Captain
Self-tuning file search for AI agents.
Captain is a file search platform that ingests documents, images, audio, video, and spreadsheets from cloud storage and object stores, then exposes ranked results through a single query API. It addresses the problem of searching complex files such as scanned PDFs, DOCX documents, and video, where parsing quality and retrieval accuracy determine whether content is findable.
The platform includes Captain Search, a fully managed file search API covering OCR, embeddings, vector storage, and evaluation; Captain Evals, which builds Q&A evaluations from your own files and tunes retrieval toward accuracy or latency targets; and Captain Sync, which keeps indexes current via bucket change notifications and scheduled reconciliation. Advanced search controls include metadata filters, semantic ratio tuning, boosts, and chunk relations. It supports PII masking at index time, cross-cloud indexing from sources like S3, R2, GCS, Supabase, and Backblaze, and integration with MCP-compatible coding agents. Observability features cover usage insights, knowledge gap discovery, and retrieval attack detection.
Captain offers a free Developer plan with usage-based pricing, a Scale plan with bulk credits and unlimited queries, and an Enterprise tier supporting BYOC, private networking, and custom deployment. Indexing is credit-based by file type and processing level, with query credits billed separately on the Developer plan.
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