Software · Data · AI
Build systems that stay understandable.
We help engineering teams build reliable software, data platforms and AI systems. Simple enough to operate. Solid enough to last.
01 / Expertise
Engineering for the real world.
Architecture, infrastructure and product are parts of the same system. We make trade-offs explicit and build solutions teams can actually operate.
Data Platforms
Cloud-native foundations that make data useful, trustworthy and ready to scale.
- Lakehouse
- Distributed pipelines
- Migration
- Governance
AI Systems
AI systems designed for production constraints—not proof-of-concept theatre.
- RAG
- Agents
- Computer vision
- Inference
Platform Engineering
Infrastructure and tooling that let engineering teams move safely and independently.
- Cloud
- Terraform
- Kubernetes
- CI/CD
Technical Strategy
Clear technical decisions grounded in business context and operational reality.
- Architecture
- Modernisation
- Scaling
- Leadership
02 / How we work
Solve the right problem first.
Code starts after the outcome, constraints and definition of success are clear.
Understand
We begin with the business problem, constraints and the people who will run the system.
Design
We choose the simplest architecture that meets today’s needs without limiting tomorrow.
Deliver
We build alongside your team, transfer knowledge and leave systems better than we found them.
03 / Principles
A considered way of building.
Technology should reduce complexity.
Reliability is a feature.
Simple systems age better than clever systems.
Systems should remain understandable.
Every technical decision is a business decision.
04 / Experience
Experience earned in systems that matter.
Work spanning regulated banking, high-volume logistics, e-commerce and ad-tech—across Azure, AWS and the modern JVM ecosystem.
Industries
- Banking
- Logistics
- E-commerce
- Ad-tech
Systems
- Cloud platforms
- Distributed systems
- Data engineering
- Modern JVM
05 / Founder
Built on engineering judgement.
r.sft is built on a simple premise: serious technical work requires clear thinking, honest trade-offs and people who stay close to the outcome.
Start a conversation
Working through a complex technical problem?
Tell us about it. We’ll respond with a useful point of view—no sales script.
Let’s talk