Nextml is at the forefront of applying machine learning technologies to solve complex problems across various industries. With a focus on custom projects, Nextml collaborates closely with clients to develop tailored solutions that address specific challenges. One notable project involved the unsupervised segmentation of satellite images, where Nextml developed an algorithm capable of distinguishing areas based on vegetation without the need for labeled training data. This innovation has significant implications for environmental monitoring and land use planning.
Another groundbreaking project was the development of machine learning algorithms for detecting damages on railroad infrastructure, in partnership with Infranord and Trafikverket. This solution enhances the safety and efficiency of railway operations by enabling early detection of potential issues.
Nextml also made strides in the industrial sector by improving text recognition in factories for a large manufacturer. By refining the existing solution, Nextml reduced the error rate from 4% to an impressive 0.2%, significantly enhancing operational efficiency.
In the realm of satellite imagery, Nextml undertook a project to make satellite data more accessible by removing unnecessary objects and increasing image resolution. This advancement facilitates easier analysis and interpretation of satellite data, benefiting various applications from urban planning to disaster response.
Furthermore, Nextml has ventured into the legal domain by assisting a large consulting company in automatically detecting requirements in legal documents. This application of machine learning streamlines the tender process, saving time and reducing the potential for human error.
Lastly, leveraging new advancements in connecting text and images, Nextml implemented a large-scale video search solution for a media production company. This innovation allows for effective video search without the need for metadata, revolutionizing content management and retrieval in the media industry.
Nextml's commitment to pushing the boundaries of machine learning technology demonstrates its dedication to delivering impactful solutions across diverse sectors.
