LLMs and compact models sized to the job.
We use frontier models where they earn their keep — and compact, task-specific language models where volume and control demand it.
How does an AI solution actually operate?
Specialize, prove, then serve
LLMs earn a place in the workflow only after the task is bounded and the baseline comparison is honest.
Compact when the job is narrow
Frontier stays where it earns the cost.
Feedback after deploy
Data loops tighten the next release.
How we use AI & LLMs
Why we chose it
Where it fits
When we recommend it
Related Solutions
Related Insights
Talk through the workload
Share the problem, the constraints, and what good looks like. We will be direct about fit.

