BoberIT

We are team of Arrival alumni proficient in Computer Vision and MLOps with focus on autonomous navigation and MedTech solutions. We provide E2E solution for the whole SDLC of your product from design and implementation phases to building CI/CD process with automated functional and non-functional testing included.

web: http://boberit.com
telegram: https://t.me/beaverit
linkedin: https://www.linkedin.com/company/boberit/

We do not only provide academia-level R&D in computer vision field, but we also know how to test those algorithms in CI/CD pipelines using obfuscated customer data.

What is MLOps and how MLOps can help your business:

MLOps stands for Machine Learning Operations. MLOps is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them.

• MLOps aims to unify the release cycle for machine learning and software application release.
• MLOps automates testing of machine learning artifacts, such as data validation, ML model testing, and ML model integration testing
• MLOps enables supporting machine learning models and datasets to build these models as first-class citizens within CI/CD systems.
• MLOps with us is a language-, framework-, platform-, and infrastructure-agnostic practice.

We provide custom end-to-end machine learning solutions including Computer Vision algorithms implementation and AWS-based infrastructure to run your data.

Our combined experience in the field around 100 years. Minimum education degree is masters in Computer Science. One of our colleagues is PhD in Physics and Mathematics.

After leaving #arrival, our record in ML and ML-ops field has 2 projects:

1. Ice conditions monitoring for nuclear icebreaker information system
2. Genomic data analysis for UK based startup