Product
Features people keep using
Taking AI from something your team is experimenting with to something in front of users, working reliably enough to leave on.
We help companies become AI native.
Not a strategy deck, and not a pilot that stalls in staging. An ex-FAANG team that pairs product expertise with the engineering caliber to actually ship it.
Ex-FAANG team
Product and engineering
Small and senior
Where we work
Wherever the company touches the model.
Most of it isn't the model at all. It's the product decisions, the workflows, and the habits around it — which is usually where the work actually is.
Operations
Workflows rebuilt around models
Deciding what the model should own, what stays with people, and how the two hand off — then rebuilding the workflow end to end.
Teams
Craft your team keeps
The tooling, instincts, and quality bar that let your engineers and PMs keep moving after we're gone. We'd rather leave capability than dependency.
Direction
Bets worth making
Where this changes your business and where it's noise. Which things to start, and — more usefully — which to stop.
How we work
A few things we're opinionated about.
Expertise and the bar to build it
The people advising you are the people writing the code. You get product judgment from teams that have operated at scale, and an engineering standard that holds up in your codebase.
Inside the team, not beside it
We work in your repo, your standups, your on-call. Advice delivered from outside the building tends to stay outside the building.
Shipped beats planned
Something small and real in front of users teaches you more in a week than a quarter of planning. We aim to get there fast and then keep going.
It has to outlast us
Everything we build is meant to be handed over — readable, tested, documented, and owned by someone on your side before we leave.
Start a conversation.
Tell us what you're trying to do and where it's stuck. If we're the right people for it, we'll say so — and if we're not, we'll say that too.