We design software systems where humans make the critical decisions and AI accelerates the execution. Based in Tucson, Arizona, we partner with local and remote teams to turn complex technical challenges into practical systems. We focus on architecture, tradeoff analysis, and the engineering judgment that separates production-grade systems from prototypes — choosing the right abstractions, defining clear boundaries, and ensuring every technical choice is grounded in your business reality.

• Our Engineers Work Directly With You

  We are a hands-on team, and every engineer owns their projects from first conversation through delivery. You work directly with the people designing, building, and refining the system, so decisions stay close to the work and nothing gets lost between strategy and execution.

• AI Experimentation & Tooling

  We help teams move from curiosity to capability with practical AI experiments, custom internal tools, and evaluation loops that make automation measurable. Whether you are testing agentic workflows, building prompt-driven prototypes, or connecting AI systems to your existing data and operations.

• Code Repository Harnesses

  We build harnesses that give AI agents safe, structured access to your codebase — wiring up the tooling, guardrails, and evaluation loops that let agents read, modify, and validate code against your repositories with confidence. This turns one-off prompts into repeatable, reviewable workflows that fit into your existing development process.

• AI Paper Implementation

  We translate cutting-edge research into working code — reproducing the methods from AI papers, validating their claims against your own data, and adapting promising techniques into production-ready components. This bridges the gap between the latest research and practical systems you can actually deploy.

• Local AI On-Site Deployments

  We deploy and configure AI models that run entirely on your own hardware — keeping sensitive data in-house and removing reliance on third-party APIs. From selecting the right open-weight models to provisioning the infrastructure and tuning performance, we set up self-hosted AI that meets your privacy, latency, and cost requirements.

• We Still Write Code

  AI accelerates our work, but it does not replace the engineering judgment behind it. We do both — pairing hands-on, production-grade software development with decades of experience designing, building, and shipping real systems. That depth is what lets us know when to lean on automation and when a problem demands a human at the keyboard.

• High-Level Engineering

  Some problems are too complex, too interconnected, or too consequential for AI to handle on its own. We take on the hard engineering — distributed systems, intricate domain logic, performance-critical paths, and architectures with far-reaching tradeoffs — where deep expertise and careful reasoning are the only things that get it right. This is the work that AI can assist, but cannot own.