SQLite AI provides a unified data layer that runs SQLite at the edge—on devices, browsers, robots, and AI agents—while syncing to cloud backends like SQLite Cloud, PostgreSQL, or Supabase. The platform enables offline-first applications with local writes, conflict-free synchronization, and centralized coordination, supported by extensions for AI inference, vector search, and agent memory. It turns SQLite into a common architecture for modern distributed and AI-driven workloads.
Funding
Funding not disclosed
Founders
Product
Problem
Modern applications increasingly need to operate across distributed environments—on edge devices, in browsers, and within AI systems—yet traditional architectures force a choice between local responsiveness and centralized data management. This fragmentation leads to latency, offline limitations, and complex synchronization challenges, especially for use cases like field operations, robotics, and AI agents that require real-time local decisions alongside a reliable central source of truth.
Solution
SQLite AI transforms SQLite into a common data layer that runs wherever data is created, from edge devices to cloud infrastructure. The platform enables local-first writes with offline autonomy, then syncs changes to SQLite Cloud, PostgreSQL, or Supabase when the network is available, using conflict-free CRDT-based replication. It offers a suite of extensions that embed AI inference, vector search, columnar analytics, and JavaScript functions directly inside SQLite, while SQLite Cloud provides a fully managed backend for coordination, analytics, APIs, and multi-region scaling. This architecture supports use cases ranging from offline-first mobile apps to autonomous AI agents with persistent memory, all without abandoning the familiar SQLite ecosystem.
Target Audience
Primary customers are developers and engineering teams building offline-first applications, AI agents with memory, edge AI systems, robotics and IoT fleets, and organizations using PostgreSQL or Supabase who want to add SQLite at the edge.
Features
- SQLite-Sync: Offline-first CRDT-based synchronization that turns local databases into conflict-free replicas, supporting automatic sync with SQLite Cloud, PostgreSQL, or Supabase
- SQLite-Cloud: A SQLite-native managed backend offering coordination, analytics, APIs, access control, backups, and multi-region scaling
- SQLite-AI: On-device inference and embedding generation directly inside SQLite for private edge AI and RAG workflows
- SQLite-Vector: Fast vector search implemented in ordinary SQLite tables for similarity queries without external infrastructure
- SQLite-Agent and Adam: Autonomous AI agents that operate within SQLite for database analysis and task execution
- SQLite-Columnar and SQLite-JS: Column-oriented analytics and custom JavaScript functions that extend SQLite's query capabilities
- SQLite-Memory and SQLite-MCP: Persistent, searchable memory for AI agents and direct calling of MCP tools from SQLite