Marimo has raised $5.0M in total across 1 funding round.
Marimo's investors include AIX Ventures, Lerer Hippeau, Lightspeed Venture Partners, The Hit Forge, Amjad Masad, Liu Jiang, Manuel Bronstein.
Marimo is a technology company building marimo, a next-generation open-source Python notebook designed for data science, machine learning, and interactive computing.[1][3] It serves data scientists, ML engineers, researchers, and developers by solving key pain points in traditional notebooks, such as error-prone state management, lack of reproducibility, and poor Git integration; instead, marimo creates reactive, deterministic Python programs stored as .py files that stay in sync, support interactive UI elements, SQL queries, and AI-native editing.[1][3] The company has gained strong momentum through endorsements from figures like Pydantic's founder and Django creator Simon Willison, widespread adoption for apps like embedding visualizers and federated learning demos, and its free, community-driven model.[3]
Marimo was co-founded by Akshay Agrawal (CEO), a former Google Brain engineer who contributed to TensorFlow and holds a NeurIPS-published PhD from Stanford in machine learning and vector embeddings, and Myles Scolnick (CTO), ex-Palantir and CloudKitchens engineer experienced in product and web platforms.[1] The idea emerged from their belief that tools shape thinking, aiming to reinvent the Python notebook as a reproducible, reactive alternative to JSON-based scratchpads for research, data exploration, tooling, and education.[1] Early traction built on a strong founding team including data pros like Vincent Warmerdam (PyData contributor), Dylan Madisetti (ex-Google PhD), Shahmir Varqha (ex-Grab), and Trevor Manz (anywidget creator, Harvard PhD), all with pedigrees from top tech and research environments.[1]
Marimo rides the wave of AI-native computing and reproducible data science, where tools must handle reactive UIs, LLMs, and collaborative workflows amid exploding ML adoption.[3] Timing is ideal post-ChatGPT, as data notebooks evolve from static Jupyter hacks to dynamic, Git-scale programs, fueled by open-source momentum and needs for trustworthy AI research.[1][3] Market forces like Python's dominance in data/ML (90%+ usage), Git's ubiquity, and SQL's persistence favor Marimo, while it influences the ecosystem by attracting endorsements from indie hackers to Modal engineers, powering apps in visualization and federated learning, and pushing competitors toward reactivity and reproducibility.[3]
Marimo is poised to dominate reactive notebooks as AI tools demand seamless, reproducible environments—expect deeper LLM integrations, enterprise features like managed envs, and expansion into full ML platforms.[3] Trends like multimodal AI and collaborative science will amplify its edge, potentially drawing VC for a hosted SaaS tier while staying open-source core. Its influence could reshape Python data tooling, empowering more actionable insights from humans and machines alike, fulfilling its mission from day one.[1]
Marimo has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Seed in November 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Nov 1, 2024 | $5.0M Seed | AIX Ventures, Lerer Hippeau, Lightspeed Venture Partners, The Hit Forge, Amjad Masad, Liu Jiang, Manuel Bronstein |
