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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

New project on cyber-physical systems

CNet is participating in the MONA LISA project which aims to improve cyber-physical systems (CPS) by integrating hardware-software co-design across the system lifecycle, connecting and improving existing monitoring tools with visual analytics.

The integrated system analysis, connecting hardware, software and information from models in a more seamless flow, will help to improve system safety, diagnostics and validation across different CPS environments.

The project works with several use cases, with CNet contributing to the ”infrastructure, logistics and mobility” use case with Smart Bridge Monitoring. The goal is to enable more efficient development, deployment and operation of smart bridge monitoring solutions, extending the usable lifespan of bridges and supporting safety-critical maintenance decisions. Other use cases cover High-Tech Equipment Operations.

The MONA LISA project is funded by ITEA, the Eureka Cluster on software innovation, and Vinnova, Sweden’s Innovation Agency. It runs from October 2024 through September 2027.

Read more about MONA LISA: Monitoring & Analytics for the Whole Lifecycle, from Concept to System Models, Hardware & Software. Click the image to see the project leaflet.

CNetNew project on cyber-physical systems

Strategic V2G collaboration between CheckWatt and Chery Green Energy

CheckWatt and Chery Green Energy, part of Chery Automobile, have entered a strategic cooperation for large-scale European deployment of home management systems integrated with vehicle-to-grid (V2G) technology.

The integration of V2G-supported EVs by Chery Green Energy will enable CheckWatt to rapidly roll out residential V2G flexibility solutions into large-scale virtual power plant networks.

The two parties have signed a memorandum of understanding that also cover battery repurposing solutions for utility-scale wind and solar farms, as well as large-scale EV charging stations, thus further expanding the flexibility portfolio.

Read the full press release below, issued by CheckWatt.

CheckWatt is a spin-off company from CNet and Sweden’s largest independent aggregator of flexible energy sources.

CNetStrategic V2G collaboration between CheckWatt and Chery Green Energy

Danish homes and businesses now help the grid

For the first time, batteries owned by Danish households and companies have provided ancillary services to the Danish grid operator, Energinet, through CheckWatt.

On 31 October 2025, the batteries delivered ancillary services, which entail rapid adjustment, either adding or reducing power to keep stability.

Usually, households cannot participate in the balancing markets due to their low volumes, but through pooling assets, CheckWatt aggregates many individual battery systems into a single virtual power plant, enabling participation.

Click on the image to read the full press release, issued by CheckWatt.

CheckWatt is a spin-off company from CNet and Sweden’s largest independent aggregator of flexible energy sources.

CNetDanish homes and businesses now help the grid

IoTBridge monitors Spanish bridge

As part of Europe’s Rail partnership and the IAM4RAIL project, IoTBridge is providing the bridge monitoring system for collecting, aggregating, analysing and visualising sensor data from the Tajo-Segura Trasvase bridge, located along the Madrid–Valencia line.

By installing several sensors, the bridge is continuously monitored to understand its behaviour when trains pass, such as strains and vibrations. The data are analysed and transformed into actionable insights through advanced algorithms, enabling the platform to detect even slight deviations that might indicate issues with the rail structure or the train.

The measurements are carried out in collaboration between the Spanish railway infrastructure manager Adif, the Swedish Transport Administration Trafikverket and KTH Royal Institute of Technology, the latter of which has worked with IoTBridge on the development of the monitoring platform.

The monitoring will not only help enable more proactive maintenance of the bridge but also support future regulations for railway bridges in terms of cost-effectiveness and safety.

Read more about the project on Trafikverket’s website (in Swedish).

CNetIoTBridge monitors Spanish bridge

Preventing type 2 diabetes

Find the catalogue on the project website

The PRAESIIDIUM project, in which CheckHealth is a partner, has issued a catalogue about the project and its prevention of type 2 diabetes.

The catalogue presents the challenges, breakthroughs, and impact of PRAESIIDIUM and features a section about CheckHealth and its AI health application VocaVital, which uses AI-powered phone interviews to support patients and monitor their health.

Try out the AI Health Assistant demo, available on https://vocavital.ai.

The AI Health Assistant currently supports 11 languages, with the language support in the speech-to-text and text-to-speech components constantly improving.

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

CNetPreventing type 2 diabetes

MATISSE plenary meeting in Rome

From 25-27 March 2025, CNet joined other consortium members of the MATISSE project for a plenary meeting in Rome.

It was an intensive few days with strategic workshops, technical planning, and interactive sessions to strengthen the MATISSE framework for model-based engineering of trusted Digital Twins for industrial systems.

CNet contributes to this work by managing the use case on Digital Twins for critical infrastructures.

MATISSE consortium in Rome ©MATISSE Project. Click to read the full summary on the project website.
CNetMATISSE plenary meeting in Rome

CheckWatt’s revenue more than doubled

The annual report shows a revenue of 277 million Swedish kronor in 2024, which is an increase of 146 percent from the previous year.

CheckWatt’s business largely consists of services that enable batteries, solar panels, and other energy resources to contribute advanced capabilities to the energy system and receive financial compensation for doing so. Consequently, a significant portion of the turnover is revenue for CheckWatt’s approximately 15,000 private and corporate customers.

Read the full press release below, issued by CheckWatt.

CheckWatt is a spin-off company from CNet and Sweden’s largest independent aggregator of flexible energy sources.

CNetCheckWatt’s revenue more than doubled

VocaVital – your AI health assistant is just a phone call away

By combining the latest generative AI, speech technology and telephony, CheckHealth has created a digital application for patient health monitoring with the most natural and intuitive user interface possible: human conversational speech over the phone. Neither apps, downloads nor technical knowledge is required. Try out the assistant at VocaVital.ai.

Supporting patients in monitoring health
Developed for use in a clinical study on diabetes and dietary habits as part of the PRAESIIDIUM project, VocaVital.ai demonstrates how AI-powered phone interviews can be used to support patients and monitor their health in a highly efficient manner.

The VocaVital application consists of a portal that care teams use to easily design and schedule the patient interviews. The AI assistant then conducts regular phone interviews for each patient according to the specified schedule. All interviews are automatically transcribed, analysed, and insights are delivered to the care teams.

The VocaVital portal is used by care teams to design, schedule and manage patient interviews

– Imagine having the resources to call every patient and answer every patient call. The technology is improving very rapidly. Therefore we believe that the VocaVital AI Health Assistant will be able to perform any phone call that a human can, says Mattias Hällström, Business Developer at CheckHealth and continues:

– Moreover, the assistant will be able to analyse and efficiently extract important health information from the patient that can be transferred to existing care systems.

Looking for partners
The purpose of VocaVital.ai is to showcase the commercial potential of the developed technology. CheckHealth is currently looking for a partner interested in bringing AI-powered phone interviews closer to the European healthcare market. For more information, contact CheckHealth at: contact@vocavital.ai.

CNetVocaVital – your AI health assistant is just a phone call away