Captain
Captain delivers the most accurate file search engine built for AI agents. We’ll index data from the sources folks already use like S3, SharePoint, and Google Drive, and easily scale multimodal, petabyte-level content search. We’re the Snowflake for Unstructured Data. Captain tops the Open-RAG-Benchmark with over 20% higher accuracy than standard RAG pipelines. We achieve this through robust data processing techniques like embedding normalization across modalities, ensuring that representations
Y Combinator
yc-company-directory #6029Captain delivers the most accurate file search engine built for AI agents. We’ll index data from the sources folks already use like S3, SharePoint, and Google Drive, and easily scale multimodal, petabyte-level content search. We’re the Snowflake for Unstructured Data. Captain tops the Open-RAG-Benchmark with over 20% higher accuracy than standard RAG pipelines. We achieve this through robust data processing techniques like embedding normalization across modalities, ensuring that representations
sourceCaptain is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Captain
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Unsiloed AI
match 69AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets. Our APIs are already parsing hundreds of tho
shared extracted concept terms: rag, pipeline; shared product terms: already, multimodal, unstructur, rag; shared product theme: workflow automation; same category: AI agents; shared affiliation: Y Combinator
JustSpotted
match 49The artist-formerly-known-as Scoopler is a real-time search engine. It aggregates and organizes content being shared on the Internet as it happens, like eye-witness reports of breaking news, photos and videos from big events, and links to the hottest memes of the day. It does this by constantly indexing live updates from services including Twitter, Flickr, Digg, Delicious and more. When users search for a topic on Scoopler, they get the most relevant results, updated in real-time. Scoopler has n
shared product terms: most, search, engine, index; shared affiliation: Y Combinator
Ark
match 49Ark.com is a search engine for people. With Ark, you can search for new people, old classmates, new business contacts, and even your friends. With over a billion social network profiles indexed, and using a modern architecture, Ark provided the most comprehensive people search engine in the world. Prior to founding Ark, our team has experience at Google, AOL, Symantec, Lithium, Yahoo! Research and Y-Combinator.
shared product terms: search, engine, over, index; shared affiliation: Y Combinator
Shofo
match 46We are building the world’s largest video library. We've aggregated billions of videos into a searchable index and use agents to find and label the exact datasets a lab needs on demand. If a lab needs 100K hours of cooking videos where someone is holding a pan, with reasoning annotations on top, our agents search the index, extract the matching subset, route it through our labeling pipeline, and deliver a custom dataset in days, not months.
shared extracted concept terms: pipeline; shared product terms: deliver, search, index, pipeline; same category: AI agents; shared affiliation: Y Combinator
Mathos
match 46Mathos AI (Formerly MathGPTPro) is the leading AI math solver that enables academic performance and productivity of both students and teachers. It has empowered over 1M students from over 200 countries in the past year, which turns the previously mission-impossible personalized learning into real. Our advanced math AI model achieves roughly 20% higher accuracy in mathematical and quantitative problem-solving capabilities then GPT4o. As we move forward, we will tackle the hardest problems in the
shared product terms: over, 20, higher, accuracy; shared product theme: workflow automation; shared affiliation: Y Combinator
Etleap
match 40Etleap is an ETL solution for creating perfect data pipelines from day one. Unlike other enterprise solutions, Etleap doesn’t require extensive engineering work to set up, maintain, and scale. It automates most ETL setup and maintenance work, and simplifies the rest into 10-minute tasks that analysts can own.
shared extracted concept terms: pipeline; shared product terms: pipeline, scale, most; shared product theme: workflow automation; shared affiliation: Y Combinator