Bringing in-database ML to

spaCy

Bringing

spaCy

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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ML circle

Modelling-Deployment-Consumption

spaCy

Direct is better. MindsDB enables prediction and analysis, and the creation of ML workflows, directly from

spaCy

. 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.

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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

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