Engineering design & CAD services
Drawing conversion, 2D/3D detailing, modelling, CAD reconstruction, assemblies and manufacturing documentation.
Combine design services, engineering software, AI, analytics, enterprise integration and managed technology to improve product, plant and field operations.
Discuss an engineering requirement →Reduce fragmented information, improve production visibility, digitize engineering assets, automate service workflows and connect the systems used across design, manufacturing, quality and maintenance.
Use one focused service or combine multiple capabilities around a product lifecycle, production process, maintenance operation or engineering transformation programme.
Drawing conversion, 2D/3D detailing, modelling, CAD reconstruction, assemblies and manufacturing documentation.
Web, mobile and desktop applications for engineering workflows, field service, inspections, approvals and technical collaboration.
Engineering knowledge search, production and OEE analytics, quality insights, predictive maintenance and workflow automation.
Connect product data, production systems, enterprise workflows, master data, APIs and operational reporting.
Technical animation, digital work instructions, interactive modules, maintenance content and multilingual training assets.
Secure environments, DevOps, monitoring, support and ongoing management for engineering and manufacturing applications.
Solutions are aligned to the information, systems and operational decisions required across engineering, production, quality, service and workforce enablement.
CAD data, design documentation, engineering change workflows and product-data collaboration.
OEE, downtime, throughput and shift-performance analytics linked to plant systems.
Inspection applications, non-conformance workflows, traceability and quality dashboards.
Predictive maintenance, service applications, technical content and asset-history access.
Secure document exchange, approvals, revision control and engineering communication.
Digital work instructions, multilingual learning, simulations and technical knowledge access.
Measures can include engineering turnaround, data accuracy, production visibility, maintenance readiness, application adoption, training effectiveness and reduction in manual work.
Delivery is shaped around the workflow, source data, system landscape, engineering standards, plant constraints and measurable business result.
Review workflows, systems, data, drawings, users and current operational gaps.
Define the solution architecture, engineering outputs, integrations and success measures.
Build, configure, convert, integrate and validate in controlled stages.
Support adoption, monitor performance and improve applications and workflows over time.
Share the product, plant, application or engineering-data challenge. We will help define the right combination of design, software, AI, integration and managed support.