Service
Data platforms + AI
We come from data engineering, and today we build MCP products on open-source platforms: orchestration with Airflow, queries with Trino and processing with Spark on YARN. An agent is only as good as the data it can reach, and that is exactly what we know how to solve. We also have Snowflake experience, including native apps published on its Marketplace.
- Airflow
- Trino
- Spark
- YARN
- Python
What's included
- Airflow: DAG status, task logs and re-runs with human approval
- Trino: natural-language queries over your catalogs, with read-only permissions
- Spark and YARN: job diagnostics, resource usage and cluster queues
- Data engineering: pipelines, modeling and monitoring
- Snowflake experience when your platform includes it
Typical use cases
Pipeline operations
"Which DAG failed last night and why?" answered with real logs and a proposed fix.
Conversational analytics
Business questions answered with Trino queries over governed data.
Platform support
Spot slow Spark jobs or saturated YARN queues before they affect users.
Let's talk about your use case
Tell us what you want to achieve. In a 30-minute call we'll tell you whether it makes sense, how we'd approach it and what to expect.
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