Who we are
An intrepid team of experienced developers, researchers and business leaders.
Last updated
An intrepid team of experienced developers, researchers and business leaders.
Last updated
We're a diverse group of tech-obsessed people that has been working at the intersection of blockchain and AI since long before your grandma had a ChatGPT account. Founded by industry veterans from Google and Apple, we believe that these two technologies can help each other tremendously, which in turn, will help the rest of us.
Deep3 Labs is guided by a few simple, but important core beliefs. Not long ago in Web3, many of these beliefs were often seen as futuristic or even eccentric. But over time we've seen them become increasingly normalized, which let's us know that we're on the right track.
In order to attract the "next billion users", blockchain developers must learn how to create the same ultra-rich, highly-personalized user experiences that today's internet users have come to expect. Facebook would be a chat forum from the mid-90s and Google would be the "online yellow pages" without their use of machine learning. Algorithms, specifically machine learning and artificial intelligence are single-handedly responsible for creating the kinds of user experiences that have brought billions of people online...and kept us there.
In order to not "end human civilization as we know it", AI engineers must explore new governance and development systems that ensure AI is always working for us, and never the other way around. Right now, a very small number of people, generally executives and engineering leaders, enjoy a monopoly on all decision-making power over how AI/ML is used in the apps we love. What's more, there's no clear pathway for us to even see the decisions they make in the development and deployment process. Perhaps for the first-time ever, blockchain technology offers solutions to these problems that are both practical and scalable.
It's no secret that even the most advanced blockchains and the dapps that have been built on them aren't capable of attracting mainstream users. They can be slow, difficult to interact with, and worst of all, contemporary Web3 user experiences are monolithic â they behave exactly the same for every user that connects. Algorithms can be used to solve all of these problems, and research is already underway to prove just that. AI can be used to optimize how loads are balanced when transaction volume spikes. It's capable of abstracting convoluted aspects of constructing contract calls and transactions such that users can simply describe their intent in plain english. And, as evidenced by the work we're doing at Deep3 Labs, they can be used to create user experiences that are tailored to the unique preferences held by each of us when we connect our wallet to a dapp.
