Productionization
Turn a notebook, proof of concept, or manual workflow into a deployed system with clear interfaces and ownership.
We build the delivery, evaluation, monitoring, and data foundations that let useful AI systems work in production.
Turn a notebook, proof of concept, or manual workflow into a deployed system with clear interfaces and ownership.
Connect language-model workflows to the right sources, controls, and evaluation paths for the intended use.
Design for changing data, quality issues, cost awareness, and the practical work of keeping systems useful.
AI depends on the reliability of the data and business definitions underneath it. We assess the operational system around the model, not just the model itself.
Related work: data engineering, analytics and BI, and custom software.