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 prredictionspredictions from data. The company's platfromplatform offers a predictive artificial intelligence layer for existing databases, which allowallows 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 whichthat can be trained and deployed automatically.

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

The MindsDB platform allows users to useutilize their data to make forecasts by offering a machine learning system whichthat can be integrated into a user's database. With MindsDB, users are able to build, train, optimize, and deploy their ML models without need ofneeding 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 something known as AI tables, which integratesintegrate 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 70seventy integrations, including integrationsthose 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.

MindsDB is a developer of analytic and predictive tools designed to help organizations apply machine learning to data. The company offers predictive tools to automate prredictions from data. The company's platfrom offers a predictive artificial intelligence layer for existing databases, which allow 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 which can be trained and deployed automatically.

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

MindsDB platform allows users to use their data to make forecasts by offering a machine learning system which can be integrated into a user's database. With MindsDB, users are able to build, train, optimize, and deploy their ML models without need of 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 something known as AI tables, which integrates 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 70 integrations, including integrations 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.