From ambition to lasting capability

Make trusted data the foundation of your AI transformation.

As part of Yuma, we connect strategy, governed data, data spaces and team enablement. So AI becomes more than a collection of isolated experiments: it becomes a reliable capability that can scale.

Start with your challenge

From first direction to working capability.

We join where needed. The topics below are examples; the approach always follows the organisation’s challenge, context and maturity.

01

Explore & align

Bring ambition, value, data maturity and governance together in an actionable direction.

Data strategy · awareness · assessments · governance
02

Design & build

Design the data foundation, products and ecosystems that make AI and collaboration reliable.

InformationGrid · data products · data spaces · AI-ready data
03

Operate & scale

Put the architecture into operation with managed infrastructure, onboarding and interoperability.

Dataspace as a Service · connectors · lifecycle
04

Build capability

Give teams the knowledge to advance models, solutions and governance with confidence.

Modelling · development · Agile Data · governance

This is deliberately not an exhaustive catalogue. Tell us what you are working on

InformationGrid within Yuma

AI transformation takes more than a model.

Yuma approaches AI as a holistic transformation: aligned with strategic goals, human-centred and connected from strategy through delivery. InformationGrid contributes the governed data foundation—meaning, provenance, rights and context that make AI reliable and scalable.

Explore Yuma’s AI approach

Technology that supports the direction

One philosophy. Three concrete solutions.

Data is the foundation. InformationGrid makes it useful; a dataspace provides the governance context for collaboration.

01

Governed data foundations

Model domains and create reusable data products for applications, analytics and reliable AI.

InformationGrid as model-driven technology and solution architectureExplore InformationGrid
02

Dataspace as a Service

A governed infrastructure context in which autonomous participants make data available under agreed conditions.

Registry · governance · policies · evidenceExplore the service
03

Connector and participant solutions

Connect participants in a way that fits their infrastructure, autonomy and operational maturity.

Managed · self-hosted · customExplore connection models

Dataspace as a Service

One shared service. Meet every participant where they are.

We provide the governed dataspace context and connect participants without forcing them into one technology model.

Participant situationNeeds a fast, fully operated start

Managed connector

Fast onboarding · operated service

Participant situationRequires full operational control

Self-hosted connector

Maximum autonomy · local control

Participant situationAlready has its own data infrastructure

Custom integration

Reuse investments · avoid lock-in

Shared foundationDataspace as a Service

One governed environment for agreements, trust and exchange.

Participant registry
Governance
Authorisation
Observability
Semantics
Evidence

Standards-based connectors can also participate in compatible external dataspaces.

Standards & trust

Built for interoperability. Backed by evidence.

We distinguish what is verified, in delivery and on the roadmap. Our infrastructure aligns with the Data Act, DSSC and DSP; for trust, we build on open credential standards and extensible ecosystem profiles, including iSHARE.

Inspect the technical register Explore our trust architecture
Claims are status-labelled
Verified
In delivery
Roadmap
Regulatory trust signalRegistered as a data intermediation service under the European Data Governance Act.Registration, not certification.

Start with your challenge

Which data or AI ambition do you want to realise reliably?