Building Trust in an AI-Powered World
BitMind is on a mission to make AI-generated content detectable and trustworthy. We're building the infrastructure that protects individuals and organizations from deepfake threats through cutting-edge detection technology.
The team
Ken Miyachi
Co-founder, CEO
Former Senior Tech Lead at NEAR Foundation and founder of LedgerSafe. Previously Amazon Engineer with deep expertise in blockchain infrastructure.
Dylan Uys
Co-founder, Head of AI
ML Engineer at ViaSat and Poshmark with extensive experience in computer vision and fraud detection systems.
Canh Trinh
Head of Engineering
Engineering Lead at Axelar with prior experience at JP Morgan and Deutsche Bank. Specializes in enterprise integration and distributed systems.
Bruce Lou
Head of Marketing
California Congressional District 11 Candidate, with a background in executive search. Jeoporady Champion. Social Media Marketing Expert.
Alexey Zenin
Blockchain Engineer
Founder of 2BeBuilt and former Gaming & BD at NEAR. PhD Candidate at Texas A&M specializing in distributed systems.
Andrey Gruzdev
Backend Engineer
Co-founder of 2BeBuilt and Software Engineer at NEAR with expertise in scalable backend systems.
Eli Lamb
Full Stack Engineer
Specializes in frontend development and design with a focus on creating exceptional user experiences.
Hem Gurung
AI Engineer
AI development specialist focused on building and optimizing machine learning models for detection systems.
Nas Mahmoud
Digital Marketing
Digital Marketing lead at DLX and Director at Jabari, driving growth through strategic campaigns.
Our Story
Protecting trust through technology.
Our team combines deep expertise in AI, blockchain technology, and enterprise software to build the most advanced AI fraud detection solutions. We're united by a shared vision of creating trustworthy AI that protects users and organizations from evolving threats.
From our founders' experience at companies like Amazon, NEAR Foundation, and ViaSat, to our engineers' work on cutting-edge AI and blockchain projects, we bring together the best minds in technology to solve one of the most critical challenges of our time.
Our Values
The principles that guide our work and shape our approach to AI fraud detection technology.
Technical Excellence
We maintain the highest standards in AI research and development, continuously pushing the boundaries of AI fraud detection technology.
User-Centric Design
Our solutions are built with users in mind, ensuring accessibility and ease of use across all platforms and use cases.
Transparency & Trust
We believe in open-source principles and transparent communication, building trust through verifiable results and clear documentation.
Continuous Innovation
Our GAN-style architecture ensures we stay ahead of evolving threats through continuous competition and improvement.