Who will own your company’s AI layer? Glean’s CEO explains

2026-02-11 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Corporate Strategy & Leadership, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Glean, an enterprise AI company, has transitioned from an enterprise search product to an "AI work assistant" designed to integrate beneath other AI experiences, manage permissions, and connect to internal systems to deliver intelligence across an organization. This evolution addresses a broader shift in enterprise AI from simple chatbots to systems that perform work. Glean secured $150 million in funding last year, achieving a $7.2 billion valuation, amidst increasing competition from major tech companies. The company's CEO and founder, Arvind Jain, discussed enterprise AI architecture, market consolidation, and the distinction between genuine advancements and hype in the AI agent space during an interview at Web Summit Qatar.

Key takeaway

For CTOs and AI Architects evaluating enterprise AI solutions, understanding the shift towards integrated "AI work assistants" like Glean is crucial. You should assess how potential AI layers connect to existing internal systems and manage permissions, as this determines the true utility and security of AI deployments across your organization. Prioritize solutions that offer deep integration and robust control over data access.

Key insights

Enterprise AI is evolving beyond chatbots to integrated systems that perform organizational work, driving consolidation.

Principles

• AI layer ownership is critical for enterprise architecture.
• Consolidation is a key trend in the enterprise AI market.

In practice

• Integrate AI assistants with internal systems.
• Prioritize permission management in AI deployments.

Topics

• Enterprise AI
• AI Architecture
• Glean
• AI Work Assistant
• Market Consolidation

Best for: CTO, Executive, AI Architect, Director of AI/ML, VP of Engineering/Data, Investor

Related on AIssential

• Glean’s fight to own the AI layer inside every company — Enterprise AI is moving towards integrated work assistants, creating a battle for the foundational AI layer.
• Six things have to be true before AI changes a workflow. Most companies have built two. — The strategic value in enterprise AI now lies in deep workflow integration, not just model access.
• Treating enterprise AI as an operating layer — Embedding AI as an operational layer, not a utility, creates durable enterprise advantage through continuous learning.
• AI Inside the Enterprise — Enterprise AI adoption faces significant integration hurdles and architectural paralysis, requiring a shift to viewing AI as a new type of user.
• The intelligence layer emerges as the control plane for enterprise AI — An intelligence layer, like Microsoft IQ, provides organizational context and governance for enterprise AI agents, enabling reliable, secure, and cost-effective production.
• How to Talk Like an AI Expert — True AI expertise involves understanding integration challenges and maintaining tool-agnostic strategies, not just raw intelligence.

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.