At UTU we believe in a more human-friendly internet. We are pioneering digital models of trust built around human beings and how we naturally trust. UTU’s vision is to become the trust infrastructure of the entire internet, replacing anonymous star ratings, reviews, and scores as the de facto trust mechanisms of digital commerce. We do this in service of our mission to protect data and privacy as we help make the internet a safer, more trusted place to gather, share, work, and trade.
Watch our CEO, talk about tokenizing trust at Æternity Ventures Starfleet Demo Day in 2018.
Watch our CTO Dr. Bastian present UTU’s AI/ML architectures at the World AI Show in Nairobi, 2019.
UTU House, a shared space for the AI and Blockchain communities in Nairobi. #NairobiAI
This is to reward the trust-building behaviors rather than manipulation or abuse
We strive to give meaningful human-friendly personalized narrative and data points, not just opaque scores and aggregated ratings & reviews
We focus on the foundation of human trust, relationships, as our foundation as well.
Our protocol considers real world, real-time context factors connected through oracles to give our trust services situational awareness
Rather than bury privacy controls in settings, we are building UIs to empower users’ control of privacy as a core product feature and facilitate their ability to preserve privacy while earning from their data
Obsessed with trust. Led strategy, design, and development of large-scale donor projects across multiple sectors in more than 40 countries, helping secure more than $3B in funding opportunities.
12 years in the African private sector, including senior leadership roles in the technology, banking, and oil & gas sectors. Before joining UTU, he led two major mobility brands from 0 to profitability in Africa and managed annual budgets of up to $10M CAPEX and $100M OPEX.
PhD on distributed AI utilizing multi-agent systems. He previously built and deployed large-scale transportation systems throughout Europe and the Middle East for a leading German transportation software company.
PhD in High Energy Nuclear Physics, Stony Brook. 10+ years’ experience applying AI/ML techniques, including on the largest particle collision datasets in the world.
Brings his expertise as a Linux guru and software engineer with strong mathematical and machine learning skills, in the fields of natural language processing and image recognition.
CPA, CFA level 2, and brings experience from PWC and Morgan Stanley in London and previously served as CFO of a Nairobi-based Fintech.
