Data Integration for AI Agents

Airbyte operates as a data and action layer purpose-built for artificial intelligence agents, connecting once to source systems and providing agents with pre-indexed, searchable context alongside real-time read and write access through MCP servers, software development kits, and command-line interfaces. The platform addresses a fundamental gap in AI agent architecture: while numerous tools connect individual systems, none understand the relationships between them. A customer exists across CRM records, support tickets, payment invoices, and code repositories, and the context store unifies these fragmented data points into a single searchable index that agents can query naturally. The connector catalog includes over 600 data replication sources covering SaaS platforms like Salesforce, Zendesk, Stripe, GitHub, and Jira, plus more than 50 agent-specific connectors designed for retrieval-augmented generation workflows. Over 1.2 million pipelines sync daily across the infrastructure, with automatic schema evolution and incremental change data capture ensuring agents always work with current information. The Context Store exposes three interaction modes: Connect for authenticating and syncing data sources, Ask for querying unified customer and project records through natural language, and Act for executing write operations back into connected systems. Security and compliance standards include SOC 2 Type II certification, GDPR compliance, and HIPAA readiness, supporting enterprise deployments with private networking and self-hosted options. Customers span organizations from the University of Pennsylvania to startups like Recall, MagicSchool AI, and Cloudinary, using the platform to power customer support agents, data analysis copilots, and automated workflow systems.