🌟 What is the unique selling point of your platform?
The unique selling point of our platform is, that the user owns the data generated by the app, not the app developer. This means that, as a user, you have full access to your data and can create custom dashboards directly on the platform—regardless of whether the app comes from Festo, Siemens, or any other provider.
🌟 How do you ensure the security of your end-to-end solutions for IoT applications, especially regarding data transport and remote access?
Yes, we understand and know the requirements for security and the restrictive wishes of customers. But time does not stand still and we enable many more application options in a security shell than simply transporting data to “the cloud”. Our focus is on user-friendly end-to-end solutions for you and your customers.
These solutions can be created by you and your partners and are packaged in the form of secure and easy-to-use “IoT apps”. Such an IoT app contains data collection, cloud data histories and dashboards in one package, ready for direct use by you or your customers without further complex cloud provisioning and configuration.
The prerequisites for the legal requirements and security requirements should not be a technical problem on our side, as we use state-of-the-art architectures. Who and whether anyone activates remote access and performs software updates can be controlled by us via authorizations. For you, that would be the customer!
🌟 How has your company conducted security assessments for your software platform, and what measures have been taken to ensure cybersecurity?
We also take the requirements for software development very seriously. For example, we have had automated integration and unit tests for a long time. So far, we have only carried out PEN tests on an ad hoc basis with the help of external services (the last test was very positive).
I'm pretty sure that as a young team, we are better positioned here than some of our big competitors with a “good name”. We have already had some interesting discussions. Incidentally, our SaaS solution also passed the security screening for IT at Continental AG.
One advantage of our platform is that an end-to-end function can be implemented entirely within the platform. This means that edge functions, data and analysis and dashboarding processes can be encapsulated in an IoT app across infrastructure boundaries. This enables robust and secure maintenance in the operation of the overall system.
In addition, we can operate very different solutions harmoniously side by side. From classic condition monitoring and custom retrofit sensors to computer vision apps with custom object recognizers and real-time video streaming via secure relay tunnels for service functions.
🌟 How do I get an app for my specific application?
The choice is yours:
Internal staff: if you have your own internal development team, having your own staff develop the apps can be advantageous. Internal development offers the opportunity to fully control development resources and react quickly to changes.
External consultants: External experts often bring specific know-how and experience, especially when it comes to IoT development. They can bring a fresh and objective perspective to your project and offer innovative approaches to solutions.
Our role: Regardless of your decision, we are at your side as a partner. If you prefer external consultants, we have a network of quality experts who are ready to fulfill your requirements. We can help you choose the right consultants and ensure you get the best possible support.
Develop apps from anywhere. Directly on the real application. Instead of professional programmers, even engineers, because the IoT Studio reduces the complexity of app development.
🌟 Do you offer a lightweight IoT stack that runs on ARM Cortex-M, is battery-optimized and in addition to transmitting sensor data, can also handle the other direction, i.e. device configuration?
ARM Cortex-M: Basically, our system runs on components of size pi-zero and slightly smaller. Any LinuxOS can be used (also on armv6).
Lightweight: Our agent binary that runs on the device has a memory footprint of only about 20MB and runs CPU efficiently. However, a docker runtime is also required on the device if you want to install functionality in the form of docker images (=apps).
Battery-optimized: The agent requires only minimal resources on the system. However, a Linux / Docker system usually cannot keep up with embedded systems in terms of power consumption.
Communication: The agent enables both directions. Extraction of sensor data and device configuration. (We use the WAMP protocol)
we are characterized above all by the following points:
Particularly simple UX, which can also be used by non-(programmers/DevOps).
Integrated cloud development environment specialized in edge development.
Only existing fully integrated industrial AppStore with third-party access (enables upselling of digital services to your clients)
Automatic separate data storage for your clients incl. dashboarding per client. (Would have to be shown)
🌟 Actually, we have a recent demand about diesel consumption. We work with a bunch of different wheel loader manufacturers and are looking for a simple solution to measure our spending. Hope you can provide a practical and affordable solution. Thanks
We can provide a fleet solution for this task based on the IoT Studio. For this two main ingredients are required:
Hardware: A small industrial PC would need to be installed into the vehicle and connected to the OBD port of the vehicle. There are standard components for such a device, depending on environmental requirements (e.g. water and shock resistance, CPU power for advanced functionality). The devices would be registered with the IoT Studio. Every aspect of the hardware can then be managed by the fleet owner remotely through the platform.
Software: There is a ready made App for OBD reading that can be remotely deployed to the devices. The App would read the fuel consumption data and collect it in a cloud data store per fleet. The app comes with a dashboard showing the aggregated data of the fleet. Additionally users can always create custom dashboards on all of the collected data with the integrated dashboard builder.
The charm with this solution is that additional functionality can be deployed step by step (e.g. GPS tracking, Weather conditions, Computer Vision AI solutions, ...) just by adding additional apps.
What's the best way to get started with IoT Studio?
First of all, get things moving for little money.
What is somehow small enough, but still valuable in terms of results for you?
Find an IoT speedboat project where you can
produce tangible results,
have hardly any uncertainties,
cannot miscalculate
New technologies are bringing about change in the business world. If you want to be part of this without investing in your own staff, please contact me.
