SQLite Cloud

SQLite AI

The Al-Native Extension turns your SQLite database into an Al engine with a single extension.

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Your SQLite Database

Existing application data

AI Extension

The AI engine integrates directly with SQLite, handling model execution and optimization automatically.

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GGML Virtual Machine

Handles all Al operations

Model Management

Models are distributed as VM instructions, making updates and deployment seamless.

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Simple SQL Queries

Add Al features instantly

SQL Interface

All AI capabilities are accessed through familiar SQL queries - no ML expertise required

Why Al inside SQLite?

Unified Compute and Storage
No more shuttling data between your database and a separate inference engine. With Al functions built into SQLite, inference runs directly where the data lives-reducing latency, improving reliability, and simplifying your stack.
Zero Infrastructure Overhead
SQLite is serverless, self-contained, and requires zero configuration. Embedding Al into SQLite inherits these benefits-making deployment as easy as copying a file. Perfect for mobile, loT, robotics, automotive, and offline-first applications.
Local, Real-Time Intelligence
Run predictions in milliseconds, right on-device. Whether it's voice recognition, anomaly tection, or vector search, our extensions are optimized for real-time inference on consumer-grade hardware.
Privacy-Preserving by Design
Data never leaves the device. With on-device Al in SQLite, you can meet strict data protection requirements while delivering intelligent features that users trust.
Fully Programmable with SQL
Query vectors, run models, and compose intelligent logic-all using standard SQL. Developers can integrate Al features into their apps without needing to rewrite or restructure their data pipeline.
Compatible with Any SQLite App
Our extensions drop into your existing SQLite workflow with no friction. Use them from mobile apps, embedded systems, desktop tools, or cloud backends.

Simplify Your Al Infrastructure

Our Al engine handles all the complexity, letting you focus on building features instead of infrastructure.

Without SQLite AI

4-8 months development time
10,000+ lines of code
Complex model optimization
Manual memory management
Custom deployment pipeline
Dedicated ML team required
Inconsistent offline behavior
Security risks from cloud dependency
Lack of standard interfaces
Fragmented tooling and debugging

With SQLite AI

1-day integration
~10 lines of SQL
Automatic optimization
Support any language and framework
Zero-config deployment
Familiar SQL interface
Edge-ready
Cloud-coordinated, local-first
Secure by design
Minimal footprint
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