AI & Automation
We do not treat AI as a trend layer. We connect it to real processes and measure what it saves.
Workflow automation, document processing, AI assisted support, data enrichment and reporting automation, always built around processes you can point to.
Where data privacy matters, we run models locally or inside your own cloud perimeter instead of sending sensitive data to third party APIs.
What you get
- Process audit and automation map
- Document and data pipelines
- AI assistants grounded in your data
- Local or private model deployment
- Measured before and after metrics
How we approach it
- 01
Discover
We map the business goal, the users and the constraints before a single line of code.
- 02
Architect
We choose the simplest architecture that still holds at ten times the load, and write down why.
- 03
Build
Short sprints, a working build every week and a staging link you can click through yourself.
- 04
Run
Launch with monitoring, backups and a handover you can actually use. We stay reachable after go-live.
Related work
Teztamam
End to end modernisation of a survey exchange platform for researchers: new OTP login, a Python microservice and a rebuilt hosting stack.
- .NET 6
- Python
- Docker
- Google Cloud
Novarge
A fast application portal and lead dashboard that turns Instagram and Facebook ads into verified applications for Novarge's accredited data protection training.
- Next.js
- Clerk
- Neon Postgres
- Tailwind CSS
Other services
Have a system in mind?
Tell us what it needs to do. You will hear back from an engineer, not from a sales team.