We are a data-and-AI team with our own AI search engine over 5.6 billion dated career positions — one of the world's most complete bases of people and companies. Point it at your routes and it returns the exact people structurally likely to need a visa: ranked, evidence-tagged, with verified contacts — phones, socials and personal emails included. Already proven on live visa cohorts with practices that keep coming back for more.
Describe the case in one sentence — the engine finds anyone on the career graph, on queries of any complexity. Structure, not keywords.
Every contact carries the whole career plus personal emails, phones and social profiles — 130+ fields. Verified-or-empty, never guessed.
Not a raw list — a ranked, evidence-scored slice with the funnel and route logic attached. A ready file with contacts in hours.
prepared 2026-07-22 · MEASURED · Outricher data
The engine's real power for a visa practice is precision on your specific case. Tell us the profile of a client who converts and we extract exactly that cohort from the graph — not a bought list, a computed one. A few of the strongest we can build:
People who moved recently and, by career stage, are just entering visa-eligible territory: a fresh senior title, a first US-facing role, a degree or award that unlocks O-1A / EB-1A / NIW. The career graph is dated, so we catch this the moment it happens — while they're actively deciding, before they've searched for a lawyer.
Startup founders and early operators at freshly-funded companies — prime O-1A / EB-1A / E-2 candidates. We join funding signals to the career graph, so the round and the person line up.
Specialists whose current path — H-1B lottery loss, OPT/STEM clock running out, employer-tied status — makes an alternative route urgent now. Timing you can act on.
People carrying the exact evidence extraordinary-ability routes need — awards, patents, publications, press — surfaced from enriched profiles and tagged as petition assets.
Many times below the usual list-and-enrichment stack — and our rows already carry phones, socials and personal-email enrichment built in.
Already running · not a pilot
Live visa cohorts and managed outreach are already running for immigration practices. On a demo call we walk through real campaigns — the reply and conversion numbers we don't publish on a page — and scope what fits your routes.
A ranked cohort under your routes. Free 10-profile sample first — judge rows, not a pitch.
We run outreach end to end — AI-personalised, human-approved. You get the replies.
The engine inside your intake — qualify inbound, pre-evidence every consult.
You describe the client you want; we translate it into a precise query over the graph, hand you the people — or run the outreach for you. The edge is in how we search: combining signals that mean nothing alone, filtering by what's absent, and reading the whole career, not a job title.
"Relocated in the last year and just stepped into a senior US-facing role and holds a degree or award" — the buying moment sits at the intersection of three independent signals. List vendors store these as separate tables and can't join them.
target: people where: relocation_recency < 12 months current_title_step_up: true route_evidence: [degree | award | pub] us_facing_employer: true → a tight, timing-ready visa cohort
"People who qualify but show no sign of an existing visa filing or attorney." Off-the-shelf tools filter by presence. We filter by absence — the un-worked pool, not the picked-over one.
target: people where: route_score: high prior_filing_signal: NOT present represented_by_counsel: NOT present → candidates nobody has called yet
"Ex-FAANG, now founding a startup", "US PhD, now working abroad", "moved from a cap-subject employer to one that isn't". These are career-trajectory queries — a JOIN across billions of dated positions that only a graph like ours can answer. It's exactly how the strongest visa signals are found: not by a current title, but by the shape of a career over time.
Then, your choice. Take the ranked file with 130+ fields and verified contacts — email, phone, socials.
Or we run it. AI writes a first touch from each person's own evidence, human-approved; replies land in your inbox.
Or embed it. The same engine inside your intake — qualify and pre-evidence every inbound consult via API.
Every cohort ships scored and pre-segmented for your routes, with the full funnel and a plain-English README of what we measured and what we couldn't. You start at outreach, not research.
Not sure which signal fits your practice? That's the demo call — bring one client profile that converts and we'll design the query live. Book a 30-min demo →
Real cohorts, already built and delivered — execution, not a concept deck. Every card explains why these people are likely clients and links to the full analysis behind it.
for O-1A · E-2 · L-1 · EB-1A · NIW practices
1,918 ready-to-contact founders — a verified email on every single row.
Why they're clients: a founder living outside the US whose operating company is registered inside it has a visa problem by construction — a problem today, not someday. Three measured archetypes, no keywords needed.
Exhibit · delivery funnel
Only the top 14% of the qualified pool ships — ranked by intent-signal strength, so your team works the strongest cases first.
for EB-1A · NIW self-petition practices
2,788 people already carrying petition evidence — and no lawyer has reached them first.
Why they're clients: their profiles already carry the evidence an attorney argues — awards, patents, publications — but they've never spoken to a lawyer. 73.3% sit inside 10K+ employers, invisible to intent-based tools.
Exhibit · delivery funnel
for employment-visa & O-1 practices, recruiting-adjacent firms
A refreshing feed, not a one-off list — new batches on a schedule, each deduplicated against the last.
Why they're clients: US-based AI/ML talent whose degree geography marks them as the employment-visa demographic — a filter no recruiting tool has. 43.7% changed roles within 18 months: the moment visa questions surface.
Exhibit · delivery funnel
for O-1 · EB-1A practices selling the next step
Why they're clients: they already crossed a border once for their career — and their experience or evidence has just crossed a qualification threshold. Mobility is proven; timing is now.
for employment-visa & adjustment practices
Why they're clients: their employment just ended and their status runs on a calendar — the one cohort where urgency is structural, measured from open-to-work flags crossed with employer history.
for NIW · O-1 practices with a venture clientele
Why they're clients: a closed funding round is third-party validation an adjudicator understands — and it just happened. AI, semiconductors, quantum, biotech: fields where national-interest framing is strongest.
for any practice with 200+ past clients in a spreadsheet
We resolve your client list against the graph, profile what your converted clients have in common — seniority, field, geography, career shape — and deliver a ranked pool of people who look exactly like them. Personalized analytics on your own base, then a pipeline built from it. Precedent: a European health-products brand sent two CRM exports; we resolved 4,300+ records to full profiles, surfaced 89 hidden partners, and built a 10,000-profile lookalike pool.
Don’t want to run the outreach yourself? Any cohort plugs straight into automated, AI-personalised outreach — first touches written from the row’s own evidence, human-approved, replies landing in your inbox. See the lead-gen flow ↓
At a glance — which cohort feeds which route your practice files:
| Cohort | O-1A | EB-1A | NIW | E-2 / L-1 | Employment | Status |
|---|---|---|---|---|---|---|
| 01Founders · US-visa intent | Shipped | |||||
| 02EB-1A / NIW evidence | — | — | Shipped | |||
| 03AI/ML · foreign education | — | — | Recurring | |||
| 04Proven movers | — | — | Blueprint | |||
| 05Status-cliff · 60-day clock | — | — | — | — | Blueprint | |
| 06Funded founders · critical tech | — | — | Blueprint | |||
| 07Your clients, decoded | follows your practice — the lookalike pool inherits your converted clients' routes | Service | ||||
The research behind the engine · read the method itself
How we map all 8 USCIS “extraordinary ability” criteria onto live data signals and score every person against them — 239,221 visa-intent relocators and 20,657 attorney-ready Tier A+B candidates, measured live on the graph.
Read the research → Method appendix Signal Expansion — from one filter to a targeting engineWhat happens after your first brief: we add the intent axis the request is missing, re-score the way USCIS actually adjudicates each route, add negative search — and one request becomes a client-finding machine.
Read the appendix →What a row actually is
Every row in every cohort is the same deep object: identity, dated career history, education with degree geography, evidence assets, verified contacts, and per-route scoring. Not a name-and-email pair — a case file.
Every figure below traces to a delivery artifact or a measured run — click through to the analytics behind each.
Don't want to build outbound muscle? We set it up and run it for you: precision extractions, plus AI agents that write first touches grounded in each person's actual data — on the professional network where your future clients already are, and by email. You receive conversations, not a CSV.
How the managed pipeline works
Your routes, geographies and what a converted client looks like. Two sentences is enough to start.
The engine pulls your exact cohort from the career graph — ranked, evidence-tagged, deduplicated, contacts verified-or-empty.
Every contact arrives with 130+ measured fields: role, trajectory, education arc, evidence assets, what changed recently.
An agent turns the dossier into a message referencing the actual person — their company, their round, their paper. A human approves every send.
Sequencing, follow-ups and logging run on our side. Your team picks up live conversations — and files the cases.
Anatomy of a first touch
founder · runs a ⟨US-incorporated⟩ company from ⟨country⟩
funding event · seed round closed ⟨4 months ago⟩
evidence asset · first-author publication, press coverage tagged
fresh change · became CEO ⟨2 months ago⟩
Hi ⟨first name⟩ — congrats on the seed round2 and the new CEO chapter4. Running a US entity from ⟨country⟩1 usually means the O-1A question is closer than it looks — and with your ⟨journal⟩ paper3, part of the evidence file already exists. Worth a 20-minute look?
Illustrative draft on masked fields. In a live campaign every referenced fact comes from the person's row, nothing is invented, and no message promises a visa outcome — the same honesty discipline as the datasets.
Cohorts scored for O-1A, EB-1A, NIW, E-2/L-1 and employment routes — route, score, evidence tags, verified contacts, 129–137 fields per row. Your team starts at outreach, not research.
Send us your client list — we show who your best clients actually are and build a ranked lookalike pool. Your CRM becomes a targeting model.
No SDR team? We run the campaigns and hand you the replies — AI-personalised from each row's own evidence, human-approved. You receive conversations, not a CSV.
The engine inside your intake: qualify inbound, pre-evidence consults, monitor cohorts for change. Plain request in — ranked JSON out.
The honesty boundary
We deliver ranked propensity and intent, evidence-tagged — for an attorney to qualify. Signals indicate that evidence may exist; they are not adjudicated outcomes, and no dataset ever claims a person "qualifies" for a visa. Engagements are flat-fee. That discipline is why practices keep reordering.
Twelve more designs, each verified against the graph's real tables — a query, not a guess. Any of them becomes a scoped first run with a free 10-profile sample.
Managers with 1+ year at the same corporate family across two countries. Still abroad — L-1 transfer prospects; in the US 12–36 months — the EB-1C conversion window is open now.
Two or more recorded promotions inside ~5 years, leadership unusually early relative to graduation. The "sustained acclaim" narrative every 10-year-tenure gate misses.
Return-diaspora now leading teams at home — with a physically-US chapter or US degree already on record. The evidence stack is pre-built; agencies simply never look outward.
US master's or PhD on a foreign undergrad — now living abroad. The exact inverse of our shipped F2 gate; one build sells to US, Canadian and UK practices simultaneously.
Foreign-medical-graduate physicians in US residency, final year computable from start year and specialty length. Thirty waiver slots per state open October 1 and exhaust in weeks.
US degree completed 1–3 years ago on a foreign-origin arc, currently working in the US — work-authorization expiry is calendar arithmetic. A class-year subscription, refreshed each spring.
High-impact open-source maintainers measured from the code graph — stars, sustained activity, org memberships. The one evidence class that cannot be résumé-inflated.
Foreign-educated staff inside sponsor-heavy employers whose headcount is measurably shrinking — reached before individual role-end signals fire, while competitors wait for the news.
Long-tenure seniors and founders at freshly-acquired companies — equity just turned into exactly the capital an investor filing needs. Backlog-nationality slice included.
Employers whose recent hiring skews foreign-educated while postings stay high — petition volume follows. Each row carries the named in-house recruiter. One logo = years of filings.
Foreign companies opening their first American roles — the moment a company needs an immigration strategy it doesn't have. The corporate mirror of our founder cohort.
Senior expats and free-zone founders already resident in the UAE on employer-tied status — including the measured wave of 17,621 recent relocators now in-country. Status anxiety converts fast.
Five more designs sit on the bench behind these twelve. Every card above names its route and its detection logic because each was checked against the graph's real tables — full research notes available on request.
And if your ideal client is none of the above
Describe the client you want in plain words — "partners at mid-size funds who studied in Europe", "healthcare founders who moved twice" — and we translate it into structural queries against the graph: career shapes, education arcs, employer graphs, funding events. If it is observable in a career history, it is buildable. The free 10-profile sample applies to custom briefs too.
Brief a custom cohort →Send your current client list — a spreadsheet is enough. We enrich every record to the full data object, show you what your converted clients have in common, and build a ranked pool of people with the same career shape. Your own base becomes the targeting model — the highest-precision brief that exists. How the decode works →
Send us your base →The short version — each write-up carries the full logic, and the methodology studies are public.
Naive keyword matching for visa terms is ~92% false positives ("O-1" matches "0-to-1 product"; "visa sponsorship" matches employers offering it). Structural archetypes — who the person is, where their company sits, where their degrees are from — carry the signal. Keywords only re-rank.
Award, patent, publication, judging and distinguished-role signals are extracted per profile and attached as tags. On the shipped EB-1A cohort: awards on 22.1%, publications 13.2%, patents 8.5% of qualified profiles.
O-1 needs a US petitioner; EB-1A and NIW are self-petitioned. The same signal flips meaning per route, so a single additive score mis-ranks two of three visa types. We route first, score second.
Three independent signals ≈ 1.5× precision, four ≈ 2×, five+ ≈ 3× — validated across repeated runs. Sparse evidence (patents, awards) never filters; it boosts profiles already selected by dense structural signals.
Where the data comes from — and why it can be trusted
What the data cannot see — said plainly
Citizenship and current visa status, citation counts, patent grants vs filings, press coverage about a person, real salaries, ownership stakes. Anything we cannot observe is absent from the row, not inferred — and your intake questions cover the gap.
Method depth is public: the criteria-to-signal mapping study and the route-aware scoring analysis — plus the whole visa research hub.
From first email to first delivery — the same four steps every engagement follows:
Routes you file, geographies, what a converted client looks like. Email or Telegram is enough — or take a 30-minute demo call and we map the cohorts to your case live.
Ten qualified profiles matched to your practice, with evidence tags and masked contacts. You judge rows, not a pitch.
A ranked cohort of 1,000–3,000 rows, machine-checked against the delivery spec, with the full funnel attached.
Dataset, managed outreach or API — your choice. Re-runs are deduplicated against everything previously delivered to you.
$0.09–0.36 / contact
Ranked cohorts of 1,000–3,000, deduplicated against everything previously delivered to you. Price scales with depth, evidence density and exclusivity. Every delivery passes a machine-checked quality spec.
flat fee / campaign
We run sequenced outreach on the cohorts we build and hand you the conversations. For practices without their own outbound infrastructure — the pipeline is already proven on recurring clients.
usage-based
Enrichment and search integrated into your intake and CRM: qualify inbound automatically, pre-evidence consults, monitor saved cohorts for change triggers.
retainer
Brief once — receive scored, deduplicated deliveries on a schedule, with funnels and audit artifacts attached. The same system that ships our recurring clients' batches, pointed at your practice.
The arithmetic, not a promise: a full 1,000-row cohort starts at $90 flat — no revenue share, deduplicated against every prior delivery.
The data comes from licensed data partners aggregating professional information from open channels — no scraping on our side, no terms-of-service violations. Standard due-diligence applies: GDPR/CCPA-aligned processing and DPAs on request. Engagements are flat-fee — never revenue-share or per-referral, consistent with professional-conduct rules on fee arrangements.
A ranked table (XLSX / CSV / JSONL — your choice) of 1,000–3,000 rows with 130+ fields per contact, grouped as: identity & current role, company & registry geography, education & degree geography, evidence tags, per-route scores, and verified contacts. Attached: the full funnel artifact (scanned → qualified → shipped, with named drop reasons) and a README that documents every limitation of the data — what we measured and what we cannot see. The complete field-by-field object is public: one contact, every field.
For business audiences, yes — managed outreach is a service tier. For volume campaigns to individuals in consent-jurisdictions we deliver the cohort as an ad-audience seed (matched into your ad platform) plus a shortlist for pinpoint, personalised first touches — the compliant shape of the same idea.
No — and be wary of anyone who does. We deliver ranked propensity with evidence tags; qualification is your professional judgment. What we guarantee is measurable: funnel transparency, verified-or-empty contacts, and audited delivery specs.
Describe your practice — routes, geographies, ideal client — and we send 10 qualified profiles free, matched to that description, within days. You judge the rows, not a pitch.
Thirty minutes, no pitch deck: the engine on a live screen, your routes against the cohorts, and the live campaign numbers we don't publish here. Prefer email? Two sentences about your practice gets you a free 10-profile sample and a scoped proposal.
Outricher · outricher.com · the research library · every number on this page traces to a measured delivery artifact