BIXSO
Sign in

SLM · the specialist engine

One domain.
One model that can go deep.

A small language model is not a smaller promise. It is a model shaped for one business domain — its language, processes, data and decision rules — then used inside governed agentic AI.

See how it is developed ↓ Read the guide
Broad general model Business analysis
SLM
One domain · governed

What makes it specialist

Business first. Model last.

The model is only one layer of the solution. It earns its place after we understand the business and can state exactly what job it should do — and what it must never decide alone.

  1. 01

    Map the domain

    Start with the work itself: the people, process, data, rules and decisions that make one domain distinct.

  2. 02

    Make it specialist

    Use capable large models and high-quality domain examples to make a smaller model useful for one specific job.

  3. 03

    Put it under governance

    Give an agent clear boundaries, evidence requirements, evaluation criteria and human accountability before it acts.

Not every problem needs one

The honest answer can be:
do not build it.

An SLM is not the default answer to an AI brief. Choosing a general model, retrieval, or no AI at all can be the right business decision.

  • The task is genuinely broad or open-ended.
  • There is no clean domain data, and no responsible way to obtain it.
  • Rules change faster than the model can be evaluated and updated.
  • The volume is too low for a specialist model to be the sensible choice.

Developing in the open

Show the work.
Not the theatre.

SLM is a BIXSO capability in development, not a finished product claim. As evidence is ready, we will share the problem, evaluation criteria, what worked and what did not.

We will not publish customer data, private model weights, internal prompts or unverified results.

Questions

SLM, answered straight.

01What is an SLM?
An SLM is a small language model specialised for one domain. At BIXSO, it is grounded in the domain’s real processes, data and decision rules before it is used inside a governed agent.
02Is an SLM just a generic chatbot with a longer prompt?
No. Prompts can guide a general model, but they do not replace a domain model, curated examples, evaluation against a real job, or governance. The specialist work happens before the agent is allowed to act.
03Does every business need an SLM?
No. A general model or retrieval can be a better fit when the task is broad, the facts change rapidly, the data is not ready, or demand is low. The analysis should decide the architecture — not the hype.
04What does “developing in the open” mean?
BIXSO will share the business problem, evaluation criteria and verified learning as they are ready. We do not publish customer data, private model weights, internal prompts or unverified performance claims.

Start with the decision

Need to know whether a specialist model fits your business?

Start with the business analysis, not the GPU bill.

Book a free consult →