Pre-v1 · Onboarding cohort open

Studio OS The operating system
for venture studios
and research universities.

Design the fund, generate the thesis, and run every concept through a governed pipeline — with Crucible Startup Diligence built in and every decision sourced and traceable. Built for universities, venture studios, and serious founder-operators.

Proven inside Top-quartile venture fundsPioneering venture studiosGrowth venturesFortune 500 innovationLeading research universities
pipeline.view
stage inventory · t=now
In pipeline Killed with evidence Advanced to launch
Forged here Crucible Startup Diligence — the idea-diligence engine — now lives at startup.cruciblediligence.com free score · brief · forged versions of any idea
02 The problem

Innovation work today does not scale across a portfolio.

Concept pipelines live in places that were never built for them. The result is slow, unsourced, and indistinguishable from theater.

P·01

Innovation work lives in Notion docs, spreadsheets, and one-off decks that do not scale across a portfolio.

P·02

Decisions without sources are innovation theater.

P·03

Concepts drift rather than kill when there is no structured path to end them.

P·04

Learning does not compound across the portfolio. Each new concept starts from a blank page.

03 Who it's for

Two buyer profiles. One operating system.

Whether you're turning research disclosures into ventures or running a portfolio of early-stage concepts, the underlying work is the same — and so is the evidence trail it produces.

A · Universities, TTOs & enterprise innovation

Convert research disclosures and internal R&D into a prioritized venture pipeline.

For universities, tech-transfer offices, and enterprise innovation programs moving from disclosure to launch-ready concept, with evidence at every step.

B · Studios & independent operators

Manage concepts with shared evidence, structured validation, and honest kill discipline.

For independent venture studios, corporate innovation groups, and solo entrepreneur-operators running a portfolio of early-stage concepts.

» Research-university wedge

For Bayh-Dole-compliant institutions: every disclosure-to-venture decision carries a sourced evidence trail from day one.

Audit-ready at the technology-transfer interface, without manual reconstruction.

Entrepreneurs-in-residence drawn from Frontier research labsFortune 500 operatorsTop acceleratorsGlobal institutionsLeading consultancies
04 What it does

Four capabilities, one tenant.

Designed for how portfolio operators actually work — structured evidence at every stage, not a wiki with extra fields.

Capability · 01

Fund & thesis formation

Capital Design shapes the fund from the portfolio’s real capital-intensity mix through a transparent Monte Carlo. The thesis generator makes your focus operational — NAICS map, value chains, tech trees.

Capability · 02

A governed pipeline — with Crucible inside

Ideas journal in, concepts earn maturity-scaled gate moves, and Crucible Startup Diligence — the same engine VCs run standalone — grounds every advance. Reviewers sign off; nothing moves silently.

Capability · 03

Coaching cadence & fund operations

Check-ins become timeboxed session agendas; tasks roll forward owned and dated. LP updates draft from logged portfolio data — grounded or absent — beside capital calls and the IC calendar.

Capability · 04

University venture tooling

The Org Mapper routes disclosures by real publication and patent records — OpenAlex, USPTO. IP options track through the TTO, SBIR/STTR paths flag per concept, and the program scorecard grades the pipeline like an LP would.

EXAMPLE · Sourced artifact in the record
C-017 · Croft Stage · Discover Artifact · Anti-ICP

Anti-ICP

Mid-size almond growers (200–800 acres).

  • Labor sourced through existing H-2A contractor relationships they are unlikely to displace.[1]
  • Operating margins already thin enough that new vendor onboarding friction is prohibitive.[2][3]

Sources

  1. USDA Farm Labor Survey, 2024 Q2
  2. CoBank Rural Economic Review, 2024
  3. Western Growers labor cost benchmark, 2024
05 Fund Design

The portfolio designs the fund — not the other way around.

Capital Design is one coherent model, not a deck exhibit: your GP profile sets what’s raisable, your OpEx sets the fee envelope, and the portfolio’s capital-intensity mix — software, devices, deep tech — drives the fund shape through a transparent Monte Carlo. Every default is a labeled, editable assumption grounded in published benchmarks — Cambridge Associates’ US VC index, Carta’s State of Private Markets, CB Insights. An LP can audit the logic line by line, which is the point.

capital.design
shared computation · reprices on any edit
» gp.profile —— Emerging · anchor-LP + raise bands applied
» opex.model —— fee envelope set · sustainable, not extractive
» portfolio.mix —— 60% software · 25% devices · 15% deep tech
» monte.carlo —— fund shape · company count · reserves · follow-on policy
» thesis.generate —— NAICS focus map · value chains · tech trees
» defaults benchmarked — Cambridge Associates · Carta · CB Insights — labeled & editable
06 Frameworks

Every major innovation-theory framework, built in as sourced artifacts.

Fellows and GPs do not stitch these together manually or rediscover them concept by concept. The operating system ships with the canonical frameworks used across academic research and top venture studios — each rendered as a structured, sourced, auditable artifact that your team fills in against real evidence.

01Jobs-to-Be-DoneChristensen · Moesta / SpiekLive at v1
02Theory of ValueFelin · Gambardella · ZengerLive at v1
03Customer DevelopmentBlankLive at v1
04Lean StartupRiesv1 queued
05Running LeanMauryav1 queued
06Human-Centered DesignIDEO · d.schoolv1 queued
07Business Model & VP CanvasStrategyzerLive at v1
08Nail It Then Scale ItFurr · Ahlstromv1 queued
09Innovation ScienceFelin et al.Live at v1
10Disciplined Venture CreationSinfieldLive at v1
11Customer Journey Mappingv1 queued
12ICP + TAM / SAM / SOMv1 queued
13Competitive Analysisv1 queued
14Pricing & Unit Economicsv1 queued
15Cap Table & Pitch Deckv1 queued

Pre-integrated, pre-sourced, pre-structured — so fellows work against the framework, not on re-creating it. Six live at v1; the rest ship on the published v1 roadmap.

07 Why us

Why not just build it yourself, or stitch it from what you have?

Every studio considers the alternative. Three of them come up every time. Here's the honest answer.

ALT · 01

Why not Notion + Airtable + Miro?

Piecemeal tools give you a place to write things down. They do not enforce source discipline, surface kill paths, or compound learning across ventures. Every studio that starts this way eventually rebuilds it as a custom system — Studio OS is that system, already built and hardened across real portfolios.

ALT · 02

Why not build it in-house?

Eighteen to twenty-four months of engineering, ongoing maintenance, and no compound learning across other studios' evidence bases. Your team should be building ventures, not building the platform that builds ventures.

ALT · 03

Why not hire a consulting firm?

Consulting engagements are service-dependent. The capability leaves when the engagement ends; the evidence lives on their laptops, not yours. Studio OS is the institutional memory. It stays, it compounds, and it works across your full portfolio at once.

08 Outcomes

What changes in the first quarter.

The values the product is built to earn — structured into the record, not promised in a deck.

OUT · 01
4wks

Kill bad ideas in weeks, not quarters. Median time from concept to decisive kill.

OUT · 02
Sourced

Every claim traces to a clickable source. No “per internal analysis” citations allowed in the record.

OUT · 03
1:N

One tenant, many studios. Shared evidence across the portfolio without merged governance.

» Benchmarks from pre-v1 studio work; cohort-calibrated at v1 launch.

In every build 14 analyses per Deep Diligence build 30+ frameworks as sourced artifacts every claim cited — or marked evidence-absent
09 Pricing

Usage-based pricing — pay for the pipeline you run.

Seats are never the meter — every tier is unlimited seats. Browsing, blink scores, and Concept Briefs are free; a credit is spent only on a full Deep Diligence build. 1 credit = 1 build; unused credits roll over.

Team
» $800/mo · $8,000/yr
TIER · 01

For a studio, fund, or group getting the operating discipline in place.

  • Unlimited seats — the whole team
  • 150 Deep Diligence builds a year · ≈$53 a build
  • Domain access — up to 30 NAICS codes
  • Fund Design, coaching cadence, and fund ops included
Request a working session
Campus · Institution
» from $50,000/yr
TIER · 03

For research universities, TTOs, and enterprise innovation programs with audit requirements.

  • Org-wide access · SSO — no browse caps
  • 1,250 builds a year · full NAICS map
  • Disclosure ingest · program scorecard · audit-ready decisions · API export
  • Annual license · multi-year partnerships welcome
Talk to us

» One shared pricing unit — the pipeline you run. A credit is a full Deep Diligence build; everything upstream of it is free.

10 Origin

Built by operators, in production across real portfolios.

The operating system an active studio operator wished existed — built, hardened, and run in production before being offered to others.

Studio OS is not a generic productivity tool wrapped in venture-studio vocabulary. Every framework, every decision point, every kill path came out of actual concept work at actual studios — designed by operators running real portfolios, run across multiple studios — including university tech-transfer pipelines, corporate innovation programs, and independent founder-operators — before being offered to others.

Proven inside Top-quartile venture fundsPioneering venture studiosGrowth venturesFortune 500 innovationLeading research universities
Entrepreneurs-in-residence drawn from Frontier research labsFortune 500 operatorsTop acceleratorsGlobal institutionsLeading consultancies
11 Request access

We are onboarding a small cohort of universities, studios, and founder-operators for v1.

If you are running a research-disclosure pipeline, a multi-concept portfolio, or a single committed founder thesis — and you are tired of decks pretending to be decisions — we'd like to talk.

» Cohort — universities, studios, founder-operators » Target onboarding — Q3, rolling » Response time — within 3 business days