Build around the workload
Begin with real inputs, constraints, and a clear definition of quality.
Company
Learn how FoxQuan approaches enterprise AI harness engineering.
Work with usFoxQuan focuses on the infrastructure around AI: memory, tools, orchestration, data access, and execution. We design harnesses around enterprise requirements rather than asking users to solve every problem through a more complicated prompt.
Our aim is to make AI behavior easier to inspect, evaluate, and improve as workloads grow.
Begin with real inputs, constraints, and a clear definition of quality.
Keep responsibilities, state transitions, and evidence explicit.
Design permissions, human review, and recovery from the start.
THE PEOPLE BEHIND THE WORK
Team photography is being prepared. The images below are synthetic design placeholders, not FoxQuan employees.

Synthetic placeholder

Synthetic placeholder

Synthetic placeholder

Synthetic placeholder
LET’S WORK THROUGH IT
Start with your requirements, data, and definition of a good result.