Bringing in-database ML to

Airtable

Bringing

Airtable

to the database

MindsDB introduces ML to the data’s source – inside the database – to empower professional and non-professional data teams to achieve their goals quicker, and at lower cost.
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Airtable
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Direct is better. MindsDB enables prediction and analysis, and the creation of ML workflows, directly from

Airtable

. For data teams, this means managing exploration, training, versioning, and inference from a single interface.

Direct is better. MindsDB enables prediction and analysis, and the creation of ML workflows, directly from the database. For data teams, this means managing exploration, training, versioning, and interference from a single interface.

Faster time to market icon

Faster time to market

  • Quickly build an integrated ML system operable in-production, in-database.

  • Simplify the most cumbersome steps of MLOps workflows such as deploying models, and more.

  • Build and train machine-learning models from one interface: your database. No additional tools required.

Lower costs of ML projects icon

Lower costs of ML projects

  • Save money on developing expensive ML infrastructure.

  • Dynamically add ML capabilities to data using SQL.

  • Choose to automate the complexity of ML modeling, or retain manual control.

  • Integration support for multiple databases with minimal setup time

State-of-the-art stack

State-of-the-art stack

  • Built on top of leading ML frameworks (PyTorch, LightGBM, etc.),  MindsDB provides industry-leading forecasting capabilities for complex time-series, multivariate, high cardinality data.

Make your database intelligent

Get it learning. Predicting. Analyzing.Quick results. Minimal setup.

Try MindsDB for free