

AI is Making Enterprise Search Relevant, with Arvind Jain of Glean
389 snips May 15, 2025
Arvind Jain, Founder and CEO of Glean and former Google engineering leader, dives into the future of enterprise search powered by AI. He reveals how large language models are reshaping search capabilities, moving past outdated keyword methods. Arvind discusses why many search tools have failed and the unique challenges Glean faced in a skeptical market. He also highlights the importance of customization and user behavior insights, while teasing exciting developments on the horizon for Glean.
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LLMs Transform Search
- LLMs shifted search from keyword matching to deep question and document understanding.
- This enables conceptual matching and allows direct answers beyond just links.
Early Glean AI Search Beginnings
- Glean started in 2019 using early transformer models for semantic matching.
- They customized models per customer content and built beyond embeddings for up-to-date, authoritative results.
SaaS Enables Enterprise Search
- Pre-SaaS era made enterprise search nearly impossible due to data access issues.
- SaaS with APIs revolutionized access, making turnkey enterprise search feasible.