Engineering services
CX24 provides multidisciplinary engineering services for physical, digital and connected products. We connect product definition, mechanical design, simulation, electronics, embedded software, validation and production readiness in one delivery model.
One engineering capability
Physics Based Modelling complements conventional CAE. The right mix depends on the decision, required fidelity and available evidence.
Detailed engineering
Resolve local behaviour in components and assemblies: stress, deformation, temperature, flow and dynamic response.
Shared physics
Shared evidence
Agreed interfaces
Connected behaviour
Represent the relationships that govern system behaviour, coupled effects and repeated operating scenarios.
A reduced or system model does not automatically replace detailed CAE or physical testing. Its intended use and limitations remain part of the engineering decision.
Requirements, operating conditions, interfaces and success criteria.
Core capabilities
Choose the capabilities your project needs. We agree the scope, interfaces and required outputs with your team before work starts.
Requirements, feasibility, system architecture, concept development, integration and lifecycle coordination.
New product development, product improvement and sustaining engineering.
Concept layouts, parametric 3D models, assemblies, drawings, tolerance definition and DFM support.
From early packaging studies to manufacturing ready design packages.
Structural, thermal, fatigue, vibration, CFD and coupled physics analysis connected to design decisions.
Models are defined around the engineering question, operating condition and evidence need.
Electronics architecture, firmware, controls, sensing, communications and system level verification.
Hardware and real time software are engineered together at their interfaces.
Asset connectivity, edge processing, telemetry, operational models and decision support applications.
Extend engineering knowledge into the product operating lifecycle.
Design for manufacture, validation planning, technical documentation and controlled production handover.
Prepare product definition and evidence for repeatable execution.
Solutions
Start with the problem you need to solve. We define the work, responsibilities and acceptance criteria around that need.
You need specialist capacity within an existing engineering team.
A programme requires several disciplines to work as one system.
Late design change or validation failure is slowing product release.
You need a controlled transition from concept or prototype into production.
Delivery approach
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.
Requirements, operating conditions, interfaces and success criteria.
Stage outcomeProduct definition is prepared or updated before the work advances.System boundaries, disciplines and verification logic.
Stage outcomeDesign package is prepared or updated before the work advances.Coordinated physical, electronic, embedded and digital design.
Stage outcomeValidation evidence is prepared or updated before the work advances.Simulation, prototype and test evidence against requirements.
Stage outcomeProduction handover is prepared or updated before the work advances.Manufacturing data, quality inputs and release documentation.
Stage outcomeAgreed next stage evidence is prepared or updated before the work advances.What you receive
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.
Requirements, architecture, interfaces and development plan.
Assumptions, ownership, dependencies and the agreed review status are recorded with the output.Models, drawings, calculations, software and technical documentation.
Working files, source information and revision status are organised so the client team can continue using them.Analysis reports, test plans, results and issue closure.
Results include the relevant checks, open issues, limitations and approval evidence, not only the final conclusion.Released data, change status and manufacturing readiness inputs.
Final handover identifies accepted scope, residual risk, next actions and the accountable owner for each action.Engineering execution
Build the engagement around the required disciplines. Named personnel, availability, credentials and relevant experience are confirmed during scoping.
Owns the technical scope, interfaces, assumptions, review gates and the connection to the customer decision.
Develops the analysis setup, material and boundary assumptions, numerical checks and engineering interpretation.
Develops governing models, parameter studies, system interfaces and reduced representations where appropriate.
Reviews acceptance criteria, reference evidence, calibration separation, uncertainty and the limits of the result.
Supports reproducible model execution, automation, version control, packaging and integration requirements.
Use a defined analysis package, a bounded modelling pilot or an agreed engineering team. Scope, accountability and acceptance stay explicit.
These are capability profiles for engagement planning, not named employee biographies or a claim of current headcount.
Tools & working environment
The software, versions, licences, compute environment and transfer formats are agreed before work starts. A tool name alone is not evidence that a model is fit for use.
Confirm native geometry, solver and meshing requirements, material sources and result formats against the customer environment.
Detailed design & analysisAssess Python based numerical workflows for parameter studies, automation, data preparation and reproducible comparisons.
Candidate ecosystem: Python · NumPy · SciPyAssess equation based modelling and model exchange interfaces where multiple systems or toolchains must work together.
Candidate ecosystem: Modelica · FMISolver and version · Licence responsibility · Compute and data location · Model interfaces · Reproducibility · Handover format
Candidate tools are options to evaluate, not claims of CX24 vendor partnership, certification or installed licences. About the FMI model exchange standard ↗
Agree the deliverables, review records and acceptance measures at the start. These are the evidence you should receive during delivery, not claims about past projects.
Deliverables are mapped to agreed criteria, version status, accountable owners and review decisions.
Inputs, assumptions, interfaces, changes, exceptions and approvals remain connected to the work.
Progress, quality, risk, backlog or service measures are selected for the actual engagement.
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.
Start with a defined scope
Choose the first decision you need to make. We can scope the analysis, review or pilot around it.
Build · Enable · Operate