← All organizations

Vector and full-text search infrastructure

turbopuffer

turbopuffer builds a vector and full-text search database for AI applications. Developers write documents, embeddings, text and metadata through an API, then retrieve information using semantic similarity, keyword matching or hybrid search with filters. Customers include Anthropic, Atlassian, Cursor and Notion. Its architecture separates compute from storage, keeping data in object storage and bringing it into NVMe or memory caches when queried.

Launched in 2023 by former Shopify engineers Simon Hørup Eskildsen and Justine Li, turbopuffer is a Canadian, remote-first company led by Eskildsen as CEO. Its engineering approach includes a clustering-based vector index inspired by SPFresh, which supports incremental updates without periodic rebuilding. Its native filtering connects attribute indexes to those vector clusters, allowing searches to skip clusters without matching documents and evaluate matching candidates within the remaining clusters. This integrates filtering into retrieval instead of applying it only before or after vector search.

In April 2026, the company reported four trillion documents in production and over 25,000 searches per second. Sacra estimated its annualized revenue run rate at $100 million in March 2026. Separately, turbopuffer secured financing of an undisclosed amount from Lachy Groom and Thrive Capital in 2025.

turbopuffer.com

Topics these talks cover

1 talk

Newest first

1 speaker at AIE

Affiliations reflect their AIE appearances, not necessarily current employment.

Company sources · checked 2026-08-28