Edra exits stealth with $30M from Sequoia, automating enterprise workflows by watching employees work

Cheers. And we will continue our Lambda Lightning round with Eugene from Edra. He's the co-founder and CEO. He has some exciting news for us today. Eugene, how are you doing?

Good. How are you guys? Thank you for having

Exiting Stealth. I love when companies exit stealth. Uh because public eye.

Welcome to the public eye. Please introduce yourself and the company.

My name is Eugene Lopez. I'm the CEO and co-founder of EDRA. With Enjo really what we saw is that models are smart enough to do basically any work inside an enterprise but the only problem is you have to tell them exactly what to do and nobody has that right like you can't go to any company and tell them just tell me exactly

I don't know what to do how am I supposed to tell you what to do

um so what we do is we built an agentic learning system that just hooks up to their existing systems of record figures out what their people are already doing writes it out for them so they can see it and then we use that to actually automate and do the work.

Makes sense. So talk about what it means to like just hook up to their internal systems because I feel like there's 20 tools in every category and every company has 30 tools and you multiply that together that's a lot of integrations. Writing new integrations is easy but is there a platform that you can sit on top of?

For sure. So we have a couple of core systems that are really good for us. We do Service Now, Jira, Outlook, of course, can't forget Outlook,

Salesforce, Zenesk are some of the main ones.

Uh that are kind of the first ones that we are working on top of.

Yeah. And then I'm sure if there's a client that's big enough that could maybe prioritize an integration or something, but how big are the companies that you're working with at this point?

Yeah. So, I mean, our our specialty is like the larger the company, the better it is, the messier the process, the more of a challenge they have. So if you look at some of our customers that we went public with yesterday includes ASOS, Hushman Wakefield, HubSpot, right? So pretty pretty big.

Yeah. What was the process like for closing those deals? Do you meet at conferences? I imagine that it's not some sort of direct response ad. You were in stealth. So how'd you get those deals done?

Yeah. Well, we've been around the block for about 10 years doing a lot of these things. So we had enough of a network. And I think it's a just a very compelling pitch, right? Like I'm not telling you, let me come in and it's going to take three to six months and we're going to figure out what we're doing. I'm literally saying, hey, just give me one static cut of your data and in a week I will show you new things about your own company's operations you didn't know about, right? And if I can't come back with that one week with something new, don't hire me. But so far it's been going pretty well. Uh are you throwing frontier models just at every problem because you're in a high growth phase, you want to have the best possible product or are you already offloading certain jobs to lagging models, open source models, cheaper models, just how much of the paro frontier are you using these days?

Yeah, so we need the smartest possible model to help us figure out what people are doing and what the process actually is. But then if you do that well enough, you don't need a super sophisticated model for it. So we just need something that's good at instruction following and that tends to be fine.

That makes sense. Uh and how much did you raise? I want to hit the gone.

So we raised $30 million.

Thank you.

Congratulations.

Just Seoia or did you uh let anyone else get a get a slice? So, so Squil let our A. We had HVC and Aar who uh they let our seed already. So, we we have continued support from them, too.

It's a murderer row. Uh, fantastic.

Well, congratulations on the progress. Congratulations on exiting stealth and thanks for taking the time to come chat with us today. Great to talk to you soon.

Thank you.

Have a good one. Let me tell you about