We build AI that works, and we know the investors.
An AI consulting firm that builds AI you can measure and own, and introduces the founders it works with to investors it knows.
◆ We measure it. You own it.The problem
AI that never ships. Capital that never connects.
Most enterprise AI is slideware and pilots that die before production — billed by the hour, locked to a vendor, and impossible to measure. Nobody can say if it worked.
Strong founders can't reach warm capital. Investors drown in un-vetted deal spam. Both sides are starved for the same thing — trustworthy signal.
The two problems share one root: there is no proof you can trust.
The idea
Two sides that feed each other.
We build AI companies can measure and own. Good work makes a founder worth backing, so we can introduce them to investors we trust. The work is the proof; the network is the reach.
- Build AI inside a company's own systems, judged on one number they pick, then handed over. Paid monthly.
- Introduce the founders we work with to investors we know. Introductions only.
- Earn trust on both sides with every job and every intro. That's the part that's hard to copy.
The consulting work
AI you can measure, that you get to keep.
Four kinds of work. Each judged on a number the client picks up front. We keep it running and hand it over. Paid monthly, not as a one-off project.
Automate a real workflow end to end. → hours saved
Documented AI controls and monitoring. → findings caught
Ship working internal tools fast. → time-to-live
Wire clean data into the AI. → data coverage
The wedge in
A 2-week pilot. Money back if the number doesn't move.
- One workflow, success number agreed in writing before any build.
- Built inside your own infrastructure — not a sandbox demo.
- A scorecard: before → after → sample → method, published so you can re-check it.
- If it doesn't move the number, you don't pay the fee — and you keep the code.
The guarantee puts the risk on us — which is exactly why an early studio is safe to hire.
Line 2 — connect
The verified capital network — compliant by design.
- Introductions and information only — we never negotiate terms or touch money.
- Verified-accredited investors only, keeping intros inside private-placement rules.
- Investors pay a flat subscription for curated, AI-validated dealflow.
- Never a cut of a raise, no per-intro success fee, no pay tied to a financing.
- Equity only as payment for build work — never for an intro.
- A published curation standard + a conflict firewall on any deal we hold equity in.
Why it's hard to copy
The two sides feed each other, and it's built on trust.
Good, measured builds become real references, which bring better clients and better founders.
A strong founder earns a real introduction. When those bets pay off, investors trust our picks more.
It runs on relationships, and those take years to earn. A consulting shop with no network has nothing to introduce. An intro service with no real work has no proof behind the names. Doing both well is the hard part.
Market
A narrow, premium wedge: regulated & data-sensitive.
Build side (now)
Legal, healthcare, fintech, insurance — where checked AI is worth a premium and specialists retain longer than generalists. Our compliance pillar is strongest exactly here.
Capital side
Angels & angel groups, micro-VCs & emerging managers, family offices, syndicate leads. Verified accredited only — a low-noise, high-trust membership.
Narrow wins: one wedge, premium pricing, deep references — then expand.
Business model
How we make money.
| Stream | Type | What it is | Price |
|---|---|---|---|
| Build retainers | Recurring | Setup + monthly — Starter → Enterprise | $1.5k–$20k/mo |
| Investor membership | Recurring (ARR) | Signal · Syndicate · Inner Circle | $3k–$12k/yr |
| Traction advisory | Lumpy | Metrics + data-room hygiene, sold apart from any raise | $8k one-time |
| Equity / SAFE | Upside | Only as payment for build work, in lieu of cash | not for intros |
The monthly retainers and memberships are the real business. One-off fees and equity are extras, kept out of the recurring number.
The model — illustrative, not achieved
A compliant path to $200k+ blended MRR.
| Blended MRR | AI retainers (mix) | Investor subs | Timing (solo start) |
|---|---|---|---|
| ~$10k | 2 Starter + 1 Growth | 3 | Mo 9–13 |
| ~$25k | 3 Starter + 1 Compliance | 6 | Mo 14–20 |
| ~$50k | 2 Growth + 2 Compliance | 5 | Mo 20–30 · first hire |
| ~$100k | 5 Growth + 3 Compliance | 20 + 2 cash founders | Mo 30–42 · small team |
| ~$200k | 8 Growth + 4 Compliance + 2 Enterprise | 35 | Mo 42–60 · team of 6–8 |
Strict MRR = cash, recurring, non-contingent. Excludes success fees, equity, and equity-founder bridges. Regulated procurement is 3–9 months, so Compliance revenue lands from ~Mo 9.
Why now · who
Spending is up, trust is down.
Why now
- Companies are spending fast on AI but can't tell what's working.
- New rules are landing in exactly the regulated fields we focus on.
- Founders and investors both want a name they can trust.
Who's building it
- A small, senior team — you work with the people who build.
- We don't put fake clients, numbers, or logos on anything.
The ask
Help us turn early pilots into steady revenue.
We're raising $[ ] to hire the first senior builders and get the investor-membership side running, turning early pilots into a steady book of monthly revenue.
- Use of funds: senior build hires, the membership side, and sales into the regulated fields we focus on.
- What's real today: the published method, the money-back pilot, and the pricing.
- What we want from you: capital, plus intros to regulated buyers and accredited investors.