AI-native app building and workflow automation on Airtable's flexible database platform
Airtable AI is compelling for teams already invested in Airtable, since it turns existing bases into AI-ready apps. Watch the credit-based metering, as heavy AI use can push you toward higher tiers or add-on credit packs.
Airtable AI brings generative AI and agents into a no-code database, letting teams summarize and generate content inside records, automate enrichment, and build entire apps by describing them to the Omni agent. AI usage is metered through monthly credits bundled with each paid plan, with add-on credit packs available. It is strongest for teams that already run their workflows in Airtable and want AI on their structured data.
Airtable AI is the layer of artificial intelligence woven through Airtable's popular no-code database and app-building platform. It spans field-level AI that can summarize, categorize, translate, and generate text directly inside records; AI-powered automations that route and enrich data; and Omni, a conversational agent that builds complete apps, including tables, interfaces, and automations, from a natural-language description. Cobuilder and Hyperagent extend this into rapid prototyping and autonomous, multi-step agents that can act across a workspace. Because AI runs on top of Airtable's spreadsheet-database hybrid, it inherits the same structured data, views, interfaces, and integrations teams already use. AI usage is metered in monthly credits bundled with each paid plan, so marketing, operations, product, and content teams can pilot AI on real data without leaving their existing bases. Building and iterating on apps with Omni is included at no extra AI-credit cost, while field and automation AI actions draw down the shared credit pool.
Airtable AI adds generative AI, the conversational Omni app builder, and autonomous agents to Airtable's no-code database platform. AI usage is metered as monthly credits bundled into every plan, from a free trial pool to larger allotments on Team ($20/user/mo) and Business ($45/user/mo). It is best for teams already running workflows in Airtable who want AI on structured data. In August 2026, Airtable agreed to be acquired by Bending Spoons at a $1.285B enterprise value.
Airtable, founded in 2012 by Howie Liu, Andrew Ofstad, and Emmett Nicholas, is a cloud platform that blends the simplicity of a spreadsheet with the power of a relational database, adding interfaces, automations, and app-building on top. It grew into one of the most widely used no-code tools, reaching an estimated $478M ARR in 2024. The company raised roughly $1.4B in total funding and reached an $11.7B post-money valuation on its December 2021 Series F, though secondary-market valuations later declined to around $4B.
In 2024-2025 Airtable repositioned around AI, launching Cobuilder, the conversational Omni agent, and Hyperagent to move from database tool to AI-native app platform. In August 2026, Airtable entered a definitive agreement to be acquired by Bending Spoons in an all-cash deal valuing the company at a $1.285B enterprise value.
Airtable AI spans three layers. Field- and automation-level AI performs summarization, content generation, translation, categorization, sentiment analysis, and data extraction directly on records. Omni is a conversational builder that produces complete apps, including tables, interfaces, and automations, from a natural-language prompt, with building and iteration included at no extra AI-credit cost. Hyperagent and Cobuilder extend this into autonomous, multi-step agents and rapid prototyping.
Because AI runs on Airtable's structured bases, it works alongside existing views, interfaces, integrations (Slack, Zapier, Salesforce, Google Workspace, Jira), and the API. AI consumption is metered in monthly credits that vary by plan, with add-on credit packs for overages.
Airtable AI targets operations, marketing, product, and content teams inside small businesses through large enterprises that already organize work in Airtable and want AI applied to their structured data. It appeals to no-code and citizen developers who want to build internal tools and agents without engineering, as well as larger organizations needing governance, SSO, and admin controls on the Business and Enterprise tiers.
Operations managers, marketers, product managers, and analysts who build and run apps and automations in Airtable and use AI to summarize, generate, and enrich data.
Team leads, department heads, and IT or RevOps decision-makers who own the Airtable subscription and evaluate AI credit needs and plan tiers.
No-code builders, power users, and internal automation champions who prototype AI apps and advocate for expanded credits or upgrades.
A mid-market or enterprise team already standardized on Airtable for operational workflows, with data-heavy processes that benefit from AI summarization, content generation, and agent-driven app building, and a need for collaboration, integrations, and admin controls.
Airtable raised approximately $1.4B in total funding, including a $735M Series F in December 2021 at an $11.7B post-money valuation; investors include Benchmark, Coatue, Thrive, Salesforce Ventures, XN, and Franklin Templeton. Secondary-market valuations later fell to around $4B, and in August 2026 Airtable agreed to be acquired by Bending Spoons at a $1.285B enterprise value.
Airtable AI does not have a separate price; it is bundled into Airtable's plans as monthly AI credits. Paid plans start at $20/user/mo (Team, billed annually) and $45/user/mo (Business), each including a pool of AI credits. Enterprise Scale is custom-priced, and add-on credit packs (about $40 for 20,000 credits) cover heavy usage.
You can try Airtable AI for free. The Free plan ($0) includes a small monthly pool of AI credits (roughly 500 per editor) and lets you build apps with the Omni agent at no extra AI-credit cost. For sustained or heavier AI use, you will need a paid plan with a larger credit allotment.
Common alternatives include Notion AI, Coda AI, Microsoft Power Platform with Copilot, Smartsheet AI, and no-code builders like Softr, Glide, or Retool. The best fit depends on whether you prioritize database-centric AI (Airtable, Notion, Coda) or workflow and app-building automation.
Airtable AI can summarize records, generate and rewrite content, translate and categorize text, extract data from unstructured inputs, and power AI-driven automations. The Omni agent builds full apps, tables, interfaces, and automations from a plain-language prompt, and Hyperagent enables autonomous, multi-step agents across a workspace.
Notion AI is stronger for document- and knowledge-centric writing and Q&A within pages, while Airtable AI excels at running AI on structured database records and building operational apps and automations. Choose Notion AI for docs and wikis, and Airtable AI for data-heavy workflows, app building, and agents on structured data.
Side-by-side pages for pricing, features, and best-fit use cases.
Polymer is an AI-powered business intelligence platform that enables users to build dashboards, generate visualizations, and analyze data through conversational AI without requiring data analyst exper
Fireflies.ai is an AI meeting assistant that automatically transcribes, summarizes, and analyzes conversations across Zoom, Google Meet, Microsoft Teams, and other video conferencing platforms.
MeetGeek is an AI meeting assistant that automatically records, transcribes, and summarizes video meetings across platforms like Zoom and Microsoft Teams
Read AI is an AI-powered meeting assistant that provides automated transcription, summaries, and real-time notes for Zoom, Google Meet, and Microsoft Teams