> ## Documentation Index
> Fetch the complete documentation index at: https://docs.askloyal.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Team
> Everything you wanted to know about the team behind Loyal.
We've been working together for the last 3 years on things we care a lot about.
We've built and scaled data-driven applications that handled terabytes of data every day.
We've seen the evil of surveillance capitalism and the power of centralized data collection and monetization.
If we continue down this path, we'll be heading for a grave future.
We want to fight for privacy and freedom.
That's why we're building Loyal.
***PS**: We're also great friends.*
*Eden and Chris have been best friends for the last 6 years.*
*Basil and Vasiliy have known each other since primary school. They've been friends for over 20 years!*
Colgate University undergrad, Applied Math and Computer Science.
3 publications on AI in peer-reviewed journals.
Turned down PhD route to move to San Francisco with the team and build Loyal.
Responsible for building the privacy-preserving inference engine for Loyal.
Physics MSc at 19.
He used to work with lasers and rockets.
Now he's the go-to person to onboard new users and make them fall in love with Loyal.
Deep academic background: computational neuroscience, physics, and network science (10+ peer-reviewed publications, including MIT Press).
On the team, Basil is responsible for benchmarking, observability, and model alignment to ensure the best possible user experience.
Philosophy and graph theory MSc. Built crypto vertical in one of the biggest PE funds in Europe.
Investor relations and the legal side of the venture.
Fluent in Chinese, responsible for Asian community outreach and partnerships.