Monthly
Engagement cadence
No
Lock-in contracts
Founders
Priority access
01 What's included

Three things, every month.

Light enough to be sustainable. Concrete enough to actually move the work forward.

Stream 01

AI development

A reserved block of senior engineering capacity each month. New features, integrations, model upgrades, performance work — drawn from a shared backlog you control.

Stream 02

Strategic guidance

Monthly working sessions with a founder. We read the data, the roadmap, and the market — and tell you where to spend the next month's effort.

Stream 03

Priority founder access

A dedicated channel to a founder for urgent calls — when a model misbehaves, a vendor pivots, or a board question lands and you need a real answer fast.

Who is this for?

The retainer works best for SMEs that are past the question of whether AI is relevant — and ready to move.

You've already validated AI

You ran a pilot or an audit, you know where the value is, and now you need a technical team to keep building without hiring full-time.

You're scaling faster than your team

Your operations are growing and manual processes are becoming bottlenecks. You need AI capacity on demand without the overhead of recruitment.

You want a technical co-pilot

You have strategic clarity but lack the AI and data engineering depth to execute. You want founders who can challenge your thinking and ship at the same time.

02 How it works

Three steps to get started.

No lock-in. Cancel any month. The point is to earn the renewal, not contract for it.

01
Week 1

Scoping call

A working session to understand your systems, your team, and what success looks like. We agree the monthly cadence and capacity.

60 minutes
02
Week 2

Onboarding

Code, data, and infrastructure walk-through. Shared backlog set up. First strategic session scheduled. We're operational by week's end.

3–5 days
03
Every month

Ship & review

Reserved development capacity drawn from the backlog, a monthly strategic session, and priority access throughout. Cancel any month.

Recurring
03 Who it's for

Teams running AI in production who don't want to hire a full team to keep it running.

Most retainers start after a Custom AI Build — but we also pick up systems built by others when the team that shipped them has moved on, the original vendor went quiet, or the codebase is starting to drift.

  • Already in production
    At least one AI system serving real users or customers
  • Small or no in-house ML team
    You need senior judgement on tap, not a full hire
  • Real backlog of improvements
    More work to do than headcount to do it with
  • Want a senior partner — not a vendor
    Someone whose advice you'd actually take to the board
30-minute scoping call

Keep what you built
running, and getting better.

Tell us what's in production. We'll tell you whether a retainer makes sense — and what it should cover.