Airtable, founded in 2012, built its reputation well before this category's AI wave on a specific hybrid: a database with the approachable, familiar interface of a spreadsheet, letting non-technical teams build custom internal tools, trackers, and workflows without writing code, and AI features now layer directly onto that established base.
That existing foundation shapes what the AI features are actually useful for: summarizing records, generating field content, and automating workflows within structures teams have regularly spent years building and refining, rather than AI bolted onto a brand-new, unproven data platform.
A free tier covers small projects, and paid plans start around $20 a month for more records and automation. For a team that has already built real workflows and internal tools on Airtable, AI features grounded in that established structure are a more direct upgrade than adopting an entirely new AI-first database platform.
