NexXora’s software scope is the product-facing and machine-facing layer: applications that operate engineered hardware, connected-device services and integrations used in engineering workflows. Broader enterprise software, cloud transformation and business IT services belong to NexXora’s parent-company offering.
Develop the application layer that connects users, machines and product functions. Scope interfaces, testing and maintenance around the actual equipment and operating environment.
Build iOS and Android applications for device interaction, setup and operational use. Connect the mobile workflow to the device interfaces, user roles and operating environment.
Connect engineered devices to cloud applications and relevant operational systems. Azure, AWS and Google Cloud are platform options to assess against the application and deployment requirements. Engineering workflow automation and RPA remain tied to equipment and production data.
Computer vision and edge AI address visual inspection, OCR of printed codes and labels on parts and packaging, perception and offline device intelligence. Each project needs a defined operating environment, representative data and measurable acceptance criteria. Evaluate results against the application’s acceptance criteria and operating conditions.
Agree source code, deployment configuration, API documentation, tests and support scope. Bring existing hardware interfaces and example data so the software can be designed around real product behaviour.
An equipment application may need to discover a device, apply configuration, display operating state and export service information. Define those workflows alongside the device APIs and user roles. A cloud or AI component should support a clear product requirement, such as consolidating readings across sites or evaluating an image from an inspection camera.
Acceptance should include unavailable equipment, incomplete data and interrupted communication as well as the normal workflow. Agree how releases are built, deployed and recovered, and document the interfaces between the application and the hardware. These outputs help the receiving team operate and extend the delivered software.
Device-facing applications, equipment interfaces and industrial software with defined integration and testing requirements.
Product and Industrial Software
iOS and Android applications for connected-device setup, product interaction and field workflows.
Mobile Companion Applications
Engineering cloud integrations for device data and applications, with Azure, Google Cloud and AWS project options.
Cloud Platforms for Connected ProductsAutomate repetitive engineering and manufacturing information flows using integrations and RPA where appropriate.
Engineering Workflow Automation and RPA
Vision engineering for defect inspection, OCR of printed codes and labels on parts and packaging, measurement and perception, validated for each application.
Computer Vision for Inspection and Perception
On-device intelligence for offline voice commands, local inference and hardware-constrained embedded devices.
Edge AI and Offline Voice