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.
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.
Together with the solar power and battery installer Solarvoima, CheckWatt is now providing grid support services to the Finnish transmission system operator Fingrid.
Solarvoima has completed the installation of its first Battery Energy Storage System (BESS) for the Finnish balancing market at surface treatment company Alu-Releco’s facility in Riihimäki. Connected to CheckWatt’s virtual power plant Currently, the battery will be integrated into a network of aggregated resources to provide balancing services.
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.
With the help of CheckWatt, hundreds of households and companies in the Gothenburg and Mölndal areas are participating in the local flexibility market this winter, thereby contributing to an efficient electricity supply.
Read the full press release (in Swedish) issued by CheckWatt.
MATISSE is a European research project bringing together 30 partners from seven countries to develop an advanced framework for efficient engineering and validation of industrial systems using Digital Twins.
By integrating Digital Twins with model-based, data-driven, cloud technologies, MATISSE aims to simulate, test, and predict system behaviours, enhancing both productivity and quality of industrial processes.
CNet is responsible for one of the use cases on Digital Twins for critical infrastructures. This will advance the existing work that CNet Group is doing on Digital Twins for bridge structures, machine learning and cloud technologies.
The project is financed by HORIZON-KDT-JU (Key Digital Technologies Joint Undertaking, now Chips Ju) and Vinnova with a total budget of €5,9 million. Apart from Sweden, participating countries inlcude France, Austria, Italy, Portugal, Finland, and Turkey.
Organised by the strategic innovation programme, Infra Sweden, the conference showcases the results from funded projects on promoting a sustainable Swedish transport infrastructure.
Results from IoTBridge, a spin-off of the project iBridge, is presented by Jacob Nyman in the afternoon, in the session: AI based surveillance system for condition monitoring of railway bridges (in Swedish: AI-baserat övervakningssystem för tillståndsbedömning av broar).
The conference takes place in Stockholm on 23 October 2024. See the full agenda.
Many wind turbine towers are approaching the end of their design life, which is typically 20-30 years. However, by using the latest techniques and knowledge from structural health monitoring, it is possible to optimise the operation of the turbines and safely extend their lifetime, and thereby also the revenues.
IoTBridge, SM Teknik and researchers from KTH Royal Institute of Technology have joined forces to develop an integrated system for monitoring wind turbine towers, providing condition assessment, remaining life estimation, optimised operation and decision support.
The first wind turbine tower to be equipped with the monitoring and assessment system was the Långlöt Borgholm Wind Turbine on the Swedish island Öland. In May 2024, the team mounted accelerometers, inclinometers and strain gauges in strategic positions of the tower, in collaboration with owners Lundahl & Hall. Data from these sensors are now continuously streamed back to the IoTBridge cloud where the analytical engines are processing the data and correlating them with the energy production data (kWh, windspeed, active power, pitch angle, rotor speed, etc.) from the built-in SCADA (Supervisory Control and Data Acquisition) system.
From now on, the machine learning system will find the optimal energy production level considering the structural health of the tower, thus ensuring a maximal utilisation of the wind turbine in terms of revenue and sustainability.
Setting up sensors and the monitoring system in the Långlöt Borgholm Wind Turbine – a Vestas V52, repowered 2018 with a tower from early 2000s.
We will be presenting the innovation programme InfraSweden, and how participation led to the commercialisation of IoTBridge.
IoTBridge participated in the InfraSweden project iBRIDGE in 2020-2021 to develop and test new digital solutions that could reduce the escalating costs of bridge inspection, maintenance and repairs, with 35.000 Swedish bridges being older than 50 years. Through a collaborate effort between KTH, Trafikverket, City of Stockholm and IoTBridge, the project developed new methods and technologies for digitalising structural health assessment, and in 2022 IoTBridge was commercialised.
The event takes place in Stockholm on 30 May and is organised by the national association Brosamverkan and Eurokodutbildningar – provider of Eurocode training courses.
To enable grid ancillary services, CheckWatt and Huawei have been working closely together to integrate the Huawei residential batteries with CheckWatt’s virtual power plant (VPP) Currently.
Huawei has a large share of the household market for energy storage in Sweden, and this announcement means a huge increase in the number of batteries compatible with Currently.
This further strengthens CheckWatt’s position as the market leader in providing and aggregating VPP services for the residential market in the Nordic countries, now connecting both large megawatt batteries as well as smaller residential batteries in the range of 5-15 kW.
The PRAESIIDIUM consortium, in which CheckHealth is a partner, is developing solutions aimed at providing real-time prediction of the risk of prediabetes in individuals. The project is now launching its clinical studies to collect more data for the prediction modelling.
To predict the risk of prediabetes, the project uses physics-informed machine learning based on a rich dataset of real-life data, combining registry-based research with behaviour tracking through wearables and nutritional data collection using AI.
To acquire additional bio-clinical data for the modelling and testing of wearable sensors, the project is launching clinical studies in Austria, Lativa and Italy with the following focus points:
Patients with low risk of prediabetes
Patients with metabolic risk factors and
Plasma bio-banking and clinical data collection
CheckHealth is supplying LinkWatch as the backend platform for organising and preparing all collected patient data for analysis together with VoiceRPM for individual nutritional data collection, and solutions for wearable device connectivity.
The PRAESIIDIUM approach to risk prediction goes beyond traditional black-box based approaches by combining mathematical models and explainable AI techniques while improving the prediction performances and reducing the computational time of the risk calculation based on the simulations of the mathematical models.
