Services

Applications

Products, tools and AI and machine learning solutions that work with your organization’s data.

  • Data layer for B2C, B2B and internal applications
  • Data APIs and real-time processing
  • Database performance and cost
  • AI agents on your own data
  • RAG and semantic search
  • Machine learning and predictive models
Usual stackPostgreSQL, MongoDB, Redis, pgvector, LangChain, scikit-learn

Platforms and integration

We build the foundation that brings together, organizes, stores historically, and moves data between systems, so it is available when teams need it.

  • Data warehouses, lakehouses and data lakes
  • Data modeling and semantic layer
  • Self-service access for non-technical teams
  • ETL / ELT pipelines
  • Streaming and event-driven architectures
  • System integration
Usual stackSnowflake, BigQuery, Databricks, dbt, Airflow, Kafka, Supabase, Redshift

Operations and optimization

We operate and evolve existing data systems to improve their reliability, performance, cost, security and ability to scale.

  • Optimization of existing platforms
  • Cloud cost reduction
  • Data quality and observability
  • Cloud infrastructure as code
  • CI/CD and DataOps
  • Security, access and data governance
Usual stackAWS, Google Cloud, Azure, Terraform, Kubernetes, Datadog

Assessment, design, documentation, and knowledge transfer are embedded in all our projects.

See how we work