We build the systems that move, model, and serve data. Designed to run in production, not in a demo.
Lumio Data Labs is an independent engineering practice. We work on data platforms, machine learning systems, and the cloud infrastructure that carries them.
hello@lumiodatalabs.comWhat we do
Three areas, and the seams between them.
Data platforms and pipelines
Ingestion, transformation, and warehousing. We build the pipelines that carry data from where it is produced to where it is useful, along with the models and tests that keep it trustworthy once it arrives.
- Batch and streaming ingestion
- Warehouse and lakehouse modelling
- Transformation, testing, and lineage
- Orchestration and backfill strategy
Machine learning and AI systems
Model integration, inference infrastructure, and LLM-backed applications. Most of the difficulty sits in the engineering around a model — retrieval, evaluation, latency, and cost — and that is the part we focus on.
- Inference services and serving infrastructure
- Retrieval and context pipelines
- Evaluation harnesses and regression suites
- Cost and latency profiling
Cloud and infrastructure
Architecture on major cloud platforms, containerised services, and infrastructure as code, plus the observability and cost work that decides whether a system is still maintainable a year after launch.
- Service architecture and deployment
- Infrastructure as code
- Observability, alerting, and runbooks
- Cost and reliability review
How we work
Opinions earned from things that broke.
Start with the data, not the diagram
Before proposing an architecture we look at what the data actually is: its volume, its shape, how often it changes, and where it already breaks. Designs that skip this step tend to be elegant and wrong.
Ship the smallest thing that runs in production
A pipeline carrying real traffic teaches more in a week than a design document does in a month. We prefer a narrow system that runs to a broad one that is still being specified.
Leave it maintainable
Infrastructure as code, tests around the transformations, and documentation written for whoever inherits the system. The measure of the work is how it holds up once we are no longer looking at it.
About
Lumio Data Labs
Lumio Data Labs is an independent engineering practice. It was founded on years of experience building and operating data systems inside large technology companies and Fortune 100 organisations.
That work was mostly the unglamorous part of the stack: pipelines that could not silently drop records, models that had to answer inside a latency budget, and infrastructure that had to survive a bad day without anyone being paged. It is a useful education in what actually fails.
We apply the same standard to the systems we build today. The practice is deliberately small, which means the people scoping the work are the people doing it.
Contact
Tell us what you are trying to build.
We do not run a contact form. Email reaches us directly and keeps the whole thread in one place. We read everything that arrives and aim to reply within a few business days.
hello@lumiodatalabs.comLUMIO DATA LABS INC.
What helps to include
None of it is required, but the more you describe up front, the more useful the first reply will be.
- What the system does today, and roughly what scale it runs at
- The stack it lives in — cloud provider, warehouse, orchestration
- What is going wrong, or what you are trying to add
- Any timeline you are working against