Data science center of excellence
We unlock the power of AI for commercial, governmental, and research organizations. Our services include consulting, research, development, and implementation
To make the process of data transformation work, data engineers build and operate the data environment keeping infrastructure running properly.
After ensuring that accurate data has been evaluated and interpreted correctly, data analysts synthesize all the insights to create a visual data report.
Data science researchers
Focusing on data and statistics, data science researchers gather, analyze and evaluate a vast amount of data from various sources.They use a diverse range of tools and algorithms to derive insights for businesses.
The main principles of DevOps are – process automation, continuous delivery, and the feedback loop. But when the project involves building and training the ML model, we use a synergy of DevOps and MLOps.
An agile, repeatable process to design, build, and manage delivery
We cooperate with technical universities in the field of:
University curriculum revision
Research lab building
Student hackathons sponsorship
- Computer Vision
- Data Analytics
- Devops / MLOps
Deep neural Networks
Computer vision frameworks
Computer vision libraries
A brief overview of Google MUM: what is hiding in the new algorithmRead more
Discover our open-source lib with a set of instruments for downloading, filtering Sentinel-2 satellite images, and conversion between L1C and L2A products.Read more
Use geospatial data for your company's advantage: this article overviews the definition of geospatial analytics, its use cases, and the main benefits in various industries.Read more