One of the things that stands out to me about Brain Trust is just the quality of customers that you're working with, right. Companies like Stripe and Instacart and Air Table and some of the highest taste organizations. Like, how's that all come to be.How are all these like really high taste companies using you. >> Honestly, the thing that we did well is that we were very specific about which customers we wanted to make a bet on um and make them really happy. I think that if you try to make everyone happy, i ...

There are a lot of really hard infrastructure problems that go into supporting EVELs in the first place. Some of the problems that we solve are things like um how to ingest megabytes per second of data that you know systems generate and guess what agents just generate more data. Another problem that we solve is um running evals that might take a really really long period of time um sometimes days and accumulating the data in a way that's easy to visualize. And again, um, being able to run and orchestrate so ...

Today's conversation is with Anker Gual, the founder and CEO of Brain Trust. Anker is a repeat founder who started working in AI long before the debut of Chat GPT. He previously founded Impira, which was acquired by Figma, where he went on to lead the AI team.Now with Brain Trust, he's helping developers build AI that actually works. In our discussion, we cover why eval are core AI development, why taste matters in product development, what a culture of customer obsession looks like, and his approach to sca ...

We believe the AI agents can really unlock the upside which is li really unlimited in terms of revenue generating and enable your workforce to do more than they currently doing. Another thing is I will also go back to the deep research AI analyst agent is that you can really now for the first time can really um unlock the full potential of the try to retro data that's customer uh interactions then the level of insights that traditionally you cannot get to and you can now use that to improve operations that ...

At a Greylock Change Agents event, Glean CEO Arvind Jain discusses how enterprises need searchable agent libraries and orchestrator systems to manage agent discovery and deployment, along with careful curation to keep agents organized and effective. Clip from The Enterprise Brain for AI Agents with Glean and Cresta: https://youtu.be/1ZMDA6atOhc #greylock #Glean #artificialintelligence #AI #Agents #AgenticAI #software #AgentLibrary #Agentorchestration ...

Bringing the right context to the models is actually a very hard problem. But luckily for us, like you know, that's the thing that we we've been working on for the last six to seven years. Like our whole like the the model for Glean has always been go deep, you know, connect with all the enterprise systems and now start to build an understanding of how this business actually works.Yeah. >> Understand like you know the data, the knowledge, understand business processes work and like you know given any task l ...

As you uh develop more and more agents, as you take u these human-driven processes and agentify them, you have to think about like how do you bring that full comprehensive enterprise context to all all of these different agents. And ideally, we feel like AI should be like electricity. It just disappear.We don't, you know, be using AI without even knowing using AI. And it's almost like augumented reality before work. Arvin Ping, thank you so much for joining us for Greylock Change Agents.As you know, change ...

One thing that you've said time and time again is, you know, we've been building software for humans >> and uh and now we're really building software. You can imagine a world where we're building software for agents. >> I'm very uh convinced that users are still going to want to see a lot.>> Okay. And and so that as long as the user wants to see a lot and touch buttons and move things around, um then I think you have a a very strong case for for sort of dedicated, let's just call it SAS, you know, plays per ...

If you went to Coca-Cola and Pepsi and you gave one the world's worst CRM system and one the world's best CRM system but the same talent profile at Coke and Pepsi, I don't know that the the revenue would be com so like in a massively compounding way that different, right. If you gave them the world's best ERP system and the third best ERP system, you know, I don't think that like the supply chain is going to be so totally different. But if you give a team right now the state-of-the-art in coding, >> yeah, > ...

Over time, as you think about the box business model or even abstracted away into this any system of record business model, where does the value in that business model acrew to. Over time, >> systems of record were built for a TAM of human employees. >> Yeah.>> And that was sort of where the value kind of maxed out at. And now I at least imagine I think anybody, you know, doing AI agents imagines that maybe we'll have like a hundred times more agents than people or a thousand times more agents than people. ...