Our data scientists and engineers analyze the state of data stack implementation. We then analyze your technological and business goals and provide an action plan to develop and scale your data infrastructure.
We develop data engineering solutions tailored to your unique business processes and significantly improve them.
Under our vendor-agnostic policy, we transfer our data management knowledge directly to you. Get full team augmentation and outsourcing services for all of your data projects.
We will help you implement robust digital transformation programs for your data teams. Our trainers develop custom education programs and work with your HR teams to define requirements for in-house data expertise.
Having a stable, scalable and secure data infrastructure is critical to the success of every data project. We provide you guidance on how to achieve the most effective software data stack and hardware/cloud architecture for your business.
Successful data projects
Team members worldwide
We provided our client's technical support team with a single-window chatbot. This allowed the CX team to search for data and screenshots from multiple sources using a single request. Data sources include Hadoop, GlusterFS, InfluxDB, Elasticsearch, and a custom, in-memory graph DB.Internet / Telecom
We helped our client adapt to new compliance regulations following an acquisition, which included on-wire and at-rest encryption and data access management. For this, we migrated their existing data processes from both bare metal and AWS (EKS, S3, VPC) to Azure-based, cloud-native solutions.Internet / Telecom
We performed data infrastructure discovery and designed a new, layered Data Lake + Data Mart solution. The client's data team then received new data infrastructure based on CDC, Apache Spark, Hadoop, Clickhouse, and Metabase.Altenar | Sports Booking
We chose the managed Greenplum based on the DataVault 2.0 schema as the basis for the new data warehouse. We built data loading according to the ELT scheme using Apache Airflow, Docker, S3, Greenplum, Clickhouse, Datalens, and Jenkins. This allowed us to set up the solution's architecture and help the client scale their teams and transfer knowledge.Marketing Agency
Our B2C patent database search SaaS solution is based on ChatOps and works via Slack. It offers a backend API for integrations and extracts data from the EPO and USPTO databases. The search engine is also based on machine learning and Elasticsearch technologies.Patfinder | Legal