We are at a turning point in the global identity crisis.
The World Bank estimates there are over 1 billion people without an official identity, leading to trafficking and exploitation and over 3.5 billion people globally are underbanked or unbanked, largely due to the inability of banks to adequately assess identity and credit riskiness.
Current efforts to manage compliance with regulations around personal identity are hamstrung by antiquated systems and models, leading to high costs and complexity; the cost of compliance for financial services is estimated by McKinsey at over $270 billion per year.
New technologies hold the promise of solving the global identity crisis. By combining novel research from MIT, The University of Oxford, and Imperial College London, Distilled Analytics has created a powerful identity tool: Predictive Identity.
Predictive Identity leverages technological innovations in biomechanical analysis and mobility trend analytics, building out patterns of our unique digital traces. This new kind of identity solution is dynamic, not static – providing continuous user authentication as opposed to static one time password checks. Our solution has the potential to achieve 99+% match rates.
Here at Distilled Analytics, we are helping to solve the global identity crisis with our predictive identity technology.
Our mission is to solve the global identity crisis through predictive analytics, improving AML/KYC and credit to drive digital and financial inclusion.
Meet The Team!
Our team has an in depth and diverse academic and work background.
Combined, these individuals and experiences create a purpose-driven and
creative environment to develop innovative new solutions.
Founder/Chief Executive Officer
Chief Analytics Officer
Head of Engineering
Alfie van der Zwan
Director of Operations
Board of Directors and Advisors
Our board and advisors are valuable assets to Distilled Analytics and
provide continuous feedback and insight, helping us achieve our mission.
John Joseph D’Agostino
Yves-Alexandre de Montjoye