WHITE Industrial Ecosystem / Connected Factory Intelligence & Automation
A configurable industrial software and integration ecosystem connecting machinery, production operations, quality and factory data — with AI-assisted analysis, decision support and automation.
Active development · Component testing in progress
Machinery. Cloud. AI. Operational control.
WHITE / The architecture we are building
From machine signals to a shared operational picture — and from authorized decisions to controlled action.
Sensors · PLC · HMI · Industrial gateways
Data integration · Cloud / local / hybrid
Quality · Patterns · Alerts · Decision support
Management views · Tablet · Mobile · Role-based access
Operator approval → defined permissions → validated control integration
Control connects to the equipment through a defined engineering scope. AI informs the decision; machine logic and safety remain with the designated control systems.
WHITE Industrial Ecosystem is an industrial concept in active development, with selected components undergoing testing. We are building a connected architecture across machinery, factory data, cloud services, AI-assisted analysis and authorized operational control.
The ecosystem is configured around each factory through software development and integration. It can accompany WHITE equipment or connect compatible existing equipment. All enquiries and projects are handled by WHITE.
WHITE × ATYAF TEKNOLOJİ
The WHITE Industrial Ecosystem is developed in technical partnership with Atyaf Teknoloji, a specialist in information systems development with extensive experience in cloud software development.
The project brings together software, industrial and management engineering with mechanical and electrical engineering, control systems, quality and systems integration. Shared requirements connect production processes, operational decisions and digital services within one coordinated approach.
Software outputs follow an ongoing development and maintenance approach: structured releases, testing, operational feedback and iterative improvements support the system as industrial requirements evolve.
Information security policies, risk assessment and data quality are part of the development approach. Access control, integration risks, data accuracy, consistency and traceability are considered together, with controls defined and reviewed for the agreed project scope.
One connected architecture brings together machine connectivity, operations, quality, AI-assisted analysis and equipment intelligence. Each project defines the interfaces, permissions and functions to integrate.
WHITE Industrial Ecosystem is in active development, with selected components undergoing testing. The architecture connects equipment, factory data, cloud services and AI-assisted analysis with authorized monitoring and control. Deployment scope and validated functions are defined for each project.
Equipment, controllers and sensors; HMI development and integration; operational data collection and automation integration within the project scope. Third-party equipment requires technical assessment.
Production, machine status and shift monitoring; batch traceability, recipe permissions, downtime and operation records. Scope is configured for the project, not presented as a replacement for all factory management systems.
Data organization, role-based views, reports, indicators and alerts to help management understand performance. Energy or productivity indicators require the relevant source data.
Quality checkpoints and test results linked to batches and operating conditions; deviation and rejection tracking; analysis of relationships between process and output quality. Configured to the available data.
Pattern and deviation analysis, potential causes of deterioration, event summaries and operational questions grounded in available data. Visual inspection is project-specific and requires suitable inputs and validated performance. AI supports human review and cannot issue direct equipment commands.
Equipment and maintenance records, operating hours, alerts and condition monitoring. Predictive maintenance depends on suitable data, sensors and validated models; it is not a general promise.
Configured according to project requirements. Subject to technical assessment.
We are developing the data layer around cloud, on-premises and hybrid deployment options. This layer connects factory information with management views and AI services. Hosting, data location, backup and network policies are configured for the project.
The tablet application direction brings the ecosystem to the shop floor: production follow-up, quality checkpoints and authorized operational records. Workflows and device access are developed around the operator’s role and the machine HMI.
The mobile application direction connects responsible teams with operational summaries, alerts and follow-up wherever access is authorized. Notifications, offline workflows and browser or native delivery are defined within each project’s scope.
ERP / MES / WMS / SCADA
Integration with ERP, MES, WMS or SCADA is assessed against the interfaces, permissions and data available in your factory. This is not a promise to replace those systems or support every platform.
Configured according to project requirements. Subject to technical assessment.
Configured according to project requirements. Subject to technical assessment.
Configured according to project requirements. Subject to technical assessment.
AI assists analysis, monitoring and decisions. Engineers and quality teams retain responsibility. Analytics does not replace the machine HMI, PLC or safety systems, and does not autonomously change recipes, operating parameters or safety functions.
The ecosystem is in active development, with selected components undergoing testing. The delivered software, integrations and functions are configured and validated for each project.
Compatibility depends on the controllers, interfaces, permissions and data available. A technical assessment defines the integration scope.
Cloud, local or hybrid deployment and tablet/mobile applications form part of the ecosystem architecture. Implementation, access policies, notifications and offline workflows are defined and validated for each project.
WHITE Industrial Ecosystem
Configured according to project requirements. Subject to technical assessment.
