AI Discovery
Understand the requirement. Two weeks to a ranked shortlist — including the ones to drop.
Your AI partner
Your AI partner. From idea to scale.
AI solutions, infrastructure, security and managed technology — built and run by one team.
Building since 2016 · 5 countries · ISO-aligned delivery
How we work
One AI partner, not four vendors.
The same team at every stage, so nothing is lost between build and run.
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Discover
Problem and data.
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Design
Stack and budget.
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Build
Develop and test.
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Deploy
Cloud or on-prem.
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Manage
Monitor and fix.
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Scale
Capacity follows.
AI Technology
Start with the problem. End with the right technology.
Three steps that turn an idea into working software, without committing to a stack too early.
AI Blueprint
Architecture, technology, infrastructure and the year-two cost, in one signable document.
AI Development
POC, MVP, applications and integrations — inside your repository and your release process.
Most teams start with a discovery session. It sets scope before anything is built.
Book AI Discovery →Enter here
Four ways in.
Each one is a section of its own, not a paragraph on this page.
AI Partner
Discovery, Blueprint and Development — the route from a question to a working system.
Solutions
AI and software, infrastructure, security and data, managed IT. Twenty services, one team.
Stellar Cascade
Private cloud sized to your workload. Single tenant, in-country, one monthly figure.
Industries
Nine practices with their own constraints, their own proof and their own page.
Private cloud
Your private cloud. Built around your workload.
Dedicated capacity sized to what you run, with security and networking configured from day one.
Explore private cloud- High performance
- Enterprise security
- Fully managed
- Cost optimized
Built around your business.
Each sector has its own constraints. We start from yours.
Worked examples
How we have solved it before.
Four worked examples. The full write-up on each is one click away.
Built for real-world technology challenges.
Challenge, solution, outcome.
SaaS platform
- Challenge
- Inference costs were growing faster than revenue.
- Solution
- Moved model serving to a right-sized dedicated cluster on Stellar Cascade.
- Outcome
- Predictable monthly compute and faster responses.
Oil & Gas operator
- Challenge
- Decades of well data, and nobody could find Tuesday’s answer.
- Solution
- Indexed logs, P&IDs and daily reports, with inference at the asset when the link is down.
- Outcome
- Engineers get cited answers without waiting a week, and without data leaving the estate.
Manufacturer
- Challenge
- Quality checks were manual and slow.
- Solution
- Delivered a vision-model POC, then integrated it on the line.
- Outcome
- Inspection moved from sampling to every unit.
Knowledge
The DTARFORM knowledge hub.
Clear answers on building and running AI.
Blog
Field notes
Technology and business insights from the engineers on the work.
Guides
The long answers
Architecture, development and deployment, written for a buyer and their CFO.
Glossary
Plain English
48 terms — what it means, when it matters, what it costs to get wrong.
FAQ
Before you sign
How we work, what it costs, who owns the code.
The AI Blueprint Checklist
The 24 questions we work through before recommending a stack. Use it with any vendor.
What are you building?
Tell us, and an engineer replies within one working day.