Pyne builds data platforms and GenAI applications for mid-market companies across Nordics. The stack reveals a Databricks-centric practice (dbt, Spark SQL, Delta Lake, Unity Catalog) paired with LLM tooling (LangChain, CrewAI, Claude, Semantic Kernel)—indicating a shift toward embedding AI agents into data workflows rather than standalone analytics. Hiring is senior-weighted across data and engineering, focused on scaling a Databricks practice and design services around lakehouse architecture.
Pyne is a 11–50 person consulting firm founded in 2022, headquartered in Copenhagen. They work with companies to architect data platforms, automate workflows with AI agents, and operationalize GenAI applications. Projects center on Databricks lakehouse design, data platform buildout, and AI-powered automation. The team avoids over-engineered solutions; they start with business problems and prioritize implementations that deliver measurable impact from day one. Services span ETL, platform architecture, and AI adoption strategy.
dbt, Snowflake, Databricks, Python, PySpark, Delta Lake, and cloud infrastructure (Azure, AWS, GCP). They layer LangChain, CrewAI, and Claude for GenAI automation and use Power BI for visualization.
Data platform architecture, ETL, Databricks lakehouse design, GenAI agent automation, and cloud data infrastructure on Azure, AWS, and GCP.
Other companies in the same industry, closest in size