By Venture5 Team | September 24, 2025
Most AI companies are struggling with a brutal stat: 95% of enterprise AI projects are failing. But Distyl AI just closed a new $175 million Series B (including participation from Lightspeed, Khosla, DST, and others) with a very different story—100% production success with Fortune 500 clients, 5x growth in 2024, and profitability since Q3 2024. We sat down with their CEO to understand how they cracked the enterprise AI code.
TL;DR: Distyl’s secret sauce is vertical integration (research + products + services), killing traditional POCs in favor of rapid outcome delivery. The result? Multi-year Fortune 500 contracts and 100% production success.
Why Traditional Enterprise AI Approaches Are Fundamentally Broken
Arjun’s core thesis challenges the entire market approach to enterprise AI. Most companies are trying to solve this with either pure product plays or traditional consulting—and both are failing:
“The product companies were leaving a product behind and it wasn’t really creating value in adoption… The large services and systems integrators were also failing because they didn’t have the talent or the products necessary to make this technology work.”
Distyl’s answer is to vertically integrate the three hardest parts that enterprises actually need:
- Research teams to solve unknown unknowns
- Battle-tested products that can handle enterprise scale
- Services to own outcomes directly with customers
“We bring that all together as one package and clients love that. And I think that’s been the key to producing outcomes in under a quarter.”
The business model matters too. Traditional services create perverse incentives—time and materials billing means consultants are disincentivized to deploy AI since automation threatens billable hours.
The Death of the POC Model (And What to Do Instead)
Here’s a perspective that’ll might make an enterprise sales person uncomfortable: POCs are terrible for AI projects.
“I happen to think that the traditional SaaS POC model is a very bad fit for AI… When people think through the checklist of features that they need that they usually go through in a POC, it almost never ends up being the right thing that’s necessary for AI.”
Distyl’s alternative: “Let’s just figure out the first outcome we can go produce together. And we’re going to make it happen in weeks, definitely less than a quarter.”
Once clients see that first outcome in production, “it quickly becomes an obvious choice to turn it into a program”—which may explain their multi-year contract success. That, and the fact that they’re building alongside their customers.
“When it comes to AI or really any frontier technology, a lot of the technology needs to be refined and developed at the same time as deployment… The hardest technology problem is not one that you can solve in Palo Alto. It only exposes itself when you’re in the field solving the customer problem.”
The Venture5 Take
Impressive results for the company so far: 100% production success, profitable growth, and Fortune 500 clients signing multi-year deals. Customers seem quite willing to pay, and handsomely, for integrated verticalized AI solutions. And the business model feels very “Palantir”, which isn’t surprising given Arjun had a stint there. If Distyl in the coming years achieves even a small margin of the success that Palantir ($400B+ market cap) has seen, all of the investors on today’s cap table will be very pleased.
