Captain builds an accurate file search engine designed for AI agents, giving them knowledge search that scales. The platform indexes data from sources such as S3, SharePoint, and Google Drive to enable multimodal, petabyte-scale content search. It positions itself as the Snowflake for unstructured data. Through embedding normalization techniques, Captain claims over 20% higher accuracy than standard RAG pipelines.
Captain
ActiveGive AI agents accurate knowledge search that scales
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Accurate file search engine purpose-built for AI agents
Indexing across unstructured sources like S3, SharePoint, and Google Drive
Multimodal content search across documents and file types
Petabyte-scale knowledge search architecture
Embedding normalization techniques for higher retrieval accuracy
Claimed 20%+ accuracy improvement over standard RAG pipelines
Knowledge search designed to scale with agent workloads
Connectors to common enterprise data repositories
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- How is Captain different from a standard RAG pipeline?
- Captain uses embedding normalization techniques to improve retrieval accuracy and claims over 20% higher accuracy than standard RAG pipelines on unstructured data.
- What data sources can Captain index?
- It indexes unstructured data from sources such as Amazon S3, SharePoint, and Google Drive for multimodal, large-scale search.
- Who is Captain built for?
- It is built for teams giving AI agents knowledge search, positioning itself as a scalable file search engine for unstructured data.
- What scale of data can it handle?
- Captain is designed for petabyte-scale, multimodal content search across enterprise repositories.
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