SQLite Cloud, Inc.
To enable SQLite everywhere, from edge devices to cloud infrastructure, with offline-first synchronization and built-in AI intelligence.
At a Glance
- Developer Infrastructure
- Edge Computing
- AI/ML Startups
- IoT & Robotics
AI Tools by SQLite Cloud, Inc.
(2)SQLite-Sync
SQLite CRDT Offline Sync Tool
WASTE — Weight-Aware Streaming Tensor Engine
NVMe LLM Inference Engine
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Products & Services
A fully managed SQLite database platform providing storage, APIs, security, functions, and operational tooling.
Standalone offline-first sync service for local SQLite apps. Connects SQLite at the edge to central SQLite Cloud, PostgreSQL, or Supabase.
Suite of extensions for vector search, on-device model inference, agent memory, and JavaScript functions inside SQLite.
Open-source inference engine for running massive LLMs (like Kimi K3) on consumer hardware by streaming weights.
Market Position
SQLite Cloud positions itself as the only SQLite-native managed platform with a focus on edge-to-cloud synchronization and integrated AI extensions, differentiating from general-purpose cloud databases and edge-only solutions.
Leadership
Founders
Marco Bambini
Founder & CEO of SQLite Cloud, Inc. Previously Founder/CEO of Creolabs Inc., SQLabs, and Big Nerd Ranch engineer. Author of the Gravity programming language.
Executive Team
Marco Bambini
Founder and CEO
Extensive background in database development and programming languages (Gravity). Previously founded Creolabs and SQLabs.
Brian Holt
VP of Product
Joined in April 2024. Former Principal Product Manager for Postgres at Microsoft. Previously worked at Snowflake, Stripe, Netflix, and LinkedIn.
Board of Directors
Founding Story
Founded by Marco Bambini to bring the simplicity and efficiency of SQLite to modern cloud and edge architectures, backed by the original creator of SQLite.
Business Model
Revenue Model
SaaS subscriptions based on compute (CPU/RAM), storage, and sync device/traffic volume.
Pricing Tiers
1 CPU, 256 MB RAM, 512 MB storage, 20 max connections
1 CPU, 1 GB RAM, 3 GB storage, 100 max connections, Daily snapshots
2 CPUs, 2 GB RAM, 30 GB storage, 400 max connections, Performance insights
Custom CPU/RAM/Storage, Dedicated support
20 devices, 1 GB traffic
60 devices, 3 GB traffic
200 devices, 20 GB traffic
Custom device limits and traffic
Target Markets
- Developer Infrastructure
- Edge Computing
- AI/ML Startups
- IoT & Robotics
- Offline-first mobile and desktop apps
- AI agents with persistent memory
- Robotics and IoT edge telemetry
- On-device RAG (Retrieval-Augmented Generation)
- Distributed database management
- Individual developers
- AI Agent startups
- Field service application providers