Wondersearch
Wondersearch is a YC Fall 2026 (F26) company. Based in San Francisco, CA, USA. Team of 2.
About Wondersearch
Summary
Wondersearch builds serverless semantic search for AI agents and developers who need to make data searchable by meaning without embedding pipelines, vector databases, or ingestion steps. Developers connect files and data sources once, and the content is immediately queryable through an API, CLI, Python SDK, or MCP. It replaces the work of building and maintaining RAG stacks so agents can retrieve relevant context and source citations on demand.
Business model
Per-query pricing, with storage billed separately at object storage rates.
Go-to-market
Developer teams adopt it self-serve to search their own documents and knowledge, and product teams integrate it into apps, help centers, and AI features via API and SDK.
From the Y Combinator listing
Instant semantic search over your data without embeddings.
Our mission is to give every AI agent the right context, from any amount of data. WonderSearch is search built for AI agents. We let developers make all of their data searchable by meaning, without embeddings, servers or ingestion, so agents can pull the right context and cite where it came from. Unlike vector databases and RAG stacks, there's no pipeline to build or maintain: connect your files and data, and they're searchable right away. It runs on our own search model, and you pay only per query, whatever the size of your data. Teams use WonderSearch across their own documents and knowledge, and build it into their products, help centres and AI features, connecting through MCP, our API, the CLI or the Python SDK. (Evokoa, Inc. is the company behind WonderSearch.)
Facts
- B2B / B2B -> Infrastructure
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
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