#1 on dbt Labs' ADE Workbench · 94% AI acceptance rate · 10X engineering velocity
FIX BUGS
Pipelines Break. DinoAI Unbreaks Them.
When something's off, describe it in Slack. DinoAI traces the root cause across your warehouse, lineage, and code — then ships the fix as a pull request you can review in minutes.
Build models
From Request to Production Model in One Slack Message.
Describe what you need in plain language. DinoAI pulls the right context from your warehouse, lineage, and docs — then writes the model, tests it in a sandbox, and hands you a pull request.
REFACTOR CODE
Refactor without the Grind.
Describe the refactor you want in Slack. DinoAI extracts the logic, renames the columns, enforces your standards, and updates every downstream model — all in one clean, reviewable PR.
BENCHMARKS
The Undisputed Leader
in Agentic Data Engineering
We benchmarked DinoAI against every serious competitor in the space. The numbers aren't close — and we're showing our work.
Tasks resolved on 43 real-world analytics & data engineering challenges. DinoAI run on Sonnet 4.6. Higher is better.
UNDER THE HOOD
Built for Data Engineering. Not Bolted On.
Generic coding agents don't know which context matters. DinoAI does — because it's built specifically for data work.
1
Connect Once
Wire up your warehouse, repo, lineage, and docs. DinoAI builds a context graph automatically.
2
Ask in Slack
Anyone in your org — finance, marketing, CS — describes the problem in plain language.
3
Review the PR
DinoAI spins up a secure, isolated sandbox, does the work, and hands you a pull request in minutes.
