Technology
Build the system your work actually needs.
Software engineering and AI & machine learning are the core of Aorizon's technology practice. Every line of code is optimised. From architecture to production deployment, we build systems that hold up as the business scales.
What we work on
How a technology engagement runs
Requirements and constraints
Share the problem, the existing systems and the limits on data, budget and time.
Scope and milestones
We propose the architecture, the deliverables and a milestone plan. You see it before anything is built.
Build and review
Working software at each milestone, shared through your repositories and tools, reviewed with the people who will own it.
Deployment and handover
Production deployment, documentation and a handover your team can run without us.
Plans for technology work
Monthly partnership or fixed-scope project. Pause anytime; one test week, refunded if we don't deliver.
Core Engineering Sprint
- Up to 45 engineering hours
- One active task at a time
- Updates every 48 hours
- Unlimited iterations
Advanced AI & Research Lab
- Up to 70 engineering or research hours
- One active task at a time
- Updates every 48 hours
- Unlimited iterations
- Priority scheduling
Custom Enterprise Integration
- Fixed milestones and timeline
- Unlimited iterations within scope
- Institutional billing
- Documented handover
Common questions
Can we bring an existing system?
Yes. Describe its current state and the change you need, and we assess the scope before proposing anything.
Do you work with our engineers or replace them?
Either. Many engagements embed with an in-house team; others deliver a complete system with a handover at the end.
How is AI work evaluated?
Against performance criteria agreed at scoping, on your data. We do not promise outcomes a model has not yet demonstrated.
What stack do you use?
The one the problem needs. We propose it in the scope with the reasons, and we avoid lock-in to tools your team cannot maintain.