turbopuffer Inc.
Provide a fast, cost-effective, and extremely scalable serverless vector and full-text search service designed for AI-driven similarity search applications.
At a Glance
- AI Startups
- Enterprise AI Teams
- SaaS Platforms
- Large-scale Content Platforms
AI Tools by turbopuffer Inc.
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turbopuffer
Serverless Vector Search Database
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Products & Services
A serverless vector and full-text search database built on object storage (S3) with an NVMe/SSD cache layer for high performance and low cost.
Market Position
Positions as up to 10x cheaper and more scalable than competing vector databases by utilizing a cloud-native, object-storage-first architecture.
Leadership
Founders
Simon Hørup Eskildsen
Co-founder & CEO. Previously Principal Engineer at WebScale Inc and Shopify. Former Director of Kernel at Shopify. Expert in production engineering and scaling search infrastructure.
Justine Li
Co-founder & CTO. Previously Senior Staff Software Engineer at Shopify. Expert in software development and engineering leadership.
Executive Team
Simon Hørup Eskildsen
CEO
Ex-Shopify Principal Engineer and Director of Kernel.
Justine Li
CTO
Ex-Shopify Senior Staff Software Engineer.
Board of Directors
Founding Story
Founded by ex-Shopify engineers to solve the complexity and high cost of large-scale vector search by leveraging object storage and first-principles infrastructure design.
Business Model
Revenue Model
Usage-based billing (Storage, Writes, Queries) with monthly subscription minimums.
Pricing Tiers
Includes all database features, deployment options, and support via Community Slack & Email.
Includes HIPAA-ready BAA, Single Sign-On (SSO), and Private Slack support.
Includes Single-Tenancy, BYOC, Private Networking, 24/7 support, and Uptime SLA.
Target Markets
- AI Startups
- Enterprise AI Teams
- SaaS Platforms
- Large-scale Content Platforms
- AI applications (RAG)
- Semantic search
- Recommendation systems
- Large-scale document retrieval
- Notion
- Cursor
- Linear