About Us // Research
Phizzog is a private research and incubation studio focused on privacy-preserving, superhuman intelligence.
We believe that the next era of computing will not be defined by how much data you give away, but by how much intelligence you can run locally.
Our lab exists to bridge the gap between theoretical AI research and applied enterprise utility. We build tools that act as extensions of the human mind—augmenting memory, reasoning, and creativity without compromising data sovereignty.
Our approach is multi-generational. We combine the structural discipline of veteran systems engineering with the aggressive innovation of modern machine learning.
Kenny Snyder IV (K4)
Technical Co-Founder & Lead Researcher
Leading Phizzog's experimental innovations, he translates academic breakthroughs in Machine Learning into deployable software. With a background in Computer Science and current graduate focus in AI, he oversees the "Vault" engine and rapid prototyping of incubation projects. He focuses on the edge—pushing what is possible with local LLMs and agentic workflows.
Ken Snyder III (K3)
Founding Partner & Strategic Architect
With over 25 years of experience in the technology sector, Ken Snyder III (K3) provides the architectural governance and strategic vision for the lab. He advises on long-term scalability, security protocols, and system integrity. His role is to ensure that Phizzog's experimental speed is grounded in industrial-grade stability.
We prioritize first-principles engineering, targeting the architectural breakthroughs necessary for private, superhuman intelligence.
Project Vault
AI-native memory and note-taking.
Local Intelligence
Quantization and optimization of models for non-server environments.
Human Performance Optimization
Intelligent systems designed to reduce cognitive load and accelerate the velocity of thought into action.
We are fully focused on our internal incubation pipeline and are not accepting external pitches or investment opportunities at this time.
If you are an engineer interested in the intersection of privacy and LLMs, you may follow our work on the Field Notes / Blog.