Checked May 13 2026
turbopuffer
Serverless search database combining vector and full-text search on object storage, built for AI applications that need to query billions of documents cheaply at scale.
Source mix3 reported1 company
Evidence notes
Who uses it: Engineering teams at AI-native product companies and developer-facing SaaS businesses that own the infrastructure budget and need to embed search into their products at scale.[4]+1Reported
Public signals: Headcount grew 180% YoY to 24 employees as of May 2026; monthly growth rate 7.7%[4]Company-authored
Financing: Undisclosed on 2025-12.[1]