MOXXYLABS/AI Intelligence

AI Intelligence.
Expert models for your company.

We bring the method behind Kern to your company: an expert model for your domain, an exam that shows whether it works, and deployment on hardware you control. When a ready model or plain software fits better, we build that instead.

Discuss your project
01 / EXPERT MODELS

Private expert models

An expert module trained for your stack, your codebase or your domain, built on your side of the firewall. It runs on your devices or your servers, so sensitive code and data stay inside the company.

  • Modules for your stack and codebase
  • Training on your infrastructure
  • On-device and on-premise deployment
  • Answer, ask or decline behavior
02 / EVALUATION

Exams and validators

Before AI goes live, you should know how often it is right. We build exams from your real tasks with hidden tests, and connect validators that check every answer automatically.

  • Exams built from your real tasks
  • Hidden tests and automatic validators
  • Comparison of ready and custom models
  • Results reported with their uncertainty
03 / APPLIED AI

Applied AI and software

We build AI agents, connect models to the systems you already use and develop the software around them. We also review architecture and help plan how your team adopts AI.

  • AI agents and automation
  • Model and workflow integrations
  • Web applications and platforms
  • Architecture reviews and AI strategy

HOW WE WORK

From a question
to a measured answer.

  1. 01

    Understand

    We start with the task, the data and how a good answer can be checked.

  2. 02

    Measure

    We build an exam first and test the models already available against it.

  3. 03

    Build

    We choose the simplest thing that passes: a prompt, an expert module or software.

  4. 04

    Deploy

    We roll it out on infrastructure you control and keep measuring after launch.

GOOD QUESTIONS

Common questions.

Do we need our own model?

Often not. We first measure ready models on an exam built from your tasks. A custom expert makes sense when data cannot leave the company, cost per request matters, or ready models fail the exam.

Does our data leave the company?

It does not have to. Expert modules can be trained and run on your infrastructure. We agree how data is handled before we start.

Which domains fit an expert model?

Domains where an answer can be checked automatically: compilers and tests in software, balanced ledgers in accounting, schemas and rules in documents. The stronger the check, the better the model can learn.

LET’S TALK ABOUT AI

What should
your model know?

Tell us about your domain, your data and how a good answer can be checked. We’ll tell you whether an expert model, a ready model or plain software fits best.

Let’s talk