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Paradigm Working on A Model To Create Spreadsheets Using Generative AI

Generative AI (Photo: Shutterstock)

The spreadsheet, along with the document, stands as one of the most pivotal file types to transition from the physical to the digital world, gaining numerous enhanced capabilities along the way.

However, beyond Google Sheets and Microsoft Excel, it’s difficult to name another prominent spreadsheet provider. More significantly, both of these programs were developed long before the advent of generative AI.

Now, a new startup, Paradigm, backed by San Francisco accelerator Y Combinator and founded by 22-year-old University of Pennsylvania graduate Anna Monaco, seeks to reinvent the spreadsheet for modern white-collar professionals by integrating generative AI into every cell.

Paradigm officially launched today after operating in stealth mode, securing a $2 million seed funding round from investors including Y Combinator, Soma Capital, and Pioneer Fund, alongside notable figures such as Dropbox co-founder Arash Ferdowsi, LangChain co-founder Harrison Chase, Intercom founder Eoghan McCabe, and Diagram founder and CEO Jordan Singer.

Paradigm’s distinctive feature is that each spreadsheet cell functions as a generative AI environment.

A launch video demonstrates Paradigm’s capabilities through a scenario involving a recruiter using the software. The recruiter creates a new spreadsheet and instructs Paradigm to search GitHub for the most productive engineers, ranking them by activity from most to least active.

Paradigm leverages AI agents, built on a combination of proprietary and open-source generative AI models from third parties like OpenAI’s GPT-4 and Meta’s Llama family, to gather the requested data and automatically fill in the spreadsheet cells.

According to Monaco’s announcement on X, “Paradigm is 1000x faster than manual data collection, completing an average of 500 cells per minute.”

Generative AI

The video showcases this speed, with the cells filling in with data after a single click.

The user can then refine the spreadsheet by adding columns and inputting natural language commands, allowing Paradigm’s AI agents to pull additional data from sources like LinkedIn, GitHub, and X to summarize their tech stack.

As Monaco noted in her X post, “The real power of Paradigm comes with scale: imagine having tens of thousands of interns working for you in parallel.”

In the video, the user also uploads a database of their own team to compare candidates to their current engineers and adds a column that rates each candidate’s qualifications against a job description, scoring them out of 10 based on how well they fit.

While this example demonstrates the potential of Paradigm, it leaves open questions about how the platform will address known issues with large language models, such as hallucinations and mathematical errors, which have been problematic in similar technologies.

Despite these concerns, Monaco told *Fortune* that Paradigm already has hundreds of early users, including from Google, Stanford University, Bain, and McKinsey. The platform starts at $500 per month, and new users can join the waitlist via its website: paradigmai.com.

For enterprise decision-makers, Paradigm represents a significant advancement in productivity tools, especially for industries reliant on extensive data manipulation such as consulting, recruiting, and sales.

Automating repetitive tasks and improving data accuracy could result in cost savings, faster decision-making, and better utilization of human resources.

Companies should keep an eye on Paradigm’s progress and consider integrating AI-powered tools like this to enhance competitiveness and streamline internal processes.

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