Airtable provides a cloud‑native, no‑code platform that lets enterprise teams build relational database‑backed applications using a visual designer and AI‑driven app generation. The HyperDB engine supports hundreds of millions of records and includes built‑in automation, role‑based access control, audit logging, compliance certifications, and native integrations with tools such as Slack, Salesforce, and Google Drive.
Funding
Funding not disclosed
+13Founders
Product
Problem
Businesses often need bespoke workflow applications that integrate data across multiple systems, but building and maintaining such apps requires extensive coding resources, long development cycles, and complex governance controls.
Solution
Airtable offers a cloud‑native, no‑code application platform that combines a relational database engine with visual interface design, automation, and AI capabilities. Users can generate fully functional apps by describing requirements in natural language, while AI agents can query and act on thousands of records autonomously. The HyperDB architecture supports datasets of hundreds of millions of rows, enabling enterprise‑scale deployments without performance degradation. Built‑in governance features provide fine‑grained role‑based access control, audit logging, and compliance certifications (ISO, HIPAA, SOC 2). Seamless integrations with tools such as Slack, Salesforce, Google Drive, and Jira allow data to flow bidirectionally across the existing tech stack. All AI processing runs within Airtable’s AWS environment, ensuring data residency and preventing customer data from being used to train external models. The platform is delivered via a subscription model that includes the core app builder, AI services, and security controls.
Target Audience
The platform is aimed at product, marketing, operations, HR, finance, and engineering teams within mid‑size to large enterprises that need to build, iterate, and scale custom business applications without dedicated development resources.
Features
- Relational database with linked records, lookup fields, and multi‑table joins for complex data models
- AI‑driven app generation and prompt‑based workflow creation using OpenAI, Gemini, Llama, and Anthropic models
- AI agents that can execute conditional actions across thousands of records in real time
- HyperDB engine supporting >100 M records and high‑throughput automations for large enterprises
- Visual Interface Designer for custom, responsive UI components without code
- Automation engine with trigger‑action workflows, webhooks, and scheduled jobs
- Secure Portals that grant external partners controlled, view‑only or edit access to specific tables
- Enterprise governance: RBAC, SSO/IdP sync, audit logs, e‑discovery, data loss prevention, and regional data residency options
- Native integrations and a public API/SDK for extending functionality with third‑party SaaS tools
- Compliance certifications (ISO 27001, HIPAA, SOC 2) and end‑to‑end encryption for data at rest and in transit