About O(1) Ops

A volumetric technology company building practical, high-performance solutions for industries that depend on complex 3D data.

The company

O(1) Ops LLC develops volumetric processing and visualization infrastructure — purpose-built systems for working with raw, multi-dimensional datasets at interactive speeds on consumer-grade hardware. Our patent-pending surface extraction technology is currently implemented as a standalone Vulkan-based system, with plans to expand into plugins and integrations for existing platforms.

We're starting where the need is most acute: medical imaging. Hospitals, imaging clinics, and educational institutions work with volumetric data every day, but the tools available to them are slow, expensive, and dependent on heavily pre-processed data. We're building infrastructure that eliminates these bottlenecks — giving clinicians and researchers real-time access to their data without specialized hardware or lengthy preprocessing pipelines.

Our direction

We're focused on solving real-world problems first. By partnering with hospitals, imaging clinics, and educational institutions, we're targeting acute pain points in the medical community — where faster, more accessible volumetric visualization can have immediate impact. From there, we'll expand into scientific visualization, research, engineering, and entertainment, applying the same core infrastructure to new domains.

Our approach

Deep technical research meets practical software development. We build from the ground up when existing tools fall short, focusing on performance at every layer of the stack — from GPU-accelerated algorithms and custom data structures to the mathematical frameworks underpinning real-time volumetric computation. Every technical decision is driven by the goal of delivering production-ready software that works for real users on real hardware.

The founder
Founder photo
Tavis Sotirin-Miller
Founder & Lead Developer

I bring a unique combination of academic rigor, professional research experience, and deep technical expertise to every project. My Master's in Computer Science from DePaul University focused on performance optimization and low-level C++ development, built upon a Mathematics degree from Michigan Technological University.

Foundation & Teaching

Nearly a decade in academia

Through years of teaching and mentoring, I developed a comprehensive understanding of the core pillars of mathematics and computer science. My coursework and instruction covered the full spectrum — from linear algebra and differential equations to graph theory and discrete mathematics, from algorithm analysis and computational complexity to compiler design and operating systems. This includes database systems, network architecture, concurrent programming, and the mathematical frameworks underlying image processing and AI. Teaching these concepts to others solidified my ability to approach complex problems from multiple angles.

Research Contributions

Institutional & independent work

My research portfolio spans both institutional and independent work. Under ERDC's Cold Regions Research and Engineering Laboratory, I developed autonomous vehicle sensor processing systems, created 3D physical and visual simulations for extreme environments, and built AI models for prediction and analysis in mission-critical applications. Beyond institutional work, my personal research has explored soft-body dynamics and physics simulation, where I've developed custom compute shaders and novel GPU-accelerated algorithms for real-time deformation and collision detection.

Performance & Optimization

Maximum performance from modern hardware

I specialize in real-time systems that demand microsecond-level optimizations, writing hand-tuned SIMD instructions and cache-aware algorithms. My graphics work spans from low-level Vulkan API programming to high-level architecture. Whether optimizing data structures for GPU coherency, implementing lock-free concurrent systems, or designing memory management strategies for massive datasets, I approach each challenge with a deep understanding of hardware limitations and possibilities.

Reshaping volumetric technologies