MindsDB

MindsDB is a developer of analytic and predictive tools designed to help organizations apply machine learning (ML) to data. The company offers predictive tools to automate predictions from data. The company's platform offers a predictive artificial intelligence layer for existing databases, which allows organizations to apply machine learning to their own data. This allows users to query their databases for predictive possibilities and detect anomalies in the data sets. MindsDB is developed for full-stack developers using familiar SQL statements, such as time series, regression, and classification models that can be trained and deployed automatically.

MindsDB was founded in 2017 by CEO Jorge Torres and Adam Carrigan and is headquartered in Berkeley, California. Customers of MindsDB have included Rize, Journey Foods, and Domuso.

The MindsDB platform allows users to utilize their data to make forecasts by offering a machine learning system that can be integrated into a user's database. With MindsDB, users are able to build, train, optimize, and deploy their ML models without needing other platforms, and the models can be used to get forecasts, query their data, and query their ML models.

To bring machine learning capabilities to SQL databases, MindsDB uses AI tables, which integrate machine learning models as tables inside the database, create predictions, and can be queried with simple SQL statements. Further, the platform allows users to handle classification predictions, or optimization recommendations can be handled through the SQL query. And the MindsDB platform is open-source, which is fundamental to the founder's vision of democratizing machine learning for all database users.

MindsDB offers more than seventy integrations, including those with Airtable, Amazon Redshift, Atom, Cockroach Labs, Couchbase, CrateDB, Databricks, DBeaver, Google Cloud Platform, Hugging Face, Firebird, Looker, MLFLow, MongoDB, MariaDB, Oracle, Open AI, PyCharm, Pytorch, Redis, Shopify, Snowflake, Tableau, TensorFlow, Vultr, Elasticsearch, SAP, and Teradata.

There are several applications and use cases for the MindsDB platform, including churn reduction, employee retention management, credit scoring, customer lifetime value optimization, direct marketing, fraud detection, fraudulent claim detection, inventory management, loan recovery, patient health outcomes, predictive maintenance, price modelling, product personalization, quality assurance, and risk assessment.