Removing the background with an unmatched quality – How Kuvatilaus.fi and Silo AI use the latest methods in computer vision for flawless results.
Together with Tekniska Verken, we developed a robotics and computer vision-based solution that learns from each defect, and continuously improves the level of automation.
Canadian scenario generation company Riskthinking.AI and Silo AI co-created an AI solution to automatically extract climate risk data. We built a natural language processing-powered solution, that brings out insights related to one consequence of climate change: the rise of sea level.
In close collaboration with Helen, our experts developed an AI solution that predicts energy consumption levels based on historical data and local weather forecasts, reducing errors by a third.
Webinar recap: Computer vision for situational awareness.
Dmitry Kan is a Lead AI Scientist in our Helsinki office, who can be described as a technical leader, founder, software engineer, researcher and entrepreneur.
Document understanding means extracting useful information about the document, and with a model called LayoutLM, it is possible to take into account both textual content and its structure as well as the visual aspect of the document.
To better serve our international client base, we’re next year focusing on building out AI labs in new markets, with Teppo Kuisma as our lead for internationalization. Teppo joins us after having spent a few years in the Bay Area, and is now focusing full speed on building new sites to create valuable long-term partnerships to better serve both new and existing international clients.
Silo AI teamed up with intelligent port platform company Awake.AI to develop machine learning and computer vision -powered AI solutions that improve the situational awareness at ports.
Silo AI helped Finnair build a solution that improved situational awareness of air traffic, enabling the airline to predict possible disruptions to air traffic more accurately.
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