AI for a new product
You could not, because you needed signal in weeks, not months.
Now you can. KFoundry builds software, rebuilds operations, and trains your team on agents.
Or just email us: hello@kfoundry.ai
Three operators, not consultants. The three of us, in the room with your team. Nobody else.
Our services.
Problem: You have a product bet you cannot test fast enough.
Approach: We build it with your team from week one, on mock data.
Result: Working version in weeks. Alpha in four, production in eight.
Who buys it: A product or business leader with a bet they cannot test fast enough.
Problem: Running the function the way you want would take thirty people you do not have.
Approach: We rebuild the function agent-first, working inside it rather than next to it.
Result: Agents take the rote decisions, your people keep the judgment, and the bill stays flat.
Who buys it: A COO or functional leader who would need thirty people to run it the way they want.
Problem: Your board asked for an AI strategy, and your teams have to deliver it.
Approach: We teach a mental model for your business, then train your builders on real problems.
Result: You judge a use, a vendor, and a bet yourself, instead of guessing.
Who buys it: A CEO or CIO whose board just asked for an AI strategy, and the teams who have to deliver it.
Every engagement leaves a foundry behind: the knowledge your best people carry, written down, exercised, and owned by you. It is the reason the second project costs less than the first, and the reason none of this expires when we do.
Recent work.
The team printed t-shirts.
They wanted every large account serviced its own way, without hiring for it.
They could not, because those rules lived in a few people’s heads and in free-text notes no system could read.
Now they can. We turned the supplies desk into an agent-first operation, built with the team from week one. The team printed t-shirts.
2x activation rate
Measured on the beta.
They wanted to know whether a new product would hold people, before spending a year finding out.
They could not, because a testable version took a year to build.
Now they can. We built the beta in six weeks, and the knowledge foundry underneath it, so the next one starts warm.
Three operators, not consultants.
We led teams before we built KFoundry. Each of us managed people first, then rebuilt how we work with agents. That is why we can build it and teach your team to keep building it.
Managing Partner. Career CTO, twice over.
Chase is a career CTO, twice over at mid-cap companies, with AI woven through everything he's built in recent years. He's known for cutting to the problem worth solving, and telling you straight whether we're the right tool for it. Based in Southern California.
chase@kfoundry.ai
Partner. Senior data scientist.
Gannon is a senior data scientist and the deepest technical mind in the room. Point him at your operational data and he'll find the money leaking out of it; hand him a build and it will hold up in production.
gannon@kfoundry.ai
Partner. Head of product at Ibotta.
Madi is a head of product many times over: 15+ years across e-commerce, B2B performance marketing, and retail strategy, most recently at Ibotta, a publicly traded consumer-tech company. She has embraced the new way of building products with AI, and she's known for getting teams to build the right things.
madi@kfoundry.aiBook an intro →What we run on.
You don’t run your business in a demo environment. Neither do we. Everything here runs on our own work and our clients’ before it earns a place on this list.
In daily use, on our work and our clients'.
Some of these won't make it.
What’s next in the lab.
We’re testing the next round on live client work now. The list updates monthly.
The problem resists every fix. You have patched it, staffed it, and bought tooling for it. It keeps coming back.
Cracking it would visibly move the business. Not a nice-to-have. Something your CFO would see in the numbers.
Speed changes the outcome. Three months instead of twelve shifts what happens next, not just how it feels.
One conversation. We’ll show you the plan to crack it.
