Why we're building DataAstra
The problem we're solving
Data engineers spend 40% of their time debugging pipelines that failed because a column was renamed, a schema changed, or an AI-generated query referenced a table that doesn't exist. None of these failures are inevitable. They're the result of building data infrastructure without a type system.
Every existing platform treats data pipelines as configuration files or scripts. Great Expectations checks quality after the fact. dbt has lineage as metadata, not a compile-time guarantee. Dagster orchestrates but doesn't understand schemas. And AI is bolted on top of all of them as a text generator — not as a verified compiler.
DataAstra is the first platform where pipelines compile. Where lineage is a proof, not a post-hoc annotation. Where AI generates into a type system and the compiler catches hallucinations before they become incidents.
How we build
Our roadmap is public. Our GitHub org is public. Our weekly demos are public. We build with our community, not for them.
We will never ship a feature that makes the platform less deterministic. Performance is table stakes. Correctness is the product.
AI isn't a chatbot we've added. It's the authoring engine, the review agent, the documentation writer, and the on-call assistant. It runs the platform.
The journey
Come build with us
We're a small team building something ambitious. Join the waitlist, follow the build on GitHub, or reach out directly.