AirDawg Labs
AI systems that hold up in the real world.
We evaluate models, investigate operational questions, and build the infrastructure behind dependable AI.
What we do
01
AI systems evaluation
Measuring what a model or an agent actually does under the conditions it will meet, against a rubric somebody can inspect.
02
Operational research
Turning an open question about a system into a study with a method, a dataset and a result that survives review.
03
Execution infrastructure
The durable records, review queues and audit trails that let a team run the same process twice and get the same answer.
How we work
Define, test, operate, improve.
Every engagement runs the same loop, and each turn of it leaves a record somebody can audit later.
Define
Agree the question, the scope and what would count as an answer.
Test
Run the study or the evaluation, and record how it was run.
Operate
Put the result into a process somebody uses on an ordinary day.
Improve
Measure it again, and change the process rather than the story.
About AirDawg Labs
Built around the work that makes AI dependable.
AI systems fail in operation for ordinary reasons: nobody agreed what good looked like, nobody wrote down what was tested, and nobody could reproduce the result a month later. We work on those reasons.
More about us