Turn data into knowledge and business value
We design and build comprehensive data platforms tailored to handle large volumes of data and integration with AI/ML models. We leverage technologies such as Apache Spark, Kafka, Airflow, dbt, and cloud-native solutions like BigQuery, Databricks, and Snowflake. Our architecture enables secure, fast, and scalable data processing—from ingestion and transformation to sharing data for further analysis and automation.
We deliver proven analytical solutions that support business operations and strategic decision-making. We design and implement data warehouses and reporting layers using tools such as Microsoft SQL Server, Oracle, Snowflake, Power BI, Tableau, and Looker. We assist with data standardization, ETL/ELT optimization, analytical model design, and the creation of executive dashboards.
We carry out data migration projects and entire analytics environment transitions to the cloud (Azure, AWS, Google Cloud), as well as build hybrid solutions that combine on-premises infrastructure with cloud services. Our services include architecture design, data migration, service configuration, security, and environment automation. We always tailor our approach to the client’s technical requirements and constraints—supporting both cloud-native and cloud-ready development paths.
We provide full operational support for deployed data environments—from platform administration and task automation to monitoring, compliance, and security. With a flexible approach (remote or on-site), we ensure operational continuity, rapid incident response, and performance optimization. Our specialists can also support client teams as part of integrated DevOps or DataOps units.
