We ensure the right notification and alarms from a range of IoT devices reaches the right person at the right time. The iGT IoT Platform has been tested with remote patient monitoring with as much as 500 million events per sec.
The iGT IoT Platform has been developed with a user centric approach with open standards to ensure integrations are easily done with your select cloud solution. Our platform is modular to fit your needs, ensuring you can grow with the solution. An intuitive user interface makes it easy to integrate new hardware, third-party systems and other software solutions central to your environment.
All our software is easily scalable and can be used by small and medium size companies as well as large organizations, both governmental and private.
IoT has gone from an early stage technology enthusiasm to become more mature as today´s solutions need to handle increased data streams effectively as well as economically.
A key challenge for most IoT Platforms is how data is processed and distributed. Edge processing of data is necessary to ensure that solutions can handle increasing data streams without ruining the IT budget.
The iGT IoT platform is made scalable, and it has been tested in environments with as much as 500 million events per second.
Setting up an IoT solution today is not trivial. There are many choices, and one of the most important features for any type of IoT solution, is how easily the solution integrates across an organization’s other IT infrastructure, systems and solutions.
We have this aspect central to the iGT IoT Platform through our easy cross-platform deployment features. We also have an open standard API library, that easily lets you integrate the iGT IoT Platform with the most common systems and solutions. We keep adding new APIs to our library, so please get in touch with us for a complete list.
Edge Data Processing Enabled
Another key component of IoT solutions, are if they are built to scale. If the data flow is not designed properly, the costs from running the solution soon will sky-rocket. Therefore, we have ensure we process as much data as possible on the edge.
Events are optionally evaluated and processed at the edge, as we sometimes have to react in near real-time. Events are pushed on the event bus. Stream processes listen to the events and process them into insights (could be trivial archiving or advanced machine learning).
Commands are evaluated and processed at the edge, as edge servers typically have access to distributed data that allows them to make decision in near real-time. The request and the response are pushed to the event layer. Stream processes commands as events.
Queries are often simple lookups of precalculated results. We offer a query-first design of databases stored in a database perfect for the result type. The Query Path we use ensures queries received at the edge.
We always keep pushing our R&D activities to ensure we stay on the forefront of new developments in IoT. We are proud and humbled that there are others that like what we are doing, and a couple of the supporters of our activities are the following:
European Commission Horizon 2020 is the biggest EU Research and Innovation program ever with nearly €80 billion of funding available over 7 years (2014 to 2020) – in addition to the private investment that this money will attract. It promises more breakthroughs, discoveries and world-firsts by taking great ideas from the lab to the market. We currently have an ongoing R&D project funded by this program related to the use of Artificial Intelligence in Edge Computing.
The Research Council of Norway invest in research and innovation that builds knowledge for a sustainable future and meets major societal challenges. We are supported by the Research Council of Norway through their SkatteFUNN program.