Stealth Intelligence

The dataset behind every Stealth decision.

Six years of operating data across 600+ tracked companies, 1,000+ university partners, 47,000+ founder profiles, and the credentialing graph that ranks every operator in the network. Now licensable to institutional investors, corporates, and researchers.

600+
Tracked Companies
↑ 47 this quarter
1,000+
University Partners
↑ 11 this quarter
47K
Founder Profiles
↑ 2.1K this quarter
312K
Verified Credentials
↑ 38K this quarter
73M+
Data Points
↑ updating live
The data layers

Six datasets. Cross-linked. Continuously updated.

Stealth Intelligence is not a single table. It's six interlocking datasets that share keys and update on rolling cadences. Each layer answers a different question — and combined, they describe the entire venture-creation lifecycle.

Dataset 01

Company Graph

600+
Tracked companies · Updated weekly

Every company we've ever tracked through the studio pipeline — incorporated, evaluated, advised, or watch-listed. Cross-linked to founders, fundraising, customers, and exits.

StageCapital RaisedARRHeadcountSectorFoundersInvestorsExits
Dataset 02

Founder Profiles

47,000+
Operators · Updated daily

Every operator who has touched the Stealth or Forkaia ecosystem — incoming applicants, scout sourcing pipeline, alumni, portfolio CEOs, and the wider operator network mapped over time.

Career trajectoryForkaia ScoreSectorOperating repsExitsCompensation
Dataset 03

University Partnership Graph

1,000+
Institutions · Updated monthly

Every university we partner with through Forkaia® — recruiting pipeline strength, credit-bearing program participation, research-transfer history, and faculty-led venture pipeline.

RegionProgram tierFunnel volumeConversionFaculty deals
Dataset 04

Credential Ledger

312,000+
Verifiable credentials · Open Badges 3.0 · Updated live

The work-credential graph that powers Forkaia® and ranks every operator in the Stealth network. Cryptographically verifiable, W3C Verifiable Credentials standard, publicly queryable.

IssuerRecipientSkill tagsIssued dateTierForkaia Score
Dataset 05

Capital Flow Map

2,400+
Rounds tracked · Updated weekly

Every fundraising round across the tracked company set — terms, lead investors, co-investors, valuation marks, dilution, and follow-on patterns. Subset is structured + named, subset is structured + anonymized.

Round typePre-moneyPost-moneyLeadCo-investorsClosed date
Dataset 06

Method Performance Metrics

5,800+
Method engagements logged · Updated monthly

The proprietary record of how the Stealth Method itself performs. Capital-to-revenue ratios, time-to-MVP, time-to-pilot, founding team velocity, and the operating benchmarks that prove the system works.

Days-to-shipBurn rateCapital efficiencyCEO recruit timePilot conversion
Sector + geographic coverage

Where the dataset runs deep.

Coverage strength varies by sector and region. Strongest in software, marketplaces, and consumer brands across North America. Selective coverage in deep tech, hardware, and emerging markets where the Stealth scout network has rep.

Sectors with deepest coverage

  • Industrial Software 187 companies
  • Applied AI · ML Infrastructure 142 companies
  • Fintech · Payments · Infra 98 companies
  • Direct-to-Consumer Brands 87 companies
  • Marketplaces · Platforms 76 companies
  • Edtech · Career Tech 68 companies
  • Energy · Climate 42 companies
  • Healthcare · Bio-adjacent 36 companies

Regions actively tracked

  • USA · Tier 1 metros ~62%
  • USA · Tier 2 emerging hubs ~15%
  • Canada · Toronto / Vancouver ~5%
  • UK · London ~5%
  • EU · Berlin / Amsterdam / Paris ~4%
  • LATAM · São Paulo / Mexico City ~3%
  • MENA · Dubai / Riyadh ~3%
  • SE Asia · Singapore / Jakarta ~3%
Use cases

What partners do with it.

Stealth Intelligence has been quietly informing decisions across the studio for years. We are now beginning to extend access to select institutional partners under structured data licensing agreements.

01

LP due diligence

Institutional investors use the dataset to validate venture studio claims against actual outcomes — capital efficiency, exit timing, founder quality across cohorts.

02

Corporate market sizing

Fortune 500 corp dev teams use the company graph and capital flow map to identify white-space opportunities in their adjacent markets before they appear on public databases.

03

Sector-thesis development

Sector-focused funds use the Method Performance Metrics to benchmark their own portfolio against studio-built peers — what's the real time-to-pilot inside applied AI?

04

Talent benchmarking

HR + people teams at growth-stage companies use the Founder + Credential graph to benchmark senior hiring decisions against verified operator track records.

05

University partnerships

Research universities use the Partnership Graph to benchmark their tech-transfer effectiveness against peer institutions — and identify untapped employer-pipeline opportunities.

06

Government policy research

Federal and state economic development authorities use the regional capital flow data to model where venture investment is forming and where intervention is needed.

Access tiers

Three ways to license the data.

Access pricing reflects the strategic value and exclusivity of the dataset. All tiers include quarterly refresh, named-account support, and a confidentiality agreement that protects the integrity of the underlying network.

Read tier
$24K
/ year

Quarterly Dashboards

Quarterly PDF dashboards summarizing the dataset across all six layers. Suitable for LPs, research desks, and university partners who need periodic visibility without raw data access.

  • Quarterly portfolio + sector dashboards
  • Annual aggregated benchmarks report
  • Read-only access to high-level metrics
  • 1-hour analyst Q&A per quarter
  • Named account manager
Inquire about Read access →
Custom tier
$250K+
/ engagement

Bespoke Research

Stealth analysts work with your team on a defined research question, producing a custom report or model from the underlying dataset. Bespoke engagements only.

  • Dedicated research team for engagement period
  • Custom data pull + analysis
  • Final 60–120 page report deliverable
  • Source data documentation + methodology
  • Embedded executive briefing with your team
  • Exclusivity terms negotiable per engagement
Scope custom engagement →
How the data is collected

Consent-first. Privacy-engineered.

Stealth Intelligence is built from data that founders, universities, and portfolio companies have explicitly opted into — through Forkaia® onboarding, credentialing flows, fellowship applications, and partnership agreements. No scraping, no purchased lists, no aggregator backdoors.

Privacy + consent commitments

What partners and operators can rely on

Every record in the Stealth Intelligence dataset originates from explicit, opt-in collection — Forkaia® student profiles, credential issuance flows, university partnership agreements, and portfolio company disclosures. We do not buy third-party lists, scrape, or use undisclosed data sources. Personally identifiable information is segregated from the aggregate dataset and never licensed at the individual-record level. Licensed data is delivered de-identified or aggregated unless a recipient has separately signed enrichment agreements with the individual. The dataset is GDPR + CCPA compliant and subject to ongoing audit.

The receipts are in the data.

Stealth has been building the dataset for six years as a tool to inform our own decisions. We're now opening selective licensing for the institutional partners who need this visibility to operate at scale. Inquire about access.

All inquiries treated under NDA · data@stealth1000.com