- Asset identity and telemetry
- Engineering models and context
- Decision latency and authority
Engineering / IoT and digital twin
Connect equipment, models and operating decisions.
Industrial IoT and digital twin solutions that connect assets, edge processing, telemetry, engineering models and operational applications around clear monitoring, diagnosis and performance use cases.
Service overview
Turn asset signals into context and action without reducing the solution to a dashboard.
Industrial IoT and digital twin solutions that connect assets, edge processing, telemetry, engineering models and operational applications around clear monitoring, diagnosis and performance use cases.
- Service model
- Use focused specialist support for a defined gap, or assemble a multidisciplinary team around a complete workstream. The structure follows the interfaces and decisions in the scope.
- Delivery
- Choose a project, dedicated team, hybrid engagement or managed service. Milestones, client responsibilities and acceptance criteria are agreed before execution.
- Control
- Scope, assumptions, evidence, ownership and review rhythm remain visible. Changes and unresolved risks are recorded with an accountable decision owner.
- Industrial protocols
- Edge Linux
- MQTT
- Signal provenance and quality
- Synchronisation and correlation evidence
- Alert, action and ownership logic
- Embedded systems
- Data engineering
- Physics modelling
Lifecycle positionUse case
Decision, user, asset and measurable value.
Core capabilities
Capabilities included.
Each capability explains the work itself, how it connects with the surrounding product or operating system, and the evidence needed to make the result usable.
Asset connectivity
Connect sensors, controllers, machines and legacy industrial interfaces.
Practical coverage
Select protocols and gateways around equipment and network constraints.
Edge processing
Filter, normalize, buffer and evaluate data close to the equipment.
Practical coverage
Maintain useful operation during limited connectivity.
Device management
Identity, provisioning, configuration, health and controlled updates.
Practical coverage
Operate a connected fleet rather than isolated devices.
Telemetry pipelines
Transport and contextualize time series, event and alarm data.
Practical coverage
Preserve asset, time, unit and operating context.
Twin modelling
Connect physics, behavioural or data driven models to measured state.
Practical coverage
Estimate condition and compare observed with expected behaviour.
Operational applications
Fleet status, trends, alerts, workflows and engineering views.
Practical coverage
Place evidence in the hands of the team accountable for action.
Solutions
Solutions for common delivery needs.
The starting point can be a technical problem, a capacity gap or the need for a complete delivery workstream. CX24 first clarifies the current state, desired outcome and decision ownership.
Distributed equipment lacks consistent visibility.
How CX24 respondsDecision, user, asset and measurable value. The scope, responsible owners and evidence needed for closure are agreed before execution begins.
Raw telemetry exists but is not connected to asset context.
How CX24 respondsDevice, protocol, gateway and identity. The scope, responsible owners and evidence needed for closure are agreed before execution begins.
Maintenance or operations need earlier deviation signals.
How CX24 respondsAsset model, telemetry, events and quality. The scope, responsible owners and evidence needed for closure are agreed before execution begins.
A digital twin initiative needs a credible engineering foundation.
How CX24 respondsTwin logic, alerts, views and workflow actions. The scope, responsible owners and evidence needed for closure are agreed before execution begins.
Delivery approach
A clear path from scope to evidence.
The exact gates change by service, but ownership, review and measurable outputs stay explicit. Each stage establishes the information needed to enter the next one responsibly.
Use case
Decision, user, asset and measurable value.
Stage outcomeConnectivity architecture is prepared or updated before the work advances.Connect
Device, protocol, gateway and identity.
Stage outcomeEdge application is prepared or updated before the work advances.Contextualize
Asset model, telemetry, events and quality.
Stage outcomeTwin/data model is prepared or updated before the work advances.Apply
Twin logic, alerts, views and workflow actions.
Stage outcomeOperations interface is prepared or updated before the work advances.Operate
Fleet, data, model and integration health.
Stage outcomeAgreed next stage evidence is prepared or updated before the work advances.What you receive
Typical deliverables.
Deliverables are adapted to the client environment and agreed acceptance criteria. The aim is to leave behind usable engineering, technology or operating capability, not presentation material alone.
Connectivity architecture
Device, gateway, protocol, identity and network design.
Assumptions, ownership, dependencies and the agreed review status are recorded with the output.Edge application
Acquisition, normalisation, buffering and local logic.
Working files, source information and revision status are organised so the client team can continue using them.Twin/data model
Assets, telemetry, events, commands and model interfaces.
Results include the relevant checks, open issues, limitations and approval evidence, not only the final conclusion.Operations interface
Condition, alerts, trends and workflow connections.
Final handover identifies accepted scope, residual risk, next actions and the accountable owner for each action.Technology and methods
Industrial protocolsEdge LinuxMQTTTime series dataDevice managementDigital twinsAPIsOperational analytics
Evidence clients can review before acceptance.
Proof is defined through the engagement itself: accepted outputs, a visible decision trail, agreed measures and a usable handover.
Accepted outputs
Deliverables are mapped to agreed criteria, version status, accountable owners and review decisions.
Decision trail
Inputs, assumptions, interfaces, changes, exceptions and approvals remain connected to the work.
Delivery measures
Progress, quality, risk, backlog or service measures are selected for the actual engagement.
Usable continuity
Working files, source information, runbooks and handover actions leave the client able to continue.
Client names, project details and outcome claims are published only with permission. Evidence for a specific engagement is confirmed through the agreed scope, reviews and acceptance records.
Choose a delivery structure that fits the responsibility.
Team shape, governance, commercial structure and acceptance are matched to the outcome CX24 is asked to deliver.
Defined project
Bounded scope, milestones, deliverables and acceptance criteria for a specific outcome.
Dedicated team
Stable specialist capacity integrated with client leadership, standards and delivery rhythms.
Delivery centre
Multidisciplinary capacity with named governance, shared methods and transparent reporting.
Managed service
Recurring responsibility operated against controls, service levels and improvement measures.
Build · Enable · Operate