Researching the mathematical infrastructure to govern the next generation of artificial intelligence.
Founded 2025 · Omaha, NE
See Our Research
Researching the mathematical infrastructure to govern the next generation of artificial intelligence.
Founded 2025 · Omaha, NE
See Our ResearchThe AI revolution is producing systems that are brilliant predictors but lack genuine understanding. We're researching the governance layer that was never included.
We're exploring how Lagrangian mechanics and geometric algebra could steer AI outputs — not through fine-tuning or prompting, but through mathematical governance embedded in the architecture itself.
Our vision: hardware-anchored trust, forensic validity, and verifiable data provenance. Security shouldn't be bolted on after the fact — it should be the foundation.
Exploring semantic compression and bandwidth-efficient protocols to bring AI capability to constrained environments — cellular, satellite, and air-gapped infrastructure.
Our first public research effort.
Geometric Alignment Through Orthogonal Reference
An early-stage research project exploring physics-informed governance to steer language model outputs toward safety, truth, and human-aligned outcomes — without modifying base model weights.
Critical Infrastructure Technologist · Principal Investigator
Joe is a Navy veteran and Electronics Technician who served aboard aircraft carriers as a Navigation Subject Matter Expert. During his service, he led his team through three deployments and directed a one-month navigation certification that achieved one of the best CVN NAVCERT ever conducted. He was awarded two Navy and Marine Corps Achievement Medals.
After the Navy, Joe spent four years in the private security sector as a Project Team Leader, designing and deploying integrated security systems for financial institutions across the Midwest. In 2021 he founded Omaha Security Solutions, where he operates as a strategic field partner delivering end-to-end security deployments for commercial, residential, state, and municipal infrastructure.
In early 2025, Joe founded Infinite Context Labs to pursue the research behind GATOR. His work bridges physical hardware and advanced AI — exploring physics-informed architectures, semantic compression engines, and forensic integrity frameworks aimed at future-proofing critical infrastructure. GATOR is the product of that research: a Lagrangian governance system that steers language model outputs toward safety and truth using the same navigational intuition that guided ships at sea.
Infinite Context Labs is a focused research effort. We are exploring the mathematical infrastructure needed to govern the next generation of artificial intelligence.
Site Reliability & High-Performance Inference
"Deliver silent energy through absolute systemic stability and zero-latency execution."
Orchestrate the vLLM V1 architecture across distributed multi-vendor GPU clusters. Your mandate is zero-friction performance, ensuring the system reliably hits strict SLOs like sub-150ms Time-to-First-Token.
Low-Level GPU Kernel & Compilation Engineering
"Build the seamless bridge between proprietary steering algorithms and bare-metal hardware."
Write and optimize custom Triton attention backends, utilizing persistent kernels and Q-block optimizations to maximize hardware cache reuse.
Representation Engineering & Applied Dynamical Systems
"Map and control the latent space using physics-informed artificial intelligence."
Map and control the latent geometry of large language models using proprietary physics-informed techniques to extract precise alignment directions.
Cryptography & Privacy-Preserving Machine Learning
"Guarantee mathematically provable data sovereignty and a zero-trust architecture."
Protect highly sensitive intellectual property and proprietary data. Architect Privacy-Preserving Federated Learning pipelines for elite enterprise clientele.