IIoT Platform

Connect siloed data. Transform your operations. Meet Braincube’s IIoT Platform.

The Braincube Smart IIoT Platform is enhanced with an advanced business intelligence app suite dedicated to manufacturers. Leverage the flexible infrastructure to collect, integrate, and structure your real-time and historical data from IT and OT systems. Customize your Cloud, Edge, or Hybrid infrastructure to get real-time visibility into your production conditions, or dive deeper with Braincube’s Digital Twin and proprietary AI to optimize your processes and quality.

Our 25+ ready-to-use business intelligence (BI) apps and connectors empower everyone at your company to gain instant and long-term value from data streams and Big Data analytics. These advanced applications are customized to your unique business case and require no expert coding. With apps, you can go beyond simply improving your bottom line and start transforming your manufacturing operations.

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Benefits of Braincube’s IIoT Platform

IT Engineer Working Analysis using IIoT Platform

Instant access to clean data

Braincube helps you get more value out of your data. Seamlessly leverage and learn from your real-time and Big Data in a single, centralized IIoT platform. Our proprietary algorithms transform your raw data into clean, usable information that is continuously structured in real-time.

Having a continuously updated data stream allows instant visualization for charting, graphing, and reporting; a thorough understanding of how to improve your processes with prescriptive methods on what to change; and empowers your teams to take on short-term and long-term projects for continuous improvement.  

Strategically digitize your operations

Braincube’s IIoT Platform was designed to integrate with your existing architecture and serve as a standalone platform. Since our apps are ready-to-use low-code/no-code solutions, Braincube can support your company initiatives from day one.

Need something custom? Our IIoT platform also enables custom app development with our open API. You can also leverage Python libraries to build and deploy quickly. Rather than spend time gathering, cleansing, and contextualizing data, start using data to improve processes and increase your knowledge.

Two engineers examining the IIoT Platform
Data connected through an IIoT platform

Designed to scale globally

With more than 250 companies using Braincube across 30 countries, we understand the importance of multiplying your newfound knowledge. 

Our customers tell us that they consistently uncover new uses and savings from Braincube’s IIoT Platform, app suite, and Digital Twins—all of which can easily be implemented at every location around the world. And, since Braincube increases collaboration across sites, centralized data management makes it easier than ever to augment your operations.

The Braincube Digital Twin for manufacturing

Our Digital Twin is the perfect digital replica of each of your products. Production data from IT/OT sources are aggregated and structured in such a way that you know the exact production conditions—even the weather—for each of your finished products.

As they are constantly updated with the latest information, you can use your Digital Twins to monitor and adapt in real-time. When you’re ready to dive deeper, Braincube’s ready-to-use app suite leverages AI analyses to provide you with real-time recommendations.


Braincube is a tool that structures time series data, enabling users to quickly identify and analyze opportunities to improve their manufacturing process.  

Braincube Customer

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What is an IIoT Platform?

Manufacturers need to easily access data from their production processes to take advantage of the new inroads available with Industry 4.0. Driven by the need to identify, analyze, and optimize industrial data, many manufacturers are considering (or have already adopted!) an Industrial Internet of Things (IIoT) platform to leverage the power of Machine Learning, AI, and Big Data discoveries.

IIoT Platform considerations

While there are plenty of examples of best practices for implementing an IIoT platform, these five less-obvious approaches may be the key to helping drive a successful implementation. From choosing the right platform to multi-facility rollouts, these considerations can help you transition from a successful implementation to a successful Industry 4.0.

Scaling your IIoT Platform

Implementing an IIoT platform doesn’t stop with the first production line, business unit, or facility. Scaling your IIoT solution across departments, regions, or even product lines is the key to reaching optimal efficiency. These considerations for your corporate rollout are important to evaluate even before you begin your digital transformation.

IIoT cybersecurity

As organizations move more of their data to the cloud, you’ll need an IIoT platform to protect you against cybersecurity threats. From the way your platform processes your data to how your employees access that data, cybersecurity cannot afford to be an afterthought in your journey to Industry 4.0. Learn some of the best practices in protecting your organizational data against imminent cybersecurity threats.


Edge or Cloud IIoT Platform

Oftentimes, companies seek a cloud or edge solution in their pursuit of Industry 4.0. With so many IIoT platform options on the market, it’s important to first understand your current state, your future goals, and your timeline. Ultimately, the solution is not either cloud or edge—it is based on your goals.