Four practices, one operator.
Blue Camel Consulting runs four practices under one operator, thirty years into the same underlying discipline: find out what actually happened, prove it with a number a skeptic can check, and leave behind a system your own team runs. If you already have AI in production, the measurement layer underneath it is the first three.
Each practice below has its own page: what it covers, the shape of a typical engagement, and the published work or live demo behind it.
The four practices
Designing the model that grades your model, then calibrating it until the score means something. How you show that a system already in production does what you claim, with error bars a reviewer can check.
Data Science & ExperimentationMeasurement you can defend, and experiments that answer the question you actually asked. That covers audits of what is really in a corpus, subgroup analysis on difficult text, and the analytics behind a marketplace or a launch.
Custom Build & DeliveryWorking systems, built and handed over: pipelines, scorers and decision tools that your own people run once we have left.
Mission-Driven SystemsEngineering for the rooms the market skips, across energy, nonprofit and accessibility work that ships fast and is built to last.
Start a conversation
A problem that fits one of these is enough to start the conversation. Write to [email protected] with two or three sentences on what you are facing. If it is a fit, the reply usually includes a first artifact, not a meeting request.
Email Blue Camel Open the drift monitor demo
The drift monitor runs in a browser on synthetic data, with no signup. It is the shape of thing an engagement hands over.
See it in practice: Case studies Published tools