About
From data apps to AI agents
We started in data engineering: orchestration, query engines and distributed processing. Today we apply that foundation to what's next: AI agents and apps that work on real data.
SnowDataApps was born in the data world. We help teams automate ingestion, monitoring and processes on their data platform, and we have built apps published on Snowflake Marketplace.
With the arrival of large language models and standards like Model Context Protocol, we saw that the bottleneck is no longer the model: it's secure, reliable access to company data and systems. That's exactly the problem we know how to solve.
That's why today we build MCP products on Airflow, Trino, Spark and YARN, along with AI agents and apps, without leaving behind the data engineering that makes them work.
Principles
How we make decisions
Problem before technology
If a process is better solved without AI, we'll tell you.
Secure by design
Least privilege, data that stays where it belongs and every action logged.
Measurable outcomes
We define metrics up front and evaluate quality continuously.
No lock-in
The code and infrastructure are yours. We document so your team can carry on without us.
Process
How we work
- 01
Discovery
We map the process, data and systems, and define what to measure and where AI adds real value.
- 02
Prototype
A fast, focused working prototype on your data to validate before investing further.
- 03
Production
Security, permissions, evals and monitoring. Deployed on your infrastructure or ours.
- 04
Evolution
We track usage and quality, tune, and add capabilities as your team adopts it.
Have a process AI could handle?
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.