Time is the one thing a startup can't raise.
Building the team is as hard as finding product-market fit. We're the team that helps you build — from idea to market — fast, plugged in from your earliest stage.
You find product-market fit only as fast as your team can build.
Runway burns weekly
Every week you're not shipping is money and momentum gone.
Senior builders are slow to hire
The people who can take an idea to a shipped product are the hardest to find and the slowest to onboard.
The team is the constraint
You find product-market fit only as fast as your team can build, ship, and learn.
The fastest path to PMF is a team that can already build — plugged in now.
Early on, you can't separate what to build, how to build it, and where AI gives you an edge.
Taking an idea to a shipped product normally takes three senior hires — a CTO, a CPO, and an AI leader — who then have to align. Slow, expensive, and hard to get right. An AI-native CPTO fuses all three into one accountable owner — product, engineering, and AI as a single decision, not three roles that have to agree.
Hiring them separately runs north of $1M a year, plus months of recruiting. You get all three fractionally, from day one — with the team. (It's the fastest-rising leadership role for exactly this reason — and a signal of maturity when you raise.)
We build AI-native products — end to end, with you.
From the first idea to a product in market — and whatever it needs built along the way.
The path — idea to scale
Is it buildable, and what it really takes. We pressure-test the idea and scope the build before you spend.
Proof the hard parts work.
A minimum viable product, shipped.
A minimum sellable product, ready for customers.
An embedded pod that keeps building.
We build — whatever your product needs.
A palette of building blocks we compose into one AI-native product.
AI-native — and fast.
Agentic coding
Our engineers orchestrate AI agents that take a task and run for hours, not minutes; one engineer ships what used to take a team.
Spec-driven, not vibe-coded
We write the spec first and build to it, so AI-generated code doesn't drift, hallucinate, or rot as you scale.
Eval- and test-gated
Every AI feature ships behind evals, tests, and a human review; probabilistic doesn't mean unreliable.
AI-native product
AI is the core from day one, with generative UX built around what AI can now do — not old forms with a chatbot.
Technical leaders, not task-takers — engineers who've led product builds from startups to enterprise-scale systems, owning outcomes, not executing tickets. AI-multiplied.
AI has rewritten the economics of building. An AI-native CPTO and a few experienced engineers — armed with the right AI tools and modern approaches — outbuild a team of dozens working the old way. What used to take a large team is now faster, cheaper, and within reach.
Start where you are; scale as you ship.
One to two weeks: we pressure-test the idea, scope the build, and hand you wireframes, a technical plan, and a firm quote for what's next. You leave with a blueprint — whether or not you continue. Planning is the cheapest, highest-leverage phase: a little here saves a lot downstream.
Book a meetingThen, by stage — reference figures, final scope and quote set in Discovery
Proof the hard parts work.
A minimum viable product, shipped.
A minimum sellable product, ready for customers.
An embedded pod that keeps building.
AI-native scope (agents, RAG, guardrails, integrations) adds ~15–30%. Assembling this in-house runs north of $1M a year across three senior hires (CTO, CPO, AI leader), plus 3–6 months of recruiting and 1–5% equity. This ships now, no dilution. Pre-seed / seed: cash + equity options available.