About the service
At Fabrity, we specialize in building IIoT networks from the ground up: from sensors, to gateways and edge devices, to cloud platforms, to custom software for industrial and manufacturing data analysis.
Together with our partner Advantech, a global leader in the fields of IoT intelligent systems and embedded platforms, we can help you pave the way toward Industry 4.0, empowering your plants with smart sensors, automation, and AI-powered solutions.
What we do
IIoT strategy and consulting
Develop tailored IIoT strategies to ensure a smooth transition to Industry 4.0, aligning with your business goals.
Sensor and device integration
Integrate sensors and devices into your infrastructure for seamless real-time monitoring and control.
Gateway and edge device implementation
Deploy and configure gateways and edge devices for local data processing and faster decision-making.
Custom software development
Create bespoke software solutions, including data engineering, data visualization, predictive maintenance, and automation.
Data engineering
Design and maintain robust data architectures for scalable and high-performance data analytics and machine learning.
AI-powered solutions
Implement AI-driven solutions such as machine learning models, computer vision, and AI virtual assistants to optimize processes.
Who we work for
Our solutions: data acquisition on brownfields
Challenges
Multiple vendors
IoT devices and machinery in the factory are sourced from various vendors, which can lead to compatibility and standardization issues.
Brownfield situation
The site encompasses diverse systems, installations, buildings, and machines from different vendors, complicating integration efforts.
No infrastructure
There is a lack of interconnected installations and an absence of a comprehensive wired network, which impedes effective data transmission.
No integration with software
Absence of software tools for data collection, visualization, and analysis limits the ability to utilize collected data efficiently.
Differing IoT sensor output
IoT sensors produce a mix of analog and digital signals, making data aggregation and processing more challenging.
Security vulnerabilities
The existing security measures are insufficient for protecting IoT devices and networks, increasing the risk of data breaches and unauthorized access.
The solution: WISE-EdgeLink-IoT gateway for device connectivity and communication
WISE-EdgeLink offers a versatile solution for collecting IoT data from various sensors. It supports a wide range of protocols and signal types, ensuring compatibility with devices from multiple vendors. The solution simplifies the integration of analog signals, making it easy to aggregate and process data, even from older sensor technologies. Its flexibility extends to infrastructure deployment, allowing for seamless implementation on both existing and new systems, which reduces setup complexity and costs.
Additionally, WISE-EdgeLink provides dedicated connectors for APIs, frontend web services, databases, and more, ensuring secure and efficient data integration. With comprehensive support for MES, SCADA, cloud services, IoT hubs, and custom software, it enhances connectivity across systems.
With WISE-EdgeLink, you can ensure a seamless flow of data from sensors to the cloud and data analysis platforms, keeping you informed of real-time conditions in your production facilities.
Features and benefits
Vast support for protocols and signals
WISE-EdgeLink supports a broad range of protocols and signal types, ensuring compatibility and seamless integration with devices from multiple vendors.
Easy analog signal implementation
The solution simplifies the incorporation of analog signals, allowing for efficient data aggregation and processing even from older sensor technologies.
Flexible implementation on infrastructure
It is designed for easy deployment on both existing infrastructure and new systems, reducing setup complexity and costs.
Dedicated connectors
It includes dedicated connectors for APIs, frontend web services, databases, and more, facilitating robust and secure data integration.
Comprehensive integrations
The solution integrates with MES, SCADA, cloud services, IoT hubs, and custom software, enhancing connectivity and utility across different systems.
Enhanced data visualization and analysis
The solution enables the integration of advanced data visualization and analysis tools, enabling deeper insights and more informed decision-making from collected data.
Our solutions: IoT data visualization and analysis
Challenges
Incompatible systems across divisions
Different systems and data formats across various divisions create challenges in integrating and centralizing data, complicating the analysis and visualization processes.
Varying KPI requirements
Each division may require monitoring of different KPIs with distinct analysis needs, making it difficult to develop a unified solution that accommodates all variations efficiently.
Absence of media monitoring capabilities
With no additional sensors available for media (such as audio, video, or image data), capturing and analyzing qualitative data becomes problematic.
Infrastructure limitations for sensor integration
Existing infrastructure does not support the integration of new types of sensors, hindering the expansion and enhancement of data collection capabilities.
Rigid control processes
Closed control processes limit the ability to implement adaptive data analysis and real-time decision-making tools, affecting responsiveness and operational agility.
Disconnected smart manufacturing components
A lack of connectivity among different components required for smart manufacturing prevents effective data sharing and integrated analysis.
The solution: an AI assistant for data visualization and analysis
Our AI assistant integrates OpenAI’s LLMs with real-time IIoT data and a RAG pipeline to deliver actionable insights in industrial settings.
You can interact with the data through an intuitive chatbot interface. When a user, such as a plant manager, asks a question, the LLM generates a Python script that retrieves, visualizes, and analyzes the data as requested. The LLM is instructed to recognize data-related questions and select the appropriate data for responses. Additionally, it can draw conclusions from the data and generate various types of charts.
More importantly, our AI-powered assistant offers users insights into the potential root causes of detected anomalies. For instance, when we inquired about possible reasons for a temperature rise above 80°C, the assistant generated detailed responses, outlining likely causes and recommending actions for maintenance technicians. This capability is powered by the integration of a RAG pipeline, which provides the assistant with the necessary knowledge to accurately respond to user queries.
Disclaimer
All product names and data on this screenshots are synthetic and were generated by AI for demonstration purposes.
Features and benefits
Unified data integration
The AI assistant can integrate data from multiple systems and formats across different divisions, facilitating a centralized platform for comprehensive analysis.
Customizable KPI analytics
It supports customizable setups for varying KPIs across different divisions, ensuring relevant and targeted analytics that cater to specific requirements.
Virtual sensor capabilities
By leveraging existing data points and applying advanced analytics, the assistant compensates for the lack of specific media sensors, offering virtual sensing capabilities through data inference.
Adaptable to existing infrastructure
Designed to work within the constraints of current infrastructure, the AI assistant utilizes existing data points without requiring additional physical sensor integration.
Dynamic control process integration
The assistant integrates with closed control processes to provide more flexible and dynamic analysis options, enhancing decision-making even within rigid systems.
Enhanced connectivity for smart manufacturing
It ensures seamless data connectivity and sharing across various smart manufacturing components, enabling integrated and efficient operations management.
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Our solutions: industrial data analysis
Challenges
Isolated data analysis limits insights
Single point analysis without data exchange or process awareness leads to fragmented insights, making it harder to identify hidden weak points across the system.
Departmental silos hinder holistic analysis
Different systems used by various departments create silos, making it difficult to integrate and analyze data across the organization effectively.
Diverse KPIs complicate solution standardization
Different solutions tailored to specific KPIs across departments complicate standardization, leading to inefficiencies in data analysis.
Insufficient sensors for monitoring media
A lack of additional sensors for media monitoring creates data gaps, limiting the ability to optimize resource use in smart manufacturing.
Infrastructure limitations for new sensors
Without proper infrastructure, new sensors can’t be fully utilized, hindering the collection of critical data for advanced IoT analysis.
Closed control processes restrict data connectivity
Closed control processes prevent seamless data integration, limiting the ability to create a unified and adaptive manufacturing environment.
The solution: a comprehensive real-time monitoring (RTM) platform
With RTM platform, you can collect and visualize data from IoT sensors across your factories, providing real-time insights into machine performance. This enables you to monitor the health of every machine and detect anomalies early, preventing costly downtime and ensuring smooth operations. The platform’s powerful analytics capabilities turn raw data into actionable insights, helping you make informed decisions to optimize production.
The RTM platform also allows you to manage users and alarms effectively, ensuring that the right people are informed about potential issues. Alarms can be customized to suit your factory’s needs, ensuring timely responses to problems before they escalate. Additionally, the platform integrates seamlessly with mobile devices, enabling employees to receive alerts and address concerns promptly, no matter where they are.
Features and benefits
Rapidly resolve anomaly events
Quickly identifies and addresses anomalies in the system, minimizing downtime and preventing potential issues before they escalate.
Augment employee capabilities
Enhances employee effectiveness by providing real-time data and insights, allowing for better decision-making and improved operational efficiency.
Reduce production time wastage
Streamlines processes and reduces inefficiencies, leading to less wasted time during production and improved overall workflow.
Optimize corporate sustainability
Helps optimize resource usage and energy efficiency, contributing to a more sustainable and more environmentally friendly operation.
Enable scalable deployment
Supports easy and scalable implementation across various departments or facilities, ensuring flexibility as the business grows.
Promote information transparency
Facilitates clear and accessible data sharing across the organization, minimizing information silos and enabling more informed decision-making.
Our solutions: computer vision
Challenges
Manual quality checks
Consistency and accuracy in manual quality checks are difficult to maintain, particularly in high-volume environments where fatigue can lead to errors.
Harsh environments to be checked
Manufacturing environments often feature extreme conditions, such as high temperatures and corrosive materials, challenging both equipment durability and worker safety.
Repetitive and manual tasks
Repetitive tasks can cause worker fatigue and increase error rates, impacting both product quality and employee well-being.
Hazardous areas with high risk of injury
Areas with inherent dangers pose significant safety risks to workers, complicating the balance between productivity and safety.
High costs of waste products
Minimizing waste is crucial in processes involving expensive materials, as waste can significantly drive up costs and reduce efficiency.
Complexity in monitoring and maintaining equipment
Continuous operation of complex manufacturing machinery requires advanced monitoring and maintenance, posing significant logistic challenges.
The solution: industrial edge AI and GPU solutions
Computer vision and edge AI enhance product quality and consistency through real-time analysis, reducing errors from manual inspections and ensuring uniformity in production. By automating repetitive tasks, these technologies increase throughput and accuracy while minimizing human fatigue, leveraging GPU-accelerated computations for optimal performance.
Built to withstand harsh industrial environments, edge AI and computer vision ensure continuous operation and improve worker safety by reducing the need for physical exposure in dangerous areas. Additionally, they minimize material waste with advanced defect detection and enable real-time equipment monitoring, supporting predictive maintenance to reduce unplanned downtime and boost overall equipment effectiveness (OEE).
Features and benefits
Enhanced quality and consistency
Computer vision and edge AI analyze quality in real-time, delivering consistent product checks and reducing the errors that arise from manual inspections.
Resilience in harsh environments
Edge AI and computer vision systems are designed to withstand extreme industrial conditions, ensuring continuous operation and worker safety without physical exposure.
Automation of repetitive tasks
These technologies streamline repetitive processes, reducing human fatigue and increasing both accuracy and throughput with GPU-accelerated computations.
Safety in hazardous areas
Computer vision and edge AI enhance monitoring in dangerous areas, detecting safety hazards automatically and keeping humans out of harm’s way.
Minimization of material waste
Advanced defect detection through GPU-powered computer vision systems significantly lowers waste in processes using costly materials, improving yield and efficiency.
Advanced equipment monitoring
Industrial edge AI and GPUs enable sophisticated, real-time equipment monitoring, facilitating predictive maintenance and enhancing overall equipment effectiveness (OEE) by minimizing unplanned downtime.
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