MOQI SINGAPORE PTE. LTD.
Enable every developer to build production-grade GenAI applications with powerful and familiar SQL.
At a Glance
- AI Developers
- Enterprise Data Teams
- Cloud-native Startups
AI Tools by MOQI SINGAPORE PTE. LTD.
(1)MyScale
SQL Vector Database for AI
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Latest News
MyScale releases performance benchmarks showing 3.6x cost-efficiency over Pinecone.
MyScale integration with OpenAI GPTs for no-code AI knowledge bases.
MyScale launches on AWS Marketplace as a featured SQL vector database.
MyScaleDB open-source release on GitHub.
Products & Services
A fully managed, SQL-compatible vector database for AI applications.
Open-source SQL vector database built on ClickHouse, optimized for performance and scalability.
Custom vector indexing engine providing high performance and cost efficiency.
Market Position
Positions as the most cost-effective and familiar (SQL-based) vector database compared to specialized engines like Pinecone or Milvus.
Leadership
Founders
Yuan Hao
Founder and CEO of Moqi Technology. Holds a PhD in Computer Science from Princeton University. Previous research experience at Microsoft Research and Facebook.
Linpeng Tang
Founder and CTO of Moqi. PhD in Computer Science from Princeton University. Previously a research scientist at Facebook AI Research (FAIR).
Zeyu Wang
Co-founder of Moqi. PhD from Yale University. Expertise in computer vision and AI.
Executive Team
Yuan Hao
CEO
PhD from Princeton, expert in AI and distributed systems.
Linpeng Tang
CTO
PhD from Princeton, former FAIR researcher, architect of MyScale.
Founding Story
Moqi was founded by Princeton and Yale PhDs to solve massive unstructured data challenges. After developing high-precision biometric systems, the team pivoted to create MyScale, a SQL-integrated vector database to simplify RAG and AI development.
Business Model
Revenue Model
SaaS Subscription and Managed Services
Pricing Tiers
Supports up to 5M 768-dim vectors, community support.
Multiple replicas, AZ support, email support.
99.9% uptime SLA, 24/7 support, dedicated infrastructure.
Target Markets
- AI Developers
- Enterprise Data Teams
- Cloud-native Startups
- Retrieval-Augmented Generation (RAG)
- Recommendation Engines
- Image Search
- Enterprise AI Knowledge Bases
- Tencent
- Siemens
- Cisco
- Intel