
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.
- 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.
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
- 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.
Every figure we publish carries its source
All research- Report 01Why enterprise AI adoption is failingSix research houses, six methods, one answer: what stops these projects is the data and the way the work is run, not the model.Read the report
- Report 02The enterprise data foundation layer for AISearching your documents should be one thing the system can do, not the only thing it knows how to do.Read the report
- Report 03The scaling cliffA pilot is a different system from production, and the sums change with it.Read the report
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.