PostgresML is a technology company.
PostgresML has raised $5.0M across 1 funding round.
PostgresML has raised $5.0M in total across 1 funding round.
PostgresML is an open-source extension for PostgreSQL that integrates machine learning (ML) and AI capabilities directly into the database, enabling developers to train, deploy, and run models using simple SQL queries without external pipelines or data movement.[1][2][3][7] It serves app developers, data scientists, and mid-sized enterprises building AI applications like chatbots, fraud detection, forecasting, search, anomaly detection, sentiment analysis, and retrieval-augmented generation (RAG), solving the complexity of ML infrastructure by bringing models to the data for faster prototyping, lower costs, and better performance.[1][3][4][7] The platform has gained early traction, raising $4.7 million in seed funding in 2023 to expand accessibility for smaller teams lacking dedicated ML resources.[1][3]
PostgresML was founded by Montana Low and Lev Kokotov, experienced ML and infrastructure engineers who met at Instacart during a period of rapid growth, working on ML platforms and teams respectively.[3] The idea emerged from recognizing the barriers of traditional ML workflows—requiring separate microservices for data prep, inference, and fine-tuning—while developers already trusted PostgreSQL for production apps due to its scalability and cost-efficiency.[1][3] Launched as an open-source Postgres extension written in Rust, it quickly progressed to general availability in 2023 with seed funding from Amplify Partners, building on early developer interest to make AI more approachable.[1][3][7]
PostgresML rides the trend of AI-first databases, adapting mature tools like Postgres (trusted by Apple, Cisco) for the generative AI era amid exploding demand for LLMs and real-time ML without bespoke infrastructure.[1][3] Timing is ideal as data volumes surge and companies seek to avoid "walled garden" ML complexity, especially smaller firms without data warehouses; market forces like Postgres's 40-year longevity and open-source momentum favor it over proprietary alternatives.[1][3][4] It influences the ecosystem by democratizing AI deployment, accelerating adoption in apps via "code to the data" and lowering barriers, positioning Postgres as a vector/ML database contender.[2][3][7]
PostgresML is poised to expand enterprise features for sophisticated workloads, deepen LLM/RAG integrations, and grow its cloud offering amid rising demand for efficient, database-native AI.[1][7] Trends like multi-agent AI, edge inference, and Postgres's dominance in open-source DBs will propel it, potentially evolving from extension to full AI app platform as adoption scales.[3][5][7] This seeds the next wave of accessible, in-database intelligence, fulfilling its mission to empower developers where data lives.
PostgresML has raised $5.0M in total across 1 funding round.
PostgresML's investors include Adjacent, AIX Ventures, Alt Capital, Amplify Partners, Array Ventures, Audrey Capital, Background Capital, Bloomberg Beta, Bond, BoxGroup, C2 Investment, Compound.
PostgresML has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Seed in May 2023.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2023 | $5.0M Seed | Adjacent, AIX Ventures, Alt Capital, Amplify Partners, Array Ventures, Audrey Capital, Background Capital, Bloomberg Beta, Bond, BoxGroup, C2 Investment, Compound, Felicis Ventures, Otherwise Fund, Saga, Sequoia Capital, The Hit Forge, Adam Gries, Akshay Kothari, Amjad Masad, Ben Silbermann, Biz Stone, Brandon Leonardo, Chris Murphy, Howie Liu, James Park, Jonathan Wegener, Lukas Biewald, Max Mullen, Moshe Lifschitz, Naveen Selvadurai, Nick Green, Scott Belsky, Spencer Kimball |