Tell us the service your business needs.
We design, deploy and operate it.
Datastreams turns your requirements into a controlled data service. A DPU server runs the agreed collection, context, rules, APIs and evidence as your runtime data-processing engine. Use it behind existing systems, combine it with a tailored interface or expand it as the processing architecture for your business.
The service starts from your business outcome. The DPU and technical tooling support it underneath.
Choose the service boundary
Use the DPU in the form your business requires.
Datastreams can deliver the controlled data service itself, include a tailored experience or establish the DPU as the shared processing foundation behind several business services.
Controlled data service
You describe the required outcome, information, rules and recipients. Datastreams turns them into a running service and manages its processing, connections, monitoring and controlled changes.
Service with a tailored interface
Add a purpose-built portal, dashboard, mobile experience or operational screen when the process needs one. The interface uses the same controlled APIs and can change without moving the business rules into the front end.
DPU processing architecture
Deploy a DPU server as the runtime data-processing engine behind existing systems and new services. Begin with one data service and expand the same operating foundation across the business.
A clear division of responsibility
We operate the runtime. You retain business authority.
The service boundary is explicit, so managed operations never become hidden platform control.
Datastreams operates
- Translate the agreed requirements into a controlled data service
- Prepare and deploy the DPU runtime in the selected environment
- Connect the agreed sources, destinations, APIs and optional interface
- Runtime releases, compatibility updates and controlled upgrades
- Monitoring, operational diagnostics and service health
- Recovery procedures and support for failed stream operations
Your organisation controls
- Business meaning, rules and permitted outcomes
- Data access, identities and authorisation boundaries
- Infrastructure ownership when dedicated or on-premise
- Approval policy for production and agent-proposed changes
- Retention, regulatory and organisational requirements
For technical teams
Use Visual Studio Code, the Datastreams CLI and MCP without creating a second operating model.
Each technical interface works with the same service definition, validation, permissions and approval route. Business owners can stay focused on requirements while technical teams retain direct, inspectable control.
Visual Studio Code
Technical teams can inspect and version the service definition alongside their project and review each proposed change.
Datastreams CLI
Use the command-line workflow to validate, test, publish and inspect the same controlled service lifecycle.
MCP for approved agents
Let authorised AI clients inspect or prepare work through scoped tools while identity, policy and approval determine what may change.
Start with one service requirement, not an architecture project.
Bring the business process, information, rules, recipients and support expectations. We propose the controlled service, DPU deployment, optional interface and responsibility boundary.