Artificial Intelligence

All posts tagged Artificial Intelligence

New product: InstaSupport brings high-precision AI to everyday customer interactions

We’re pleased to share some news following the successful conclusion of the Praesiidium project: we’re launching our new AI Customer Service Platform, InstaSupport.

Bringing Praesiidium’s AI breakthroughs to instant customer support

As detailed in our latest blog post, the three-year Horizon Europe project Praesiidium has developed a groundbreaking real-time AI tool to assess prediabetes risk. Using physics-informed machine learning, the system integrated wearable sensor data (glucose, bioimpedance, heart rate), family history and clinical inputs to deliver accurate, actionable predictions that empower early lifestyle interventions.

The project also advanced conversational AI through CheckHealth‘s VocaVital, an AI-driven voice assistant. VocaVital conducted structured phone interviews, automatically transcribed nutritional data and delivered insights to care teams, all securely managed via the LinkWatch platform. These innovations demonstrated that AI can move beyond reactive analysis to deliver proactive, real-time intelligence in complex, data-rich environments.

InstaSupport.ai is the commercial spin-off of these learnings. Built on the same foundational technologies and methodologies developed in Praesiidium, it brings a high level of AI precision to everyday customer interactions.

Advanced prediction, voice and chat intelligence

InstaSupport.ai is an affordable, easy-to-use Customer Service Platform designed for businesses that want to deliver fast, accurate and proactive support at scale.

Key capabilities include:

  • Real-time predictive support
    InstaSupport.ai anticipates customer needs and potential issues using live interaction data, conversation context and historical patterns.
  • Conversational AI agents
    Powered by advanced voice and chat intelligence, the platform offers natural, context-aware voice and text interactions that feel genuinely helpful rather than robotic.
  • Seamless data integration and secure insights
    All conversations and support data flow securely into your existing workflows, providing support teams with instant, actionable summaries and analytics.
  • Proactive resolution engine
    The system not only answers questions but also identifies emerging patterns across customers and suggests pre-emptive solutions before tickets escalate.

Whether you run an e-commerce store, a SaaS platform, a telecom service or another customer-facing operation, InstaSupport helps streamline support processes. It can contribute to faster resolutions, improved customer satisfaction and reduced ticket volume through better prediction and prevention.

Visit InstaSupport.ai to learn more, try a demo or start a free trial.

Meets service expectations

The Praesiidium project showed that combining advanced AI (physics-informed models, real-time sensor fusion and secure conversational intelligence), you can solve problems that once seemed impossible. These same capabilities have significant potential beyond healthcare.

Customer expectations continue to rise. People want instant, personalised support, and they increasingly expect companies to anticipate their needs. InstaSupport.ai is designed to meet these expectations, building on the level of AI maturity achieved in a regulated medical environment.

CNetNew product: InstaSupport brings high-precision AI to everyday customer interactions

Praesiidium delivers AI tool for predicting prediabetes risk

The Praesiidium project has successfully concluded, delivering an innovative real-time prediction tool designed to assess the risk of prediabetes in patients. The solution is supported by advanced monitoring technologies, including CheckHealth‘s AI-powered health assistant, VocaVital.

Running from 2023 to February 2026, the project focused on identifying undiagnosed diabetes and enabling early prediction of prediabetes. Its goal was to support timely lifestyle interventions through the use of an AI-based prediction algorithm.

Prediction tool to help prevent prediabetes

Undiagnosed diabetes remains a significant public health challenge, affecting an estimated one in three adults in Europe. Early detection is critical, as prediabetes can often be reversed without medication if addressed in time. This makes accurate and accessible prediction tools essential for preventive care.

The Praesiidium algorithm uses physics-informed machine learning to calculate an individual’s risk of developing prediabetes. It is trained on a combination of clinical data, family history and real-time inputs from wearable sensors that monitor glucose levels, bioimpedance and heart rate.

CheckHealth’s AI-driven health assistant supported patient monitoring

To further support patient monitoring, particularly around dietary habits, CheckHealth developed VocaVital, an AI-driven voice assistant tested in one of the project’s clinical studies. The assistant conducted structured phone interviews to collect nutritional data, which was automatically transcribed, analysed and shared with healthcare professionals as actionable insights.

All collected data was securely managed through the LinkWatch platform, ensuring efficient integration and accessibility for care teams.

Together, these innovations demonstrate how AI and digital health tools can transform early detection and prevention strategies for chronic conditions like diabetes.

CheckHealth is a subsidiary of CNet, providing remote patient monitoring solutions.

CNetPraesiidium delivers AI tool for predicting prediabetes risk

AI platform for CHF patients

CheckHealth together with a European consortium has won a procurement for innovative services in the healthcare sector. The CORRAL consortium will develop and deliver an integrated care platform which allows monitoring of environmental, physical and psychological patient-related variables, and continuous analysis of recorded data and care team inputs. The platform is based on an artificial intelligence system providing decision support to the multidisciplinary care tea and the provision of personalized support and education interventions allowing patients with cronic heart failure (CHF) to self-manage their diseases.

The system will be installed in five European countries – Sweden, Greece, Turkiet, Italy and Portugal.

Peter RosengrenAI platform for CHF patients

IoTBridge Webinar about digitalisation of bridge maintenance

IoTBridge organises in November a Webinar about state of the art solutions for the digitalisation of Bridge maintenance.

From inspections with drones to data based damage detection methods using Machine learning teqniques. For more details visit the announcement:

Peter RosengrenIoTBridge Webinar about digitalisation of bridge maintenance

Grain Cloud aims to increase traceability in agriculture

The magazine Jordbruksaktuellt, Sweden’s largest independent industry magazine in agriculture, published an article about GrainCloud, a new project funded by the Swedish Board of Agriculture via the innovation support EIP-Agri. The consortium, including CNet, consists of seven partners with expert expertise together with the company Skandia Elevator in Arentorp who will develop a solution to meet higher demands from the market on transparency in the value chain of the future and the need to increase food safety on grain-based food through traceability.

The digital storage facility of the future will be able to automatically keep track of the amount of grain that has been taken in from fields, where it is stored, how it has been stored and for how long. It will also be able to track maintenance needs before malfunctions occur and assist farmers with service reminders, says Joakim Larsson, CEO and co-owner of Skandia Elevator. Grain Cloud is primarily designed for new facilities but will also be able to be integrated into older machine systems.

Peter RosengrenGrain Cloud aims to increase traceability in agriculture

IoTBridge closes its first financial year

IoTBridge has now successfully closed its first year of operation. During 2019 the work focused on commercialising the results from CNets different smart city and infrastructure projects Monica, IoTBridge and InfraSweden 2030.

IoTBridge is focused on developing and marketing products and services for Bridge Health Monitoring using IoT and AI technologies. IoTBridge Sweden is a subsidiary of CNet. Read more at www.iotbridge.se.

Peter RosengrenIoTBridge closes its first financial year

IoTBridge publishes new web site

Cnets subsidiary IoTBridge launched today their new web site, www.iotbridge.se. IoTBridge is focused on developing and marketing products and services for Bridge Health Monitoring using IoT and AI technologies.


IoTBridges Edge Gateway offers a reliable and flexible monitoring solution for bridges. It supports both wireless sensors and wired sensors. This greatly reduces the deployment cost of the sensor system. The Bridge Edge Gateway can intelligently make local computations depending on the application needs. Measurements are transferred to the IoTBridge Cloud over standard mobile connections not requiring any expensive proprietary communication solutions.

Peter RosengrenIoTBridge publishes new web site

CNet one of finalists in Fortum AI Hackathon

There are four global megatrends that shape the energy sector: climate change and resource efficiency; urbanisation; new technologies and digitalisation; and active customers. These megatrends will bring profound changes not only to how energy is produced and sold to customers, but also to how it is consumed in our daily lives. Fortum is now looking for novel AI-assisted services for customers’ homes and have organised a hackathon challenge AI Comes Home. CNet has been selected as one of the finalists for this hackathon that will take place 7-8 December. We will participate with a intelligent digital assistant that combines both video and voice input to guide consumers in living a more sustainable life.

Peter RosengrenCNet one of finalists in Fortum AI Hackathon