We effectively determine lending risk in applications with limited or no credit history

We serve countries with very limited or non-existent credit bureau utilization. In fact most of the world’s population does not have a FICO score.

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We have worked extensively throughout Latin America and Asia. We developed a unique mobile lending technology for use in the Philippines cash-based economy that could efficiently disburse loans in cash across a nation of 7,640 islands.

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This approach also makes us uniquely positioned to work with thin file and subprime populations. Our models have shown up to 50% of thin-file consumers will, with correct underwriting, mirror the performance of prime borrowers with overall defaults of 4%. This is the truly transformative effect of nonlinear machine learning underwriting models. A huge expansion of the playing field for lending.

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Our client Tua Financial provides loans to recent immigrants to Canada who have no credit files, First Nation Canadians who have thin credit files, and through TuaPay™ provide merchants with instant customer financing options at lower cost than credit cards with no merchant fees. We created a model specific to thin-file FICO™ unscored Canadians for Tua's utilization. We also developed a voice driven loan origination process for Tua which allows an entire loan to be originated via voice on a mobile device or agent. Tua utilizes AI for all aspects of its operation, resulting in an extremely lean organization.