Tables that help you go fromdata to decisions — fast.

Organize, analyze, and act on your data — with flexible views, AI Companion powered insights, and native meeting context.

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AI Data Table hero showing structured records, views, and analytics in a large workspace canvas

See your datafrom every angle.

Switch views, build dashboards, and filter information to focus on what matters most.

Turn scattered signalsinto structured data

Bring scattered signals into one table — and let AI organize, enrich, and analyze it at scale.

From table to form- fast.

Turn any data table into a form to collect structured input — and sync responses automatically.

Start fast with templates.

Get started with ready-to-use data table templates — then customize them for your workflow.

Your most frequent questions, answered

How AI Data tables work, how they differ from spreadsheets, and what AI Companion can do.

AI Data table is a flexible way to organize, manage, and analyze structured information with the help of AI Companion. Unlike traditional spreadsheets or static databases, AI data tables are designed to combine multiple views, AI-powered data processing, and workflow automation in one place. Teams can track projects, manage records, collect input through forms, and generate insights from their data without switching tools. AI data tables are commonly used for workflows such as project tracking, CRM pipelines, recruitment tracking, and content planning.

Spreadsheets are primarily designed for calculations and numerical analysis using rows, columns, and formulas. AI data tables focus on managing structured information and workflows. Instead of relying only on formulas, teams can organize records using multiple views such as boards, timelines, and dashboards, while AI can summarize, categorize, or analyze data automatically. This makes AI data tables better suited for managing projects, pipelines, and operational workflows.

AI helps automate many tasks that would normally require manual work in spreadsheets or databases. You can use AI to create or update tables, generate insights from data, summarize text fields, classify records, translate content, or extract information across large datasets. AI-powered columns can automatically process data at scale. This allows teams to manage complex datasets and workflows more efficiently.

A Meeting table connects meeting discussions with structured data. Meeting notes, recordings, summaries, and other meeting assets can be organized automatically into a table so teams can track decisions, action items, and follow-ups in one place. This helps connect conversations from meetings with ongoing work. Instead of manually transferring information from meetings into trackers, teams can keep meeting context and data connected.