Skip to content
A desktop monitor on a studio desk showing a private AI setup page, with a layered diagram connecting your data, models and infrastructure to the tools built on them.

Power yourself with private AI tailored to your needs.

AI customised to your specific needs, built just for you.

We build the environment, put your data underneath it, and leave every part of it in your hands.

How we help

We build private AI systems and then keep them running: open-weight models and frontier models as the requirement demands, your own knowledge and documents underneath, and infrastructure you control around all of it. Then we keep tuning it for cost, security and speed.

Private AI setup

Your AI, your data, your infrastructure, your rules

The models, the gateway they sit behind, the access rules around both, and a bill you can read by team.

Read the detail

The models, and the gateway they sit behind, all tailored to your specific rules.

Most environments use more than one. What makes it genuinely private is that it is customised to your requirements.

  • Company knowledge AIYour documents and systems joined into one governed layer, so every answer names where it came from.
  • AI workflow automationWe take a workflow you can name and rebuild it end to end, with the approval step kept where it belongs.
  • AI cost and model optimisationRouting that is measured rather than assumed, on quality, cost, speed, privacy and reliability.
  • Managed AI and continuous improvementMonitor, evaluate, find what is failing, improve it, test it, deploy it, measure again.

If you have a question about any of this, ask.

AI is getting more capable. So can you.

Frontier models are advancing rapidly in reasoning, multimodal understanding, tool use and complex task execution. Open-weight models are making increasingly capable intelligence more accessible, deployable and economical. Ales Analytics brings these capabilities together.

What is changing

  • Reasoning

    Models are moving beyond simple generation toward analysis, planning and multi-step problem solving.

  • Multimodal intelligence

    AI can increasingly work across text, documents, images, audio, video and structured data.

  • Open-weight models

    High performing models can now be deployed with greater control over where they run, how they are adapted and what they cost.

  • Tool use and agents

    Models are increasingly capable of interacting with software, data and tools to complete tasks rather than simply returning answers.

Your data

  • ERP
  • CRM
  • Documents
  • Databases
  • APIs
  • Cloud storage

Your AI infrastructure

  • Private cloud
  • Open-weight models
  • Frontier models
  • Model routing
  • Security

Your work

  • Knowledge
  • Automation
  • Analysis
  • Decision support
  • Applications
Continuous improvement
  • Evaluate
  • Optimise
  • Adapt
  • Deploy

Your data feeds infrastructure you control. That infrastructure does the work. What the work returns is measured, and the measurement decides what runs next.

From models to capability

AI becomes more valuable when intelligence is connected to the systems, information and work around it.

  • Think further

    Deploy increasingly capable reasoning models where deeper analysis is required.

  • Know more

    Connect AI to the information and context that matter.

  • Choose better

    Use the best model for each task rather than relying on one model for everything.

  • Improve continuously

    Evaluate, optimise and evolve the system as models, data and requirements change.

Start with a written view of where you stand

Tell us what you are running and what you are considering. You get our assessment in writing, and you keep it whatever you decide.