Transparency in how we build diaspora intelligence — every dataset, every signal, every method.
Sporafind aggregates diaspora intelligence exclusively from public, legally obtainable data sources. We do not purchase, scrape, or infer private data. Every profile in our system is reconstructed from signals that individuals and organisations have voluntarily made public.
Our AI cross-references 40+ distinct data sources — from business registries to academic databases — to build a coherent, de-duplicated, and confidence-scored profile. The result is intelligence that respects privacy while delivering precision.
Seven categories of signal intelligence that power every Sporafind profile.
LinkedIn public profiles, Xing, and professional association directories. We collect signal-level data only — job titles, industries, stated expertise — never private messages or non-public connections.
Companies House (UK), SEC EDGAR (US), Ghana Registrar General's Department, CAC (Nigeria), plus 20+ other business registries across Africa, Europe, and North America. Director names, company roles, and filing histories.
Crunchbase company profiles, PitchBook investor data, SEC filings (13D, 13G, Form 4), Bloomberg terminal feeds, and public market disclosures. Investment history, fund data, and institutional affiliations.
ORCID researcher profiles, Google Scholar publication records, university faculty directories, and ResearchGate. Academic affiliation, field of study, publication history, and institutional roles.
News media archives (global English, French, Portuguese, and Twi-language outlets), press release distribution networks, and public appointments registers. Media mentions, appointments, and public recognitions.
NGO directories (Guidestar, NGO Advisor), diaspora association listings, cultural organisation registries, and community foundation databases. Membership estimates, leadership rosters, and programme portfolios.
Census data from diaspora-hosting nations (UK, US, Canada, Germany, Netherlands, Italy, Spain, South Africa, Australia), diaspora migration statistics from national statistical offices, and World Bank remittance flow data. Geographic distribution, population estimates, migration trends, and remittance corridors.
Three layers of machine intelligence transform scattered public signals into structured, actionable diaspora profiles.
Sporafind is built on a strict data ethics framework. Some categories are permanently out of scope — and we maintain a public audit trail to verify this.
We believe transparency includes being precise about data age. Every profile card displays a "last verified" timestamp per source. Our platform-wide update cadence is documented below, and all changes are logged in our public changelog.
Every Sporafind profile links back to its original sources. Start exploring the diaspora with full transparency.