Datastreams
    Datastreams · Streaming intelligence

    Turn live signals into intelligence
    while they still matter.

    Connect customer, behavioural and operational channels, describe what you need to know, and continuously produce governed answers, signals and actions without a new pipeline project for every question.

    Privacy-aware, auditable and ready for people, applications and approved agents.

    Intelligence across every channel

    Ask the operational questions that fragmented data stacks answer too late.

    Customer, behavioural and operational signals can differ in timing and transport. Datastreams continuously evaluates their meaning, current context, permissions and required outcome so every authorised team can work from the same live intelligence.

    Events in motion

    Behavioural, operational, transactional or sensor events evaluated as they arrive.

    API and partner exchange

    Inbound and outbound data services governed through the same contracts, purpose and evidence model.

    Scheduled processing

    Recurring imports, reconciliations and updates that need the same privacy and authority conditions as realtime work.

    Application and agent actions

    Queries and state changes initiated by people, applications or agents through explicitly permitted operations.

    Executable data agreements

    The agreed way of handling data becomes the running operation.

    Internal decision rules, privacy requirements and chain agreements no longer need to be reconstructed from policy documents, tickets and integration code. Datastreams keeps the relevant conditions together with the operation that reads data and produces an outcome.

    Purpose and processing grounds

    Connect the declared purpose and relevant legal basis to the configuration that uses personal data.

    Consent and identity

    Evaluate current consent, identity and relationship conditions before a configured action is allowed.

    Data minimisation and lifecycle

    Limit the data and context used for the outcome and keep retention, expiry and deletion responsibilities visible.

    Authority and permitted action

    Define which person, application, provider or agent may observe, propose, approve or execute.

    Runtime evidence

    Retain the active version, relevant context, policy result, action and destination as operational evidence.

    Describe once, use across the organisation

    Complexity enriches the agreement instead of creating another disconnected service.

    A simple delivery may need only a source, contract and destination. A personal-data operation can add identity, purpose, consent, state, policy, actions and evidence while every authorised department still uses the same operating definition.

    source → agreement → context → purpose → policy → intelligence → action → destination → evidence

    Each definition is versioned and follows validation, testing and approval before activation. People, applications and approved agents work through the same lifecycle.

    Auditable while it runs

    Prove that the active agreement produced the outcome.

    The active definition, relevant context, policy outcome and resulting action remain inspectable as part of normal operations. Teams can review what happened and why without first reconstructing behaviour from application code and provider consoles. This evidence supports accountability; it does not replace legal assessment.

    Explore compliance by design

    Questions the runtime can help answer

    • Which configuration version was active?
    • Which source, actor or agent initiated the operation?
    • Which purpose, consent and policy conditions applied?
    • Which data and current business state were relevant?
    • Which action was allowed, rejected or escalated?
    • Where was the permitted result delivered?

    Across business operations

    The same governed stream pattern supports different objectives.

    The definition changes with the domain; the privacy, authority and evidence lifecycle remains recognisable.

    Customer data

    Receive an interaction, connect it to current customer state and allow only the next action permitted for that purpose.

    KYC and assurance

    Process evidence changes, expiry and missing information while retaining why a follow-up was initiated.

    Operational coordination

    Combine events, capacity, time windows and current state before triggering or suppressing an action.

    Agent interaction

    Give an agent purpose-bound context and permitted actions without creating an ungoverned shadow data path.

    Govern once

    Use one declared authority and policy model across sources, destinations and interaction channels.

    Operate continuously

    Inspect accepted, rejected, escalated and delivered outcomes as part of runtime operations.

    Change deliberately

    Replace compatible integrations or providers through a versioned and approved configuration change.

    Bring the question your current stack cannot answer in time.

    We map the connected signals, shared agreement, required intelligence and evidence into one continuously running operation.

    Bring us your question