Turn domain expertise into
an operable data service.
A domain partner knows what must happen, which exceptions matter and which rules cannot be compromised. Datastreams turns that knowledge into a versioned stream configuration running on a serviced runtime.
The partnership model
Domain authority and runtime responsibility stay clear.
Co-creation is not a generic innovation workshop. It starts with a real operation and ends with explicit ownership of knowledge, configuration, service and change.
The partner brings the domain
Business rules, regulatory realities, users, exceptions and access to a representative operation.
Datastreams brings the runtime
Stream contracts, execution, state, policy, adapters, evidence and the managed operating model.
Together we create a repeatable service
A verified configuration and interface that can move from one implementation to a reusable domain pattern.
Research partnerships
Co-creation extends across information ecosystems.
A service shared by several organisations needs more than a technical connection. Participants must establish meaning, ownership, quality, authority and change together, then keep those agreements usable as the collaboration evolves.
Applied with HAN and the DEMAND network
The Datastreams team is closely involved in applied work on information systems for ecosystems, collaborations and transitions. Our intensive HAN collaboration connects practical runtime questions to DEMAND themes such as data governance, data semantics, data spaces and validated data chains.
Explore DEMANDShared language becomes executable context
Stijn Hoppenbrouwers, lector Data & Knowledge Engineering at HAN and active within DEMAND, provides input and feedback on the possibilities within Datastreams and DataInbox. The collaboration tests how domain language, data meaning and actor responsibilities can remain explicit inside a live information network.
Research and expert feedback inform the platform; Datastreams remains responsible for product definitions, validation and operational claims.
How co-creation works
From one real operation to a reusable service.
Each stage produces something that can be inspected and accepted before the partnership takes on more scope.
- 01
Map
Describe one recurring operation from source and context to permitted outcome and evidence.
- 02
Prove
Run it with representative data and verify rules, exceptions, responsibilities and resource behaviour.
- 03
Productise
Separate organisation-specific choices from the reusable domain configuration, adapters and interface.
- 04
Operate
Agree deployment, support, updates, change control and commercial responsibilities before scaling.
Before productisation
Prove the operation before making market claims.
A configuration becomes a product only after the team has verified the data contract, exception handling, authority boundaries, runtime behaviour and support model with representative conditions.
- A named business outcome and evidence owner
- Representative events, volumes and failure conditions
- Verified adapters and substitution boundaries
- Explicit data, IP and commercial responsibilities
- A deployment, update and incident-service agreement
Bring the operation your sector still solves the hard way.
We will separate domain knowledge, runtime capability and partnership assumptions, then define the smallest proof that can validate all three.
Start the mapping