DIGITALIZATION RESEARCH AND LEARNING MADE EASY
HARNESSING THE POWER OF IOT AND DIGITALIZATION TO DRIVE COLLABORATIVE RESEARCH, CUTTING-EDGE DEVELOPMENT, AND TRANSFORMATIVE EDUCATION
BRIDGE THE IOT SKILLS GAP
DIGITALIZATION RESEARCH AND LEARNING MADE EASY
HARNESSING THE POWER OF DIGITALIZATION, IOT AND INDUSTRY 4.0 TO DRIVE COLLABORATIVE RESEARCH, CUTTING-EDGE DEVELOPMENT, AND TRANSFORMATIVE EDUCATION
HOUSTON, WE HAVE A PROBLEM!
Many organizations across different sectors, including industry, manufacturing, academia, and research institutions, struggle to integrate digitalization and automation technologies into their existing systems.
In addition to this integration challenge, they also need to implement new IoT technologies and develop strategies for effectively utilizing them.
This involves not only understanding the technical aspects of IoT and digitalization but also conducting research to explore innovative applications and learning how to leverage these technologies for optimal benefit and impact.
These challenges highlight the need for a specialized approach to addressing the digitalization journey. Entities require an IoT solution and a partner who understands their domain, can guide them through the complexities, and provide reliable advice.
With the right IoT solution, entities can access a controlled learning, testing, and experimenting environment, gaining the knowledge needed to make informed decisions.
Additionally, the right IoT solution offers a platform to evaluate different vendor solutions, ensuring that the selected partner understands the clients’ requirements and needs and can deliver on their promises.
Addressing the challenge of limited domain knowledge and vendor selection difficulties is crucial for successful digitalization.
The solution to these challenges is a researching, developing, testing, educational, and prototyping platform designed for those pursuing essential IoT skills.
This platform not only serves as a learning and development tool but also transitions seamlessly for use in actual production environments. It is a versatile solution that can be delivered either as a highly capable IoT PC or an IoT Edge device.
Additionally, the solution can be offered as a cloud-based SaaS (Software as a Service) solution. This dual capability ensures that organizations can not only train their workforce on the latest IoT technologies but also implement these technologies effectively in their operations.
By bridging the gap between learning and doing, this platform addresses the challenge of limited domain knowledge and vendor selection difficulties, paving the way for successful digitalization in a practical, hands-on manner.
SandBox is Jack-of-all-trades toolbox for OT and IT IoT Engineers. It provides a controlled researching, developing, testing, educational, and prototyping environment, enabling users to acquire domain expertise and confidently evaluate different vendor solutions. By bridging the knowledge gap and facilitating informed decision-making, our solution empowers entities to navigate the complexities of IoT implementation and select the right vendor for their specific needs.
SandBox is more than just a solution; it’s a strategic partner in your digital transformation journey, offering a versatile and future-proof platform that adapts to your evolving IoT needs.
Choosing an on-premises IoT device with all on-premises solutions and a local database can offer several advantages over a hosted, cloud-based solution.
SandBox in-a-box is a combined hardware and software solution pivotal to the IoT sector. The hardware component is a competent IoT device, while its software is an open-source stack designed for crafting comprehensive IoT solutions or for learning and experimentation. Ideal for automation and IT engineers, SandBox provides real-time monitoring, predictive maintenance, and a controlled environment, ensuring streamlined processes and maximized investments.
It comes in four distinct versions tailored to different sectors. Each SandBox variant possesses the same high-quality hardware specifications but comes with its own software stack, uniquely modified to meet the specific needs of its domain:
SandBox Blue – Designed for Academia, Research Institutes, and general development, testing, and learning. Ideal for environments focused on innovation and education.
Software stack: SandBoxOS, Node-RED, n8n, Orion Broker, FIWARE, Kafka, PostgreSQL, Grafana, ThingsBoard, TensorFlow,…
SandBox Red – Catered specifically for Industry 4.0, manufacturing, and logistics sectors. This version is optimized for industrial applications and streamlining production processes.
Software stack: SandBoxOS, Node-RED, OPC-UA, SparkPlug B, IoTool, ThingsBoard, EMQX MQTT, Kafka, PostgreSQL, Grafana, TensorFlow,…
SandBox Edge – Specialized in collecting and transferring vital sensor and machine data. It’s designed to enhance IoT Edge applications in manufacturing and logistics, seamlessly linking with the SandBox for smarter, more efficient industrial operations.
Software stack: SandBoxOS, Node-RED, OPC-UA, SparkPlug B, IoTool, ThingsBoard, EMQX MQTT, PostgreSQL, Grafana, TensorFlow,…
SANDBOX PRIVATE CLOUD
SandBox Private Cloud is a versatile and scalable cloud-based platform, offering an alternative approach to implementing IoT solutions for various organizational needs. SandBox Private Cloud transcends the limitations of on-premises systems, offering flexibility, accessibility, and efficiency.
SandBox Private Cloud is a comprehensive software solution that stands at the forefront of IoT technologies. It eliminates the need for physical hardware on-premises, thereby reducing maintenance costs and physical space requirements. Our cloud-based approach ensures seamless updates, superior scalability, and enhanced security, allowing for real-time data processing and storage in the cloud.
Software stack: SandBoxOS, Node-RED, n8n, EMQX MQTT, Kafka, PostgreSQL, Grafana, TensorFlow,…
SandBox in-a-box / SandBox Private Cloud Control panel
Applications of SandBox Private Cloud across Various Domains:
- SandBox Private Cloud for Academia and Research: Ideal for educational institutions and research bodies, this variant focuses on facilitating innovative research and collaborative learning in the IoT space without the constraints of physical infrastructure.
- SandBox Private Cloud for Industry and Manufacturing: Tailored to meet the dynamic demands of Industry 4.0, this version provides tools for optimizing manufacturing processes, enhancing production efficiency, and enabling predictive maintenance, all through cloud integration.
- SandBox Private Cloud for Smart Cities and Greentech: Designed for urban and environmental technologies, this variant supports the development of sustainable solutions for smart cities, from energy management to urban infrastructure projects, all managed through a centralized cloud platform.
SANDBOX USE CASES
These use cases demonstrate how SandBox can enhance productivity, efficiency, and control in the IoT domain. Entities across commercial, industrial, care (eHealth, AAL), academic, and research sectors can optimize operations, reduce costs, and improve overall performance by leveraging real-time data, automation, and remote capabilities.
For all of this, you need to learn.
A comprehensive understanding of the domain is crucial for harnessing the full potential of IoT solutions. It is not just about the technology but also about the knowledge and expertise to effectively utilize it.
SandBox goes beyond being a mere tool – it empowers users to acquire domain-specific knowledge, experiment with different scenarios, and make informed decisions. SandBox allows users to learn, test, and conduct experiments in a controlled and safe environment. This enables them to gain hands-on experience, explore the possibilities of IoT implementation, and confidently adapt the technology to their unique needs in various sectors.
By combining the power of SandBox with domain expertise, entities across these diverse sectors can unlock new opportunities for innovation and operational excellence.
These are just a few examples, and SandBox’s potential use cases can vary depending on specific requirements and needs across various sectors such as commerce, industry, care, academia, and research. The versatility and flexibility of the solution make it applicable across these diverse areas, opening opportunities for enhanced connectivity, automation, and data-driven decision-making in a multitude of environments.
SandBox is based on the OpenSource components stack.
It has pre-installed software or firmware that facilitates data acquisition, protocol translation, and data management. It provides an intuitive user interface for configuration and monitoring and offers customization options to meet specific business requirements.