
MindsDB is an AI data automation company that offers a solution to connect and unify petabyte-scale enterprise data from over 200 data sources, enabling real-time enterprise-wide analytics and decision-making. Their platform integrates structured and unstructured data from SaaS apps, databases, and file systems, providing a cognitive engine that understands complex questions, retrieves knowledge, and delivers actionable insights with transparency and data privacy. MindsDB offers both an open-source federated query engine and an enterprise solution with managed integrations, LLMs, business rules, and personalized UI, supporting unlimited scale and deployment options including VPC, on-premises, and serverless. The company has over 400,000 deployments and 31,000 GitHub stars, serving global enterprises and AI startups, and is backed by significant venture capital funding.

MindsDB is an AI data automation company that offers a solution to connect and unify petabyte-scale enterprise data from over 200 data sources, enabling real-time enterprise-wide analytics and decision-making. Their platform integrates structured and unstructured data from SaaS apps, databases, and file systems, providing a cognitive engine that understands complex questions, retrieves knowledge, and delivers actionable insights with transparency and data privacy. MindsDB offers both an open-source federated query engine and an enterprise solution with managed integrations, LLMs, business rules, and personalized UI, supporting unlimited scale and deployment options including VPC, on-premises, and serverless. The company has over 400,000 deployments and 31,000 GitHub stars, serving global enterprises and AI startups, and is backed by significant venture capital funding.
What they do: AI data automation platform that connects and unifies petabyte-scale enterprise data for analytics and decision-making
Origins: Founded as an open-source project to enable machine learning inside databases
Founders: Jorge Torres (Co‑founder & CEO) and Adam Carrigan (Co‑founder & COO)
Scale signals: Reported 400,000+ deployments and 31,000 GitHub stars
Funding: Multiple venture financings with reported total funding around $54.36M (last noted 2023-08-08)
Enterprise data integration, real-time analytics, and production ML/AI serving
2017
Artificial Intelligence / Data Infrastructure
25000000.00
Announced $25M financing with participation from TQ Ventures and existing investors
16500000.00
Announcement referenced an investment from NVentures and cited total seed funding figures leading to ~$46.5M in earlier disclosures
“Backed by a syndicate including Mayfield, Benchmark, Y Combinator, OpenOcean, Walden Catalyst Ventures, Speedinvest, MMC, TQ Ventures, NVentures, and UC Berkeley SkyDeck fund”