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- Glean announced a new platform layer designed to sit beneath enterprise AI interfaces and applications
- The layer aims to unify data access and orchestration for AI agents across disparate enterprise systems
- This move targets the growing “enterprise AI land grab” by providing foundational infrastructure
- It positions Glean as a central player in the emerging stack for business AI deployment
- The announcement signals a shift toward backend infrastructure as the key battleground
Glean Launches Foundational Layer for Enterprise AI Orchestration
Glean announced on February 15, 2026, that it is building a new platform layer designed to sit beneath enterprise AI interfaces and applications. This move aims to provide the foundational infrastructure needed to power and connect AI agents across a company’s disparate systems. The announcement comes amid an intensifying “enterprise AI land grab” where companies are racing to provide the core infrastructure for business AI.
According to TechCrunch’s report, Glean’s new platform is focused on solving the data unification and orchestration challenge that often limits AI effectiveness. By creating a unified data layer, Glean intends to make AI agents more capable and reliable within complex enterprise environments. This positions the company to capture a critical piece of the enterprise AI stack.
The Core Technology and Platform Capabilities
Glean’s new platform is engineered to serve as the connective tissue for enterprise AI. It is designed to integrate with existing data sources and applications, providing a single point of access for AI models and agents.
Key Platform Features:
- Unified Data Access: Aggregates data from siloed enterprise systems like CRM, ERP, and communication tools
- AI Agent Orchestration: Provides tools to build, deploy, and manage AI agents that can perform tasks across different applications
- Security and Compliance: Built-in governance to ensure data privacy and access controls are maintained
- Scalable Infrastructure: Designed to handle the compute and data demands of large-scale enterprise AI
Integration and Compatibility:
- Pre-built Connectors: Offers integrations with popular enterprise software including Salesforce, Workday, and Slack
- API-First Design: Allows custom integrations with proprietary or legacy systems
- Compatibility: Works with leading AI models from providers like OpenAI, Anthropic, and Google
Market Context and Strategic Positioning
This announcement is a direct response to the competitive landscape where major tech players are vying for dominance in enterprise AI. Glean’s strategy focuses on the infrastructure layer rather than the final user interface.
Competitive Landscape:
- The “Land Grab”: Companies like Microsoft, Google, and Salesforce are building end-to-end AI solutions
- Glean’s Niche: By focusing on the foundational layer, Glean avoids direct competition with application vendors
- Partnership Potential: This approach makes Glean a potential partner for companies building their own AI interfaces
Impact on Enterprises:
- Reduced Complexity: Simplifies the process of deploying AI agents across multiple systems
- Faster Time-to-Value: Accelerates ROI by removing data integration barriers
- Future-Proofing: Provides a flexible foundation that can adapt as AI technology evolves
What Happens Next
Glean will likely begin rolling out the platform to select enterprise customers for pilot programs in the coming months. A broader public launch is expected later in 2026, accompanied by detailed pricing and partnership announcements. The company’s success will depend on its ability to secure partnerships with major AI application developers and enterprise software vendors.
Conclusion
Glean’s announcement of a new foundational layer for enterprise AI addresses a critical gap in the current market. By focusing on data unification and agent orchestration, the company is positioning itself as an essential infrastructure provider in the rapidly evolving AI landscape. This move could simplify the adoption of AI for large organizations struggling with data silos.
The real test will be in execution and adoption. As the enterprise AI land grab intensifies, Glean’s ability to form strategic partnerships and demonstrate tangible value will determine its role in the future stack. The coming year will be crucial for seeing how this platform integrates with the broader ecosystem of enterprise AI tools.
FAQ
What is Glean’s new enterprise AI platform?
Glean’s new platform is a foundational layer that sits beneath AI interfaces and applications. It is designed to unify data from disparate enterprise systems and orchestrate AI agents, providing the infrastructure needed to power business AI effectively.
Why is this considered part of an “enterprise AI land grab”?
The term refers to the intense competition among tech companies to provide the core infrastructure for enterprise AI. Glean’s move into the foundational layer is a strategic play to capture a critical piece of this emerging market, competing with larger players by focusing on backend infrastructure.
How does this platform differ from Glean’s existing products?
While Glean is known for its enterprise search capabilities, this new platform represents a deeper infrastructure play. It moves beyond search to provide a comprehensive data unification and orchestration layer for AI agents, acting as a backend for various AI applications rather than a standalone search tool.
Which enterprise systems can this platform integrate with?
According to the report, the platform is designed to connect with a wide range of enterprise software. It offers pre-built connectors for popular systems like Salesforce, Workday, and Slack, and provides an API-first design for custom integrations with legacy or proprietary systems.
What are the main benefits for enterprises adopting this layer?
Enterprises can expect reduced complexity in deploying AI, faster time-to-value from their AI investments, and a more future-proof infrastructure. By solving data silo issues, the platform aims to make AI agents more effective and reliable across the organization.
What is the expected timeline for availability?
While a specific date has not been announced, the platform is expected to enter pilot programs with select customers in the near future. A broader public launch, along with detailed pricing and partnership information, is anticipated later in 2026.
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