Captain

What it does

Captain is a Y Combinator-backed startup (W26) that provides an automated Retrieval-Augmented Generation (RAG) service for files. It indexes unstructured data from various sources—including video, documents, images, audio, and handwriting—and enables search via a REST API. The platform claims 95% accuracy on needle-in-a-haystack retrieval tasks, compared to ~78% for manual RAG pipelines. Captain handles file processing (OCR, VLM, embeddings), storage, and hybrid search (keyword + semantic) out of the box. It integrates with cloud storage services like Azure Blob, GCP Storage, Amazon S3, SharePoint, Google Drive, Dropbox, Confluence, Slack, Gmail, and Notion.

Who it is for

Captain is designed for developers and enterprises building AI agents or knowledge retrieval systems that need to search across diverse file types. It targets teams that currently spend months building and maintaining custom RAG pipelines. The product is API-first, making it suitable for integration into existing workflows. Pricing tiers include a free tier (500 indexing credits/month, 1,000 queries/month), a Startup plan ($1,600/month with 83,000 credits and unlimited queries), and an Enterprise plan with custom pricing, on-premise options, and dedicated support.

Why it matters

Unstructured data (videos, PDFs, images, audio) is often underutilized because traditional search and RAG solutions struggle with retrieval quality. Captain claims to improve accuracy from ~78% to 95% using advanced NLP, embedding enrichment, and fan-out context windows. By automating indexing and search, it reduces the time to deploy a production-ready RAG system from months to minutes. The platform also includes role-based access control and SOC 2 Type II certification, addressing enterprise security and compliance needs.

Launch signal

Captain launched publicly on Hacker News as a YC W26 company. The founders, Lewis Polansky and Edgar Babajanyan, previously applied to YC three times and were accepted after pivoting from financial tech and business intelligence tools. They raised $9,000 from Purdue pitch competitions before YC. The launch post on LinkedIn by Edgar Babajanyan received 52 comments, and Y Combinator’s LinkedIn post about Captain garnered 167 reactions. The product is also benchmarked on MRAG-Bench (ICLR).

Brand and naming

The name "Captain" suggests leadership and command over data, aligning with the product's promise to "command your data." The tagline "Great agents have great search" positions Captain as an enabler for AI agents. The brand emphasizes accuracy (95%) and ease of use ("Two API calls"), with a nautical theme (ship icon, "Captain") that conveys reliability and navigation through data. The domain runcaptain.com is memorable and action-oriented.