Intelligence
03 / 04 · In-house
Applied AI
We put language models and classical ML where they earn their keep: support, operations, document work, and product features with evaluation and human oversight. If a simpler system is enough, we say so.
In this practice
- Workflow automation and internal assistants
- LLM features inside existing products
- Data pipelines and analytics that operators trust
- Evaluation, logging, and fallback paths
