Buster is an AI platform for self-serve analytics, purpose-built for data teams.
How it works
Spin up an AI data analyst, with a single command
Document your data modeling repo with AI and empower users to explore data on their own.
Step 1: Index & document
Index & document your repo with `buster init`
1
Connect your modeling repo
Connect your dbt, SQLMesh, or Dataform repo to Buster. Buster is transformation-platform agnostic and connects directly to your git repo.
2
Run `buster init`
Buster will take a few minutes to explore your repo & gain a deeper understanding of your data models.
3
Review PR
Buster will write robust documentation files (.yml and .md files within your repo) and send you a pull request to review/merge.
Step 2: Give everyone an AI data analyst
Enable business users to explore data on their own
1
Augment your data team with an AI data analyst
With a deep understanding of your data models, Buster can handle data requests for you. Business users can ask Buster questions in plain english and get back detailed reports in 1-2 minutes.
2
Real analysis, not just text-to-sql
Buster is an intelligent "Deep Research" agent. For each request, Buster will:
thoroughly explore relevant docs
run lightweight queries to validate assumptions
adapt as it gets new information
return charts, dashboards, or notebook-style reports
Step 3: AI-powered feedback loop
Improve your models over time with background agents
1
Receive Slack alerts when documentation is lacking or unclear
Receive Slack alerts whenever Buster lacks the required documentation to answer a user's data request.
2
Respond & clarify
Use `@Buster` directly in slack to clarify and kick off background documentation agents.
3
Review PR
Background agents will document your clarifications, make model improvements, and send you a PR for review.
Customers
Top companies use Buster to increase data team productivity
Join top companies who leverage Buster to enhance their dbt workflows & get more from their data.
"A lot of data engineers think self serve is a myth. This is actually self serve, for real for real."
Alex Ahlstrom
Director of Analytics @ Angel Studios
"Buster frees me up from the ad-hoc tasks I always had to do, and let's me focus on longer term goals."
Landen Bailey
Data Engineer @ Redo
Enterprise-grade security
Buster is built with enterprise-grade security practices. This includes state-of-the-art encryption, safe and reliable infrastructure partners, and independently verified security controls.
SOC 2 compliance
Buster has undergone a Service Organization Controls audit (SOC 2 Type II).
HIPAA compliance
Privacy & security measures to ensure that PHI is appropriately safeguarded.
Permissions & governance
Provision users, enforce granular permissions, & implement robust governance with ease.
IP protection policy
Neither Buster nor our model partners train models on customer data.
Code-based & git-native
Buster is code based and is managed from your own repo.
Open-source
Buster is completely open-source. It's free to spin up locally.
Watch a demo
A new framework for self-serve, purpose-built for data teams
Turn your data models into an AI data analyst. Empower everyone at your company to analyze & visualize data on their own.
Start using AI agents in your analytics workflows today