Discovery used to cost millions.
Learning whether a company would work required a year of engineering, infrastructure, and payroll before any real signal arrived. That expense forced the industry to invest against judgment rather than evidence.
We build B2B software companies to a ninety-day commercial reading, then let the data decide what happens next.
Learning whether a company would work required a year of engineering, infrastructure, and payroll before any real signal arrived. That expense forced the industry to invest against judgment rather than evidence.
The deck, the warm intro, the pattern match, the founder-first thesis, the portfolio math built around ninety percent failure. Instruments for allocating capital in the absence of proof.
A production product ships in weeks. Infrastructure is credited. Ninety days and roughly five thousand dollars produce a genuine commercial reading. When measurement is cheaper than judgment, the case for judgment weakens.
“We are not better guessers. We have stopped guessing.”
Long enough for an enterprise buyer to answer. Short enough for the answer to stay affordable.
A production product in front of one named enterprise buyer, with contract value on the table. Shipped, not demoed.
Studio-run outbound against a defined account list. The founder holds every buyer conversation and every close.
Revenue, slope, retention, and objection quality against a single threshold. $100K ARR is the point at which the question stops being subjective.
Four readings. The data selects.
The industry records binary outcomes because a prediction can only be right or wrong. We publish the full distribution.
Revenue and slope sufficient to underwrite the next round. Warm introductions to lead investors. Founder runs the process.
A working business without seed-round trajectory. Continue and re-test in a quarter, or operate for cash flow under joint ownership.
The proposition holds; the market or the metric is not ready. Low-cost hold with a set re-evaluation date.
The wedge did not land. You retain everything: the company, the code, the customers, the domain. No clawback.
“A kill is a completed experiment. The expensive mistake is keeping the company alive to protect the original bet.”
A method built on evidence only holds if the evidence stays affordable to collect.
The higher tiers normally require venture backing or a referral. As a registered provider, we place them into every company on Day 1. Typical amount actually deployed across the 90 days: $50–75K per company, weighted to compute and outbound. The rest is available as the company grows into it.
Azure + Azure OpenAI + GitHub Enterprise
Portfolio tier, via our Provider ID + Bedrock
AI-First track + Vertex + Gemini
for compute-heavy builds
Stacked provider maximums · verified quarterly · actual allocation varies by tier
The method requires the discipline of shipping and closing paying customers. It cannot be run from a term sheet.
One company built as a founder and sold; two others sold as a senior operator in VP and CMO roles. Regulated healthcare, where a single enterprise sale takes a year and every buyer conversation has to be earned.
Several years sourcing early-stage healthcare software into venture pipelines. Dozens of companies evaluated on decks and narrative because the evidence did not yet exist to evaluate them on.
Regulated-healthcare go-to-market. Senior operator through the transaction.
Clinical trial operations software. VP-level operator through the public acquisition.
Patient-matching commercial, acquired while CMO. Interim CEO post-acquisition.
Additional operating partners announced on joining.
You have a product with early signal.
We attach the studio’s sales engine, capital network, and operating cadence to what you have already built. Your idea, your code, your customers.
You are a founder without a hypothesis.
Select a pre-scoped wedge: named buyer, sized ACV, a stated reason it should work. Validated by the studio before you write a line of code.
You are half the founding team.
A technical founder without a commercial counterpart, or the reverse. We introduce a match inside the cohort with equity documented before Day 1.
The studio is compensated on a positive commercial outcome. A negative reading returns ninety days.
Worked SAFE examples at different raise sizes: /safe-terms.
No curriculum, no batch, no demo day. A cadence with a reporting date.
The studio does not build on contract. Every build results in a co-owned company.
The studio operates inside the company. A fund follows the reading, on institutional terms.
Companies that require coaching more than commercial validation are not a fit.
Every engagement resolves at Day 90. No portfolio limbo.
Every company appears here at Day 90 with its reading, kills included.
Company, buyer, reading, and outcome published on report.
Company, buyer, reading, and outcome published on report.
Company, buyer, reading, and outcome published on report.
15–25% common, minority. Adopt at the lower end, Assemble at the higher. Documented before Day 1.
None. Build stack, credits, sales team, and operators are compensated in studio equity. The founder contributes product and time.
The reading determines the path. GROW if revenue is real but not venture-shaped. PARK if the signal is early. KILL if the wedge did not land, in which case the founder retains the company in full.
The founder. Board majority and CEO seat retained, domain in the company's name. The studio holds a minority preferred stake via the build-value SAFE and an observer seat.
The studio prepares the evidence package and opens warm introductions to lead investors. The founder runs the process and closes.
A short application. An operator replies within seven days.
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