Mission
Build systems that handle complex data and complex logic correctly, at scale, for as long as the business needs them.
How we think about data
Every syllable of a dataset matters. A rounded value, a dropped character or a silent default becomes a wrong decision downstream. We validate in layers, reconcile across systems and keep an audit trail, so you can trust what comes out.
Precision
Exact beats approximate. We treat details as the work.
Candor
Plain answers about risk, scope and what will not work.
Durability
Systems built to run for years, not to demo well.
Respect for what exists
Your current systems carry knowledge. We build around it.
Where we solve problems.
Healthcare
Patient and provider platforms, lab and clinical data, with the rigour regulated work requires.
Technology
Data platforms and automation for product companies that outgrew their first architecture.
E-commerce
Catalogue, order and fulfilment data kept consistent across channels and systems.
Any data-heavy sector
Logistics, finance, operations and beyond. If your business runs on complex data and rules, the same engineering applies.
Capabilities
- Enterprise platform development
- Data and validation engineering
- Workflow and process automation
- System integration and APIs
- Legacy modernisation
- Cloud architecture on AWS
Some systems have to be right.
Since 2008, we have built systems for people who cannot afford for the data to be wrong. In healthcare, one misplaced digit can change an outcome. That taught us patience, layered validation and a stubborn respect for detail.
We connect old systems to new ones without breaking what already works, and we tell you plainly what will and will not. Today, with Stratus Labs, we are bringing the same discipline to AI. The principle has not changed: every syllable of your data matters.
If you are carrying a system that has to be right, I would like to hear about it.
Stratus LabsOur AI wing, turning structured and unstructured data into intelligence.
Visit Stratus Labs →