Paradigm

Paradigm AI is an AI spreadsheet platform incubated by YC. Autonomous task-executing Agents are deployed behind cells, enabling batch completion of data collection, cleaning, completion and scoring through natural language.

AI Data Extraction#Spreadsheet#Data Automation#AI Agent

Updated: 2026-10-26

What is Paradigm?

Paradigm AI is an AI-powered spreadsheet platform incubated by Y Combinator. It retains traditional spreadsheets as the interaction medium but deploys AI Agents that can perform autonomous tasks behind each cell, upgrading manual spreadsheet filling into conversational data automation. Users only need to create column headers as usual and then input natural language instructions, and the system can complete the collection, cleaning, completion and scoring of hundreds or even thousands of pieces of data within minutes. Its overall speed is claimed to be 1,000 times faster than manual work.

Who is it for?

Operations and researchers who need to batch process, enrich and score external data but do not want to maintain crawlers or write code.
Teams that manage leads, suppliers, or competitor information in spreadsheets and want to replace manual data entry with conversations.
Team leaders who want to automate form-filling and free up human resources for judgment and decision-making.

Key features

Cell-level AI Agent

Behind each cell is an autonomous agent that can perform tasks. It can collect external data as instructed, as well as clean, complete and score it, turning the spreadsheet into an automated workbench.

Conversational data automation: Describe your goal in natural language, such as completing and scoring the industry labels for companies in this column, and the system will automatically execute it in bulk within the spreadsheet without writing scripts or formulas.

Batch Collection and Enrichment: Collect, clean and complete hundreds or thousands of rows of data, which is especially suitable for scenarios requiring large-scale organization of external information, and significantly shortens the preparation cycle.

Familiar interaction medium

With a traditional spreadsheet as the interface, users do not need to learn new tools and can get started by following the habits of columns, rows and headers, reducing the adoption threshold for the team.

How to use Paradigm

Set deduplication and verification rules for externally collected data to prevent duplicate or misplaced information from contaminating the entire table and ensure the reliability of downstream conclusions.
First verify the quality of the AI's data collection and completion on a small sample, confirm the correct terminology, and then run it on the entire column in batches to avoid large-scale rework.
Conduct sampling reviews of automatically scored results.
especially for subjective evaluations, manual review ensures usability.
Standardize frequent data organization instructions into templates for direct subsequent reuse, which can continuously reduce repetitive work.
If you have a list of customers or suppliers with thousands of rows and need to complete information such as industry, size, and rating for each line, you no longer have to look up each item one by one.
Write your requirements as a natural language instruction in a column and let Paradigm automatically complete it in the corresponding cells.
You can get the results that would have taken hours in just a few minutes.
Start with a single column, confirm the quality, and then fill the entire table.
This not only saves time but also ensures a unified standard.