Sep 17, 2026 · 1 hr · 12 segments
In this episode, we sit down with Chris Gladwin, founder and former CEO of Ocient, the company behind the software powering the world's largest data-analyzing systems. A serial deep tech founder who…
Chris GladwinGuestAri NewmanHostDavid MandellHost
And A lot of people say, oh, my stuff is all new, but it is very unusual to build a core new computing architecture, some aspect, a new way of doing networking, a new way of doing memory, a new way of doing compute.
In our case, we're doing a new way of analyzing data, driving value from data.
And the reason why you don't typically want to start from scratch, like in the case of OCEAN, here's the series A and the seed pitch.
all right, we're going to need like $100 million to start, and then we're going to need at least another $100 million, and you're not going to see revenue for six years.
And then the other thing is, You're building something like truly, like in our case at OCEAN, there had been two prior attempts to build this kind of capability, you know, multi-hundred million dollar projects.
And, you know, meanwhile, you've got like, I don't know, the largest collection of market cap ever, Google, Amazon, Microsoft, Snowflake, Databricks, et cetera.
And not only that, if you come into market with, you know, some, you know, bigger, faster scale of forever, amazing price performance database, and you're 50% better.
Like no one's going to change vendors to someone they haven't heard of, you know, that's 50% better.
Okay, so tons of risk, money that, you know, huge amount of money gets tied up forever.
So we built, we had built a fundamentally different and better architecture for analyzing large amounts of information.
And we can talk about that more if you want, like, what does it really do? But that's what we built.
And A lot of people say, oh, my stuff is all new, but it is very unusual to build a core new computing architecture, some aspect, a new way of doing networking, a new way of doing memory, a new way of doing compute.
In our case, we're doing a new way of analyzing data, driving value from data.
And the reason why you don't typically want to start from scratch, like in the case of OCEAN, here's the series A and the seed pitch.
all right, we're going to need like $100 million to start, and then we're going to need at least another $100 million, and you're not going to see revenue for six years.
And then the other thing is, You're building something like truly, like in our case at OCEAN, there had been two prior attempts to build this kind of capability, you know, multi-hundred million dollar projects.
And, you know, meanwhile, you've got like, I don't know, the largest collection of market cap ever, Google, Amazon, Microsoft, Snowflake, Databricks, et cetera.
And not only that, if you come into market with, you know, some, you know, bigger, faster scale of forever, amazing price performance database, and you're 50% better.
Like no one's going to change vendors to someone they haven't heard of, you know, that's 50% better.
Okay, so tons of risk, money that, you know, huge amount of money gets tied up forever.
So we built, we had built a fundamentally different and better architecture for analyzing large amounts of information.
And we can talk about that more if you want, like, what does it really do? But that's what we built.
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