AI-first software engineering
Software that does the work, built to last.
Cadiahk designs, builds and integrates AI agents, automation and custom software for organisations that want AI to do measurable, useful work, engineered with the same discipline as any production system.
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- Founded
- 2020
- People on the team
- 5
- Engineering courses on Udemy
- 5
- Service areas
- 4
What we solve
Most of the opportunity is in work you already do every day.
AI is most useful when it is pointed at a specific, costly problem. These are the ones we see most often.
Repetitive work takes up your team's day
Reading documents, re-typing data, checking it and chasing approvals. It follows rules, so most of it can be automated.
Your systems don't talk to each other
Information is captured twice, exported to spreadsheets and copied by hand, and errors creep in along the way.
Your software is slow and risky to change
Older applications that nobody wants to touch make every new feature expensive and every release stressful.
You're unsure where AI fits
There is pressure to use AI, but no clear view of which use cases are worth the investment or how to run them safely.
Services
Four ways we help.
From a single automated workflow to a complete platform, each engagement starts with a clear, measurable goal.
- AutomateAI agents & intelligent automationAgents and automations that take on routine work, with people approving the decisions that matter.Learn more
- BuildAI-powered software engineeringCustom web applications, APIs and SaaS products, with intelligent features where they add value.Learn more
- ConnectIntegration & modernisationSystems that share data reliably, and older software made safe to change.Learn more
- AdviseAdvisory & enablementFind where AI pays off, then give your team the skills to run it.Learn more
How we work
Small, proven steps before big commitments.
You see a working result on your own data early, and decide what comes next with evidence rather than promises.
- Step 1
Discover
We map the process or system with you, agree what success looks like and choose a use case that can be measured.
- Step 2
Pilot
We build a small working version on your real data, so you see results before committing to a larger build.
- Step 3
Build
We engineer it for production, with automated tests, security, monitoring and documentation.
- Step 4
Run and improve
We hand over, train your team and keep improving the system as your needs change.
Why Cadiahk
AI-first, with engineering discipline.
We use AI throughout how we build, and we build AI into what we deliver. Both are held to the same standard.
- Engineering first
- AI features are held to the same standard as the rest of the system: clean architecture, automated tests and code review.
- People stay in control
- Agents act within limits you set, and decisions that matter go to a person for approval.
- Your data is protected
- We give systems access only to the data they need, keep it secure and design with POPIA in mind.
- Straight answers
- If a simpler solution without AI is the better choice, we'll tell you.
Academy
We teach what we practise.
Our 5 courses on Udemy cover the architecture behind production .NET systems: clean architecture, microservices, multi-tenant SaaS and API security.
Tell us about the work you want to change.
Describe the process, system or idea. We'll tell you plainly whether AI, automation or straightforward software is the right fit.