AI offering
Small Language Models
Use compact models for focused, efficient business tasks.
Who it is for
Teams with narrow, repeatable tasks such as classification, extraction, routing, templated drafting, or constrained question answering.
What we do
We define the task and evaluation set, shortlist models, benchmark quality and speed, design retrieval or structured outputs, and add fallback and review rules.
How it works
Representative examples are scored before deployment. The smallest model that reliably meets the acceptance threshold is preferred.
Proof and process
We record model version, license, test set, accuracy or task score, latency, cost, failure modes, and escalation behavior so upgrades can be compared.
Frequently asked questions
Are small models less capable? Generally, but focused evaluation matters more than size. Can they run locally? Many can, depending on hardware and workload.
Ready for a practical growth plan?
Tell us what growth looks like for your business. We will recommend a focused first step, not a bloated channel list.
