Build, monitor, and deploy a SQL API that's trained on your database. Manage security, performance, and access controls from one place.
Buster provides developer tooling and infrastructure to build production-ready text-to-sql APIs. Map semantic concepts, define schema nuances, generate your training data set, and fine-tune your model to write optimized queries.
We integrate with all major databases and data warehouses (Postgres, MySQL, Snowflake, BigQuery, Redshift, and more).
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Generate schema documentation, build out retrieval, define common calculations, and manage access controls across your database.
*A single engineer typically stands up a PoC in 30 minutes.
Fine-tune an LLM to understand the nuances of your database schema. We generate synthetic data for you. You can then can run evaluations over your data set, add to it, and clean it. As your database is being built, it's used in retrieval. Once your dataset is built out, we'll use it for fine-tuning. This ensures production-grade performance.
Buster makes it easy to run evaluations, monitor model performance, quickly detect quality issues, and rapidly improve accuracy. Buster also collects user feedback and manages RLHF.
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Deploy as an API with one click and start translating natural language to SQL. Build Buster into your own applications, or use our pre-built UI components. Customize components, colors, fonts, charts, and more with our no-code builder (or bring your own CSS to make it pixel perfect).
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Have other questions? Get in touch with our team via founders@buster.so
We leverage a combination of fine-tuned models, RAG, proprietary ranking systems, and RLHF to reach 98%+ accuracy.
You can connect your database and start testing buster in just a few minutes. Getting production-ready varies. You can fine-tune a model to your specific use case in a few days.
We offer usage-based pricing with volume discounts. See our pricing page for more details.
Buster is built for any database (regardless of size, hygeine, complexity, etc). We have customers that have trained Buster on 600+ tables and they get production-ready results. As a general rule: the larger the database, the longer it will take to get production-ready. The more nuanced & messy the database, the longer it will take to get production-ready.
Buster connects to all major databases and data warehouses. These include Snowflake, Redshift, MySQL, SQLServer, MariaDB, Postgres, Supabase, Databricks, and BigQuery.
Yes. We have a reporting UI that can be whitelabeled and embedded directly into your product. We also have chat widget components that you can use as well. See our embedded analytics page for more info.
Buster will write queries according to however you train it. You can train Buster to do things like reference indexes, set limits, etc. Training is extremely flexible and gives you complete control over the model.
Getting started is simple. A single engineer typically stands up a PoC in 30 minutes and is production-ready in days.
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