Industrial AI.

Qamcom and Allen + Clarke have developed ThematIQ — a secure, sovereign AI platform designed to help expert analysts qualitatively analyse large volumes of text quickly, with full transparency, high security, and high levels of accuracy.

Qamcom is proud to contribute to an exciting project in collaboration with the Swedish Forest Agency (Skogsstyrelsen) and Spacemetric. Monitoring clear-cuts is critical for sustainable management, but traditional optical satellite methods face challenges from weather and seasonal changes. To address this, Qamcom together with Spacemetric are developing an AI-driven solution using radar satellite data for consistent and accurate forest monitoring year-round.

Mabtech and Qamcom have collaborated on R&D since 2016, with the Iris and Astor platforms among the joint innovations. The EYRA platform marks a new chapter — a no-contact, automation-ready instrument built around a purpose-built confocal microscope, designed to redefine what's possible in multiplex analysis.

Mabtech is a Swedish biotech company specialising in immunoassays for research and clinical diagnostics. Their FluoroSpot, ELISpot, and FociSpot readers are used worldwide in vaccine development and disease characterisation — and making them more accurate and easier to use directly translates to faster research outcomes.

Power lines stretch over terrain that's costly and slow to inspect on foot, but vegetation growing too close to them is one of the leading causes of grid failures. The job was a fit for drones — if the onboard AI could detect both the lines and the obstacles around them in real time.

Construction sites are some of the most dust-heavy workplaces, and the type of dust depends on the type of tool being used. Classifying tools by the cloud they generate makes it possible to regulate exposure automatically — if the AI can identify them in real time.

Qamcom's AI Platform brings edge intelligence to the urban environment, turning everyday sensors into systems that can see, classify, and act. This demo shows how the platform handles real Smart City scenarios.

The shift to smart cities depends on understanding how traffic actually moves, but advanced traffic analytics often comes with hardware costs that don't scale. The challenge was simple to state and hard to solve: deliver the accuracy of a high-end system on a low-cost edge device.

Indoor air quality affects health more than most people realise, but consumer gas sensors today can only roughly identify what's in the air. Pushing past that limit required applying machine learning to raw sensor signals — not just thresholds, but pattern recognition.

Wildfires demand rapid action, and early detection is critical. INCA set out to build an AI-powered camera system that spots flames and smoke in environments where traditional systems fall short — protecting forests and easing the burden on firefighters.

Hip surgery is one of the most common procedures in the world, yet most surgeons still rely on 2D X-rays for planning. Ortoma set out to change that with an AI-powered 3D imaging platform built on CT data — and turned to Qamcom for the software foundation.

Mabtech is a Swedish biotech company. Founded by researchers in 1986, the Stockholm-based company is still run by researchers today and is internationally renowned for the tools it has developed for life science research, in particular in the field of immunology.

Mabtech is a leader in providing monoclonal antibodies and kits suitable for ELISpot and FluoroSpot analysis. Used by scientists worldwide to study immune responses in, for example, infectious diseases, cancers, allergies, transplantations and vaccine trials, the kits required third party readers for spot analysis. These readers lack the accuracy and precision needed in analysing spots secreted by single immune cells. Furthermore, they require calibration by the user – a step which will invariably add an element of subjectivity to the analysis and might therefore compromise the accuracy of the results.

Passionate about biomedical research and ensuring extreme accuracy in the discovery process, the Mabtech team felt that the situation could be improved.

"In order to realise our goal of fundamentally redefining spot reading technology, we needed a partner who could not only bring the technical skills we required, but who would also truly share our passion for the project. Qamcom did both, overcoming significant development challenges and delivering some brilliant enhancements to the product that even we had not thought of. Working with Qamcom, we were confident that there were no boundaries to what we could achieve together."
Christian Smedman, CTO, Mabtech

Stockholm has set its sights on becoming the world's smartest city by 2040. Reaching that goal means measuring and managing traffic in ways traditional infrastructure can't — and doing it without bolting a new sensor system onto every intersection in town.