Captain

Captain is a fully-managed knowledge retrieval engine for enterprises that powers AI agents with high-accuracy search over unstructured data. It replaces manual RAG pipeline construction with a single API call, handling OCR, chunking, embedding, vector storage, and re-ranking automatically. Backed by Y Combinator (W26), Captain improves typical RAG accuracy from ~78% to 95% using advanced NLP, embedding enrichment, and fan-out context windows. It connects to existing cloud storage systems in minutes with no data migration required.

• Universal Indexing — Auto OCR + VLM, file conversions, and best-in-class embeddings handle text, PDFs with tables/images, and code files automatically.
• Captain Collections — Managed vector storage is built-in, eliminating the need for an external vector database.
• Agentic + Hybrid Search — Weighted keyword and semantic search with re-ranking and configurable top-k results via a simple REST API.
• Cloud Storage Integrations — Connect directly to Amazon S3, Google Cloud Storage, Azure Blob, SharePoint, Google Drive, Dropbox, Confluence, Slack, Gmail, and Notion.
• Role-Based Governance — Attach custom metadata to files at index time and filter queries with granular operators to enforce role-based access across any collection.
• SOC 2 Type II Certified — Enterprise-grade infrastructure security, independently audited and penetration tested.
• Credit-Based Pricing — Transparent per-page credit pricing based on document complexity (text, basic, or advanced pages), with overage rates and bulk discounts available.
• Captain Datasets — Access to a private market dataset (Captain Odyssey) available on Enterprise plans.
• Streaming & Re-ranking — API supports streaming responses, inference, and re-ranking in a single request for production-ready agentic workflows.