Turning Logs into Runtime Intelligence
We're building the future of observability by making logs semantic, queryable, and intelligent.
Our Mission
Modern applications generate massive amounts of runtime data, but most of it sits in logs that are hard to search, impossible to query semantically, and disconnected from business context.
Logvine changes this by making logs vector-native from day one. We automatically vectorize what matters, store it in your existing Pinecone instance, and let you query with natural language.
The result? Runtime intelligence that actually helps you ship faster and debug smarter.
Vector-First
Built for LLM queries from the ground up
Zero Instrumentation
Works with your existing logging
Natural Language
Query logs like you're talking to a colleague
Our Story
"Why did onboarding fail yesterday?" required hours of log diving, regex writing, and context switching. We knew there had to be a better way.
By making logs vector-native from day one, we enable natural language queries that actually understand your application's context and business logic.
Our vision is a world where every engineering team has runtime intelligence that helps them ship faster, debug smarter, and understand their users better.
The Team
We understand the pain points because we've lived them. Every feature is designed with real engineering workflows in mind.
We believe the best products are those that disappear into your workflow. Logvine works with your existing tools, not against them.
We're not just adding AI to existing tools. We're reimagining observability for a world where natural language queries are the norm.