Neptyne is building a Python-powered spreadsheet for data scientists

Douwe Osinga and Jack Amadeo were working together at Sidewalk Labs, Alphabet’s venture to build tech-forward cities, when they arrived at the conclusion that most spreadsheet software doesn’t scale up to today’s data challenges. Data science tools like Pandas and Jupyter Notebooks do, but they tend to be too inaccessible to the layperson — at least in Osinga and Amadeo’s experience.

“Talk to any analyst or financial modeler and they’ll tell you that Excel just doesn’t cut it anymore,” Osinga said. “Everybody is aware of the need to move to more powerful solutions and Python is the obvious candidate. Yet collaborating with today’s tools is underwhelming.”

Osinga and Amadeo’s solution was Neptyne, an app that uses an AI assistant to help users program spreadsheets without learning how to code. A member of the Y Combinator winter 2023 class, Neptyne this month closed a $2 million pre-seed round from Y Combinator and a group of high-profile angels, including Google AI lead Jeff Dean and Google Maps co-founder Lars Rasmussen.

Neptyne joins a raft of startups on a mission to transform the traditional spreadsheet. There’s Airtable, of course, plus upstarts like Spreadsheet.com, Actiondesk and Pigment — the last of which raised $73 million last November for its data analytics and visualization service. Most recently, Equals, a San Francisco-based venture, raised $16 million for its spreadsheet platform that incorporates tools like live data integrations.

Image Credits: Neptyne

Neptyne is different in that it packs a Python-based spreadsheet engine, Python being the programming language popularly used for data science. Osinga describes it thusly: It’s a spreadsheet where everything works the way you’d expect it to work in a spreadsheet, but that also offers access to the Python ecosystem — including libraries, frameworks and tools.

“The large language models [like OpenAI’s GPT-4] that have recently produced mind-blowing results happen to be very good at writing Python code,” Osinga said. “Since Neptyne natively speaks Python, it means that the AI doesn’t just help you write formulas or visualize data — you can have a dialog with the AI about the spreadsheet application in front of you and have it modify it for you.”

For example, imagine you have a pivot table built using Pandas, an open source Python library for data analysis, that summarizes data both by product and region. With Neptyne, you can ask the AI assistant to modify the pivot table calculation to include or exclude products or change the grouping criteria, such as by product category instead of individual product. Neptyne updates the calculations in real time, allowing you to explore different options.

“A lot of important modeling and calculations today is hidden in complex spreadsheets or data processing systems and modifying requires experts to dig in deep,” Osinga said. “Neptyne’s powerful AI integrations eliminate the limitations of normal spreadsheets while dramatically reducing the complexity of using advanced data tools.”

Them’s fighting words. But it’s early days for Neptyne — the company is pre-revenue and isn’t disclosing the size of its customer base. Osinga optimistically expects growth this year, so much so that he’s anticipating hiring six staffers to round out Neptyne’s current four-person workforce.

Neptyne is building a Python-powered spreadsheet for data scientists by Kyle Wiggers originally published on TechCrunch