Numlabs

Numlabs partnered with Apriside, a software company that caters to the oil and geothermal industries, to enhance their AI and machine learning capabilities. The team from Numlabs worked with Apriside's developers to create machine learning algorithms using Python libraries. These algorithms were designed to predict sequences of steps for planners based on the data and requirements provided by Apriside. Throughout the engagement, which started in November 2019 and is still ongoing, Apriside has invested around $60,000-$70,000 in Numlabs' services. The team composition from Numlabs varied depending on the project stage, with roles ranging from testers to project managers to developers.

Testasy, an at-home diagnostics platform, hired Numlabs to develop its entire IT infrastructure. Numlabs built a custom solution for Testasy that allows multiple types of users to interact and has an extensive database of patients. The platform also has API integrations connected to multiple governmental and certificate production systems, which trigger different actions depending on the test results. Testasy has invested around $30,000 in Numlabs' services since the start of the engagement in May 2021. The project is ongoing, with Testasy planning to continue its partnership with Numlabs for future projects.

Numlabs was hired by the Maritime University of Szczecin's Geodesy and Offshore Survey Department to provide training in machine learning and deep learning. The training was divided into three phases, including a week-long stationary training on Python programming, two months of online programming problem sets with individual feedback, and another week-long stationary training covering best practices in programming and teamwork in IT, fundamentals of machine learning, and selected problems of deep learning. The university selected Numlabs for this project through a tender inquiry procedure, based on a strong recommendation from a previous client.