Insight
Jain: Vector Search Alone Cannot Solve Enterprise Search
“There's a lot of focus on embeddings and vector search over the last few years, but that's actually only one part of, ah, building a good search system. Because if you think about an enterprise, ah, imagine a company that has been around for a few decades. You…”
Opinion
Glean CEO: AI models are nowhere near replacing retrieval via infinite context
“I mean, I think there's always this thought of that, like, you know, the models will have near infinite context windows and you can just give them everything and they can figure things out automatically. But I don't think, you know, like they're anywhere close…”
Insight
Jain: Companies feared effective search because it exposed internal governance gaps
“We started to hear from businesses that, oh, I'm scared of good search. I don't want a good search product in my company because I have all these governance gaps. I have like, you know, sensitive information all over the place.”
Insight
Jain: Missing enterprise knowledge is a bigger problem than AI hallucinations
“People talk about hallucinations as a big problem with AI models. You know, we feel like, you know, a bigger problem for us is not even hallucinations. It's about Like, you know, most of the times you can't even, you know, find that information. Sometimes it's…”
Prediction Not checkable as stated
Jain: Workers will have personal AI teams performing 90% of their work
“And one thing that's going to fundamentally happen is that each one of us is going to have this amazing team Of, you know, call it assistants, coworkers, coaches that are truly personal to you. And, you know, you're always surrounded by that team. And this tea…”
Insight
Jain: Enterprise search requires transformer models due to scarce user signals
“On the web, even if you don't have good semantic understanding, there is so much that you're going to learn from people's behavior because, you know, you have a billion people, you know, coming and using your product. In the enterprise, you don't have that lux…”
Insight
Jain: Enterprises Care More About Process Automation Than Personal AI Assistants
“Businesses are actually a lot more, more interested in, not in that, but in actually thinking about how they can transform their company with AI, how they can take specific business processes, you know, where they're spending a lot of money and how, how do the…”
Insight
Jain: Startups should run PLG and enterprise sales simultaneously
“So the right recipe for me, like, you know, if I had a choice, I would actually start both the motions simultaneously. Like, I don't want to actually Say that, look, you know, for the first three years, I'm, I will actually focus, you know on just being PLG an…”
Assertion Not checkable as stated
Jain: Glean's largest customer holds over 1 billion internal documents
“One of our largest customers. They have more than one billion documents inside their company. Now hear this, you know, when Alain and I, you know, when we were working on search, At Google, you know, in 2004, the entire internet was actually one billion docume…”
Insight
Jain: Pre-SaaS enterprise search failed because turnkey products were impossible
“Most of the companies started in the pre-SaaS world, they failed because you could just couldn't build a turnkey product. But SaaS actually allowed you to actually build something, you know which is my insight.”
Insight
Jain: Models reason significantly better when data is pre-organized
“There is a good amount of, ah, work that you have to do and present the information, ah, to the model in some, you know, in some organized fashion. That's when they're going to actually do a much better job reading that information, reasoning over it, and givi…”
Assertion Not checkable as stated
Jain: About 90% of enterprise knowledge is private within a company
“Most of the knowledge, I should say, like, 90% of the knowledge inside the company is private in some shape or form inside, within your company.”
Assertion Not checkable as stated
Jain: Users adopted Glean search immediately but struggled with conversational Assistant
“Everybody has been trained over the last 20 years to actually type in, you know, one or two keywords, like Google has sort of taught us, you know, on what search can do. So with search, we never had a problem. Like, you know, we launched our product, we had, l…”
Assertion Not checkable as stated
Jain: Glean faced nonexistent enterprise search budgets, unlike Rubrik
“In Rupert, we're an established market, like the budget, several dollars, and you had to actually replace an old technology with a new technology. Here we were in a market where we had no budgets. There was no concept of buying a search product in the enterpri…”
Insight
Jain: Enterprise search requires top-down sales because full-corpus indexing is expensive
“We cannot offer the product to one individual inside a company. Even one person, you know, their search needs require us to actually search over all the entire company's information for them. So it's expensive. You have to actually index, you know, all of your…”
Insight
Jain: Looking closely at market priors leads founders to kill their ideas
“The more you look at priors, the more you're going to actually, likely you're going to actually ultimately kill your own idea.”
Assertion Not checkable as stated
Jain: Finding internal information inside Google was super hard
“Even at Google, like, it was a big joke, you know, always we had internally, like, you know, All of us were spending all of our time making it easy for people to find things, but not us internally at Google. It's super hard to find anything inside the company.”
Disclosure
Glean Used Transformers for Semantic Matching in Version One
“The version, one of our product actually already used transformers for semantic, you know, matching”
Disclosure
Glean Built Custom Enterprise Embeddings on Top of BERT
“We started with this BERT model that Google had put in open domain, which was trained on all of the internet's, you know, data and knowledge. And we would then take those models and then for every customer of ours, we'd actually build custom embeddings, you kn…”
Assertion Not checkable as stated
Jain: One of Glean's largest customers has over 1B documents
“One of our largest customers. They have more than one billion documents inside their company.”
Assertion Contradicted
Jain: The entire internet was one billion documents in 2004
“In 2004, the entire internet was actually one billion documents.”