TensorChord Inc.
TensorChord builds high-performance tools for data scientists, focusing on scalable vector search within PostgreSQL to simplify AI infrastructure.
At a Glance
- AI Infrastructure
- Enterprise Database Users
- Data Science Teams
- SaaS Companies
AI Tools by TensorChord Inc.
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VectorChord
Vector Search PostgreSQL Extension
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Latest News
VectorChord v1.1.1 Released: Enhancing Billion-Scale Vector Search
EnterpriseDB Partners with TensorChord to Power EDB Postgres AI
pgEdge Announces Agentic AI Toolkit for Postgres featuring VectorChord
TensorChord Introduces Binary Vector Search for 30x Memory Efficiency
Products & Services
A PostgreSQL extension for scalable, high-performance vector similarity search. Supports billion-scale indexing on a single machine.
An open-source development environment manager for machine learning, enabling reproducible and containerized environments.
A serverless deployment platform for machine learning models, simplifying the path from development to production.
Market Position
Positions as a faster, cheaper, and more integrated alternative to specialized vector databases like Pinecone by leveraging the power of PostgreSQL.
Leadership
Founders
Ce Gao
CEO. Previously at Tencent Cloud. Co-chair of Kubeflow (CNCF), CNCF Ambassador. Expert in cloud-native AI infrastructure.
Allen (Jinjing) Zhou
CTO. Previously Machine Learning Engineer II at Amazon Web Services (AWS) working on SageMaker. Research Assistant at NYU.
Executive Team
Ce Gao
CEO & Co-founder
Ex-Tencent, Kubeflow Co-chair.
Allen (Jinjing) Zhou
CTO & Co-founder
Ex-AWS SageMaker.
Board of Directors
Founding Story
TensorChord was founded to bridge the gap between AI algorithm engineers and infrastructure. The founders, with backgrounds at Tencent and AWS, initially focused on environment management (envd) before pivoting to address the vector search bottleneck. They created VectorChord (formerly pgvecto.rs) to provide a high-performance, cost-effective alternative to specialized vector databases by integrating advanced indexing directly into PostgreSQL.
Business Model
Revenue Model
Usage-based subscription for cloud-managed services and enterprise support licenses.
Pricing Tiers
Free tier for small projects and testing.
Base price for enterprise features and support.
Target Markets
- AI Infrastructure
- Enterprise Database Users
- Data Science Teams
- SaaS Companies
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Recommendation Systems
- Image and Audio Similarity Search
- Anomaly Detection
- EnterpriseDB
- pgEdge
- Various AI Startups