glean’s expansion follows broader company momentum. The company reported surpassing $200 million in annual recurring revenue (ARR) in December 2025, nine months after reaching $100 million ARR. It also said it has more than tripled its enterprise customer base over the past two years.

Glean said this growth reflects a shift as enterprises move beyond pilot programs and make AI a core part of how work gets done, with activity across industries including technology, financial services, telecommunications, and media.

Customer traction in Australia and New Zealand

Glean said it already supports organisations in the region including Optus, Canva, Xero, and REA Group. It reported that its ANZ customer base has grown by more than 60% in the past year.

Partnerships and platform approach

In ANZ, Glean said it is working with ecosystem partners including AWS, Snowflake, and Mantel to help enterprises deploy AI on top of their existing data, cloud, and technology environments.

The company described its context-aware Work AI platform as designed to bring enterprise knowledge, permissions, and workflows together in a secure AI layer, intended to support deployment across complex, multi-system environments.

Statements from Glean

“We’re expanding in Australia because the demand is real, and we believe this market will be one of the defining markets for enterprise AI globally. Organisations across Australia and New Zealand know what AI can deliver, and they’re moving quickly to make it useful inside the enterprise. But they need more than access to models. They need AI grounded in their company’s own context, connected across their existing systems, and built with security and governance at the core.” – Amar Maletira, Chief Operating Officer, Glean

“We’re seeing strong appetite across ANZ for AI that can work across the enterprise, not just within a single application or workflow. This is a market with high SaaS maturity, but also real complexity, from fragmented environments to rising expectations around trust and data sovereignty. Glean’s context-aware Work AI platform is designed for that reality, bringing enterprise knowledge, permissions, and workflows together in a secure AI layer. With our growing local presence, we can work more closely with customers and partners as they turn AI from experimentation into scaled business impact.” – Amar Maletira, Chief Operating Officer, Glean

About Glean

Glean describes itself as a Work AI platform that helps employees work smarter with AI. It said Glean Assistant provides an enterprise AI assistant connected to and understanding company data via Glean’s Enterprise Graph, while Glean Agents enables users to create, use, and manage AI agents using natural language.

Glean said its agents are powered by its search and agentic engine and are designed to automate work at scale while enforcing permissions, referenceability, governance, and security. The company also cited “over 100 connectors,” LLM choice, APIs for customisation, and “no need for costly professional services,” positioning its platform as a turnkey implementation for a complex AI ecosystem.