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AI studio vs building AI in-house
In-house is where you want to end up. It is a slow, expensive place to start.
| Studio Labs | Building in-house | |
|---|---|---|
| Time to first agent in production | 8 to 16 weeks | 6 to 12 months of hiring and ramp |
| Senior AI talent | A squad that has shipped production agents | You compete to hire it in a scarce market |
| Production guardrails experience | Auth, RLS, evals, observability from day one | Learned on your dime |
| Hiring risk | None, we are the team | High, wrong hires are expensive |
| Knowledge transfer | We level up your team as we go | Not applicable |
| Cost posture | From $9k per engineer per month, embedded | Salaries, benefits, and ramp before any output |
The real cost of starting in-house
Hiring senior AI engineers is slow and competitive, and the first production agent does not ship until the team is hired, ramped, and has learned the guardrails the hard way. The clock runs the whole time.
How we hand it back to your team
We embed a senior squad, ship to production now, and level up your people as we go, so the capability stays after we leave. You end up in-house, without paying the cold-start.
Where does your funnel leak?
Book a 30-minute discovery. We map where conversion breaks in your product and tell you the range to fix it in production.
Talk to sales