A closed funding round is the one credential an adjudicator, a bank and a lawyer all read the same way: independent parties examined this person's work and put money behind it. In critical-and-emerging-technology fields — AI, semiconductors, quantum, biotech, clean energy, robotics — that validation lines up with national-interest framing. This cohort is a blueprint: the round data is already tracked and measured, the build is specified, and no rows have shipped yet — the first delivery is scoped to the practice that commissions it.
blueprint · rounds tracked through 2025 · MEASURED · Outricher data
NIW and O-1 practices with venture clientele, and firms building referral relationships with accelerators and funds. A funded founder is rarely a single case: behind each row sits a cap table of co-founders, early employees and investor-introduced peers — founders cluster — accelerator batches and cap tables put their peers one warm introduction away, with the round as the shared context.
Company-to-funding links are tracked across the professional-profile graph. Measured for 2025: 8,333 seed rounds (median $2.5M), 2,886 Series A (median $12.5M), 1,317 Series B (median $28.6M). The round date makes timing precise — 90 days post-announcement is the window before counsel is chosen.
→ timing: 90-day post-round windowCritical-and-emerging-technology classification, built from company descriptions and industries. Generic SaaS does not carry national-interest framing on its own; AI infrastructure, semiconductors, quantum and biotech do. The filter keeps the rows an attorney can frame and drops the rest.
→ AI · semis · quantum · biotech · clean energy · roboticsThe funded-company signal joins the founder archetypes from Cohort 01. An offshore founder whose US entity just raised is the single highest-leverage row this engine produces: fresh capital, US business gravity, and a visa question that opens on the round date.
→ joins Cohort 01 archetypesNo sample table on this page, because no rows have shipped from this cohort yet — publishing invented ones would defeat the point of the engine. What follows is the delivery contract: the six field groups every row carries when the build runs.
| Field group | What ships in it |
|---|---|
| Founder identity & role | The person, their founder-level title, and the profile record behind it — the same real-founder gate Cohort 01 uses, so hired executives and advisors do not slip in as founders. |
| Company + round | The funded company with its round: stage, size band and round date. The date drives the 90-day outreach window; the band places the company without pretending to per-round precision. |
| Field classification | Critical-tech category — AI, semiconductors, quantum, biotech, clean energy or robotics — derived from company descriptions and industries, attached so the national-interest framing is visible per row. |
| Founder visa shape | Offshore founder with a US entity, or US-based immigrant founder — the Cohort 01 archetype logic applied to the funded pool, ranking which rows carry a live visa question. |
| Evidence tags | The named signals behind the rank — round link, field class, archetype markers — carried on the row so your intake conversation starts from evidence, not from a cold score. |
| Verified contacts | Email and profile contacts, verified-or-empty. Nothing is guessed or pattern-generated; a blank cell is a blank cell. |
Delivery cadence: a monthly fresh-rounds slice — each month's new rounds, classified and overlaid — or a one-off backfill of the last 12 months of rounds. Both are deduplicated against anything previously delivered to you.
The event layer is measured, and its limits are part of the spec. Round data is a company-level fact with a date on it; everything person-level on top of it is a ranked inference, labeled as such on the row.
The honesty boundary
Round data marks the company event; it does not state the founder's status or intent. The overlay ranks propensity — evidence-tagged rows for your team to qualify, not adjudicated outcomes. Funding amounts are stage medians from tracked rounds, not verified per-company figures on every row: treat them as bands, and let your intake do what data cannot.
To keep this blueprint honest we ran a read-only feasibility probe before publishing: rounds aggregated across the full tracked bridge, then real founders sampled at the 1,000 freshest-round critical-tech companies. Every number below is measured, not modeled.
round medians $2.5M · $12.5M · $28.6M — measured on the 2025 bridge
| Stage | Rounds | Median round | Reading |
|---|---|---|---|
| Pre-seed | 5,270 | $0.5M | earliest founders — O-1 conversations start here |
| Seed | 8,333 | $2.5M | the volume tier: validated, funded, still small |
| Series A | 2,886 | $12.5M | institutional validation on the record |
| Series B | 1,317 | $28.6M | scale-stage founders and their leadership teams |
The tracked bridge held rounds through late 2025 at probe time — a monthly-refresh feed is how this cohort ships, and the refresh cadence is part of the contract.
Company size at raise: 1–10 employees — 2,282 · 11–50 — 2,635 · 51–200 — 859. Small teams, live visa questions.
Roughly 1.5 founder-titled people per funded company, split almost evenly between US-based (the EB-1A / NIW book) and offshore (the O-1A / E-2 / L-1 book) — the Cohort 01 archetype overlay applies out of the box. Probe gate was title-only; the shipped real-founder gate tightens it further at build time.
Blueprint means the first buyer sets the scope — fields, stages, monthly slice or 12-month backfill. A free 10-profile sample from the probed pool comes first.
A first delivery contains:
Each row is the complete data object — career, education, evidence, contacts, scoring. AI outreach agents can draft the first touch straight from these fields — referenced to each person's actual career, so the mail lands with a real person, not a template. See what one contact looks like, field by field →
Blueprint status works in your favor: the first build is scoped to your practice from day one — fields you file in, stages you care about, monthly slice or 12-month backfill. Datasets $0.19–0.42 per contact, flat fee; managed outreach and API delivery available.
Or just write — a consultation is free: we will map this cohort to your practice.
Outricher · Visa Talent Engine · blueprint · rounds tracked through 2025 · MEASURED · Outricher data