Services
Our services answer three questions.
They are the questions you face when a data or AI initiative is about to start, is under way or has stalled. You can start with any of them. Few organisations start from scratch, which is why we first ask what you have already done.
Our signature services
Invinite Data Stack – a sovereign data platform for your own environment and the cloud
A lakehouse platform built on open technologies that can run in your own data centre, in a private cloud or in a public cloud with the same architecture.
Invinite Data StackData as Software
An approach built on software engineering methods that makes data production tested and repeatable.
Data as SoftwareThe Invinite playbook · 01
What do you want to achieve?
What is the problem worth solving, and what do you want to change in how the organisation works?
Strategy and design
We help bring business goals, user needs and the possibilities of technology together into a clear direction.
Current state and target state
We build a shared picture of where you are now, what needs to change and what the intended outcome looks like.
Identifying data and AI opportunities
We identify where data and AI can genuinely improve operations, decision-making or the quality of services.
Prioritisation
We help focus development on what matters most in terms of goals, impact and feasibility.
Definition
We turn goals and needs into requirements precise enough for the solution to be designed, procured or built.
The Invinite playbook · 02
How will it be delivered?
How are data, AI and technology used appropriately to build a solution that is durable and works?
Architecture
We design the whole so that business, data, integrations, applications and technology support the same goal.
Data and AI solutions
We design and build solutions in which data and AI serve an identified purpose rather than remaining isolated technology experiments.
Roadmap
We break the target state down into achievable phases and make the key dependencies, choices and sequence visible.
Technical specification
We describe the solution's technical requirements, interfaces, data flows and other details that matter for implementation.
Limited verification
We verify the solution with real data in the real environment before wider implementation. The criteria for production use are agreed before verification begins.
Technical implementation
We build working solutions that stand up to production use and fit the customer's existing environment.
The Invinite playbook · 03
How does it create impact?
How does the new solution become part of operations and produce measurable value?
Deployment
We bring the new solution into everyday operations, processes and the system environment in a controlled way.
Operational change
We help change processes, roles and ways of working so that the new solution genuinely changes how the work is done.
Ownership
We make sure that responsibilities, decision-making and the ongoing development of the solution are clearly in the customer's hands.
Building capability
We transfer know-how to the customer's organisation so that the solution can be used, managed and developed after the project too.
Measuring and evaluating impact
We define how the intended impact is measured, evaluated and used in developing operations and the solution further.
What you buy from us
A large initiative can be done in several parts.
Project
An experienced team of specialists answers a defined question, and the result is agreed in advance. A study, a definition or limited verification in the real environment, for example.
A specialist in your team
An architect, a lead developer or a specialist responsible for operational change contributes to a defined role for as long as the work needs. Building a data platform or developing data production, for example.
Implementation team
A typical implementation team has an architect, a lead developer and one or more developers. The team builds the solution together with your own specialists, so the methods used in the work stay with you. Making data production's ways of working, methods and output more efficient, for example.
Technical ownership of the whole
We steer the implementation on your behalf and represent your interests. We are responsible for architecture, interfaces and quality requirements, and we also review the work of other suppliers before it goes into production. Your own team or several suppliers can do the build, and each supplier keeps contractual responsibility for its own delivery.
Technical ownership of the wholeQuestions and short answers
How do we modernise our data platform without locking ourselves into one supplier?
By deciding first what has to be portable: the data, the data models and the key workflows. Those are built on open standards and replaceable components. Beyond that, you can choose a single supplier's product, as long as the choice is a conscious one.
Sovereign data platformWhy do our data pipelines break every year?
Usually because the transformations are long SQL queries that cannot be meaningfully unit-tested, and the same logic has been copied to many places. Almost every fix then breaks something else. The remedy is in the method: small testable functions, version control, and automated testing and deployment.
Data as SoftwareHow do we get OMOP to work in practice?
OMOP provides the structure, but harmonisation is always an interpretation of what the source systems contain. What matters is how the interpretations are documented and who maintains them. Vocabulary mappings need version control just as code does.
Health data: standards and regulationOur pilot works, but progress has stalled. What is missing?
Most often an owner and criteria. Nobody has been named as the owner of the phase after the pilot, and the conditions for going ahead or stopping have not been written down. The model is rarely the problem.
AI into productionWe need a situational picture that management can steer by. Where do we start?
With the decisions. First define what is decided on the basis of the situational picture, and who decides. The data content comes next, and the views only at the end.
Health and social care situation centres and preparednessA tender is coming up. How do we know what to buy, and in what parts?
In a definition, we write the procurement requirements and acceptance criteria so that they are technology-neutral yet precise enough. At the same time you decide what stays under your own control.
DefinitionThere are many suppliers. Who takes technical responsibility for the whole?
In a multi-supplier project, one party has to be responsible for architecture, interfaces and quality requirements. We can take on that role for the duration of the implementation. We then review changes before they go to production, including those made by other suppliers. We have held this role with two customers.
Technical ownership of the whole