Senior technical leadership for your build, and the engineering to deliver it. We take on the architecture and technical decisions for software, data and AI systems, then build them with you.
01
Before the first commit: what to build, what to build it on, and what can wait. These are the decisions you live with at scale.
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A production system rather than a prototype: tested, deployable and observable, so it can be operated from day one.
Founding-team technical lead for a data mesh platform product: core platform, APIs, release management.Read the case study
03
Pipelines, data models and a platform that analytics and AI can rely on, in batch and in real time.
Lakehouse, lineage and data quality for a large-scale data mesh platform in the Middle East.Read the case study
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When load, data and team all grow at once: reliability, performance, and integration with the systems around you.
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Government, defence and enterprise environments, where security, compliance and formal process are part of the work.
Data services and pipelines for a defence organisation in the maritime domain.Read the case study
Each line is a way of working with us. Take one, or change between them as your build moves on.
Senior technical leadership, for as long as the build needs it.
We own the architecture and the technical decisions, lead delivery alongside your team, and take over integrations or projects that have gone off track.
The data platform your analytics and AI will run on.
We design and build the platform end to end: lakehouse or data mesh architecture, batch and real-time pipelines, data models, and the quality checks and lineage that let people trust the result.
The low-risk way to start on a system you already run.
We review the pipelines, backend services and architecture you have, name what will break as load and data grow, and leave you a roadmap you can follow without disrupting operations.
Clients are described without names, as our agreements require.
Founding-team technical leadership for a data mesh product: the core platform, its APIs, compute orchestration, data sharing and release management.
Lakehouse architecture, real-time lineage, data quality and discovery for a data mesh platform serving many data products.
Python services, REST APIs and batch pipelines implementing a domain data model, integrated with the organisation's data mesh platform.
Where we have delivered and what we do there. Station numbers point to the stop on this page where each entry is described.
Write a few lines about what you are building and where it stands. We read every message and reply.
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