Deepnote is a cloud-based, collaborative data notebook that reimagines the Jupyter notebook for teams. Founded in 2019 in San Francisco, it lets data scientists and analysts connect data sources, write Python, SQL and R, and work together in real time - like a Google Docs for data. In recent years it has leaned heavily into AI, adding an agent that can generate, edit and debug entire notebooks, and it went open source in 2025.
Rohan Kodialam is the co-founder and CEO of Sphinx, a New York applied-AI research firm building agents that actually understand data. A former Citadel quant who learned to squeeze alpha out of messy alternative datasets, and an MIT-trained researcher who once taught transformers to read hierarchical data, he started Sphinx on a simple observation: software engineers got Copilot, everyone else got ChatGPT, and data scientists got nothing. In 2025 Sphinx launched out of stealth with a $9.5M seed led by Lightspeed and backers including Steve Cohen and Naveen Rao, betting that the next frontier of AI is not language or code, but the spreadsheets and warehouses where real decisions get made.