Shofo
We 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.
Y Combinator
yc-company-directory #5850We 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.
sourceShofo 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 Shofo
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.
Secoda
match 48We believe that finding the right data shouldn’t require a technical background or hours of digging. That’s why Secoda applies AI to transform messy, siloed analytics into a searchable, intuitive knowledge layer—so every question gets a fast, useful answer. Our vision is to become the AI search engine for your company’s analytics, making data discovery as seamless as finding a website on Google. To do that, Secoda gets data AI-ready by unifying governance, cataloging, observability, and lineage
shared extracted concept terms: searchable; shared product terms: find, hour, searchable, search; shared product theme: context and memory; shared affiliation: Y Combinator
rift
match 48rift is B2B lead routing made simple. Inbound workflows leak revenue at every step. Routing is manual. Calendar links are generic. No-shows go unrecovered. The handoff between form fill and booked meeting is where pipeline quietly dies. rift fixes that. One system for the full inbound lifecycle: > Capture. Custom web forms that collect and qualify leads in real time. > Route. Instant validation, enrichment, and assignment to the right rep. > Schedule. Top prospects get the best calendar slots, m
shared extracted concept terms: pipeline; shared product terms: top, route, pipeline, custom; shared product theme: context and memory; shared affiliation: Y Combinator
Captain
match 46Captain 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
shared extracted concept terms: pipeline; shared product terms: deliver, search, index, pipeline; same category: AI agents; shared affiliation: Y Combinator
Extend
match 35Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.
shared extracted concept terms: pipeline; shared product terms: extract, pipeline, month; shared affiliation: Y Combinator
screenpipe
match 27screenpipe record and learns how you work and turns it into a searchable memory, SOPs, and AI agents. Data is stored on your device or where your team choose, open source.
shared extracted concept terms: searchable; shared product terms: searchable; shared product theme: context and memory; same category: AI agents; shared affiliation: Y Combinator
Fitnescity
match 26At Fitnescity, we're building the future of lab testing as a multi-billion dollar, mass-market consumer product.
shared extracted concept terms: lab; shared product terms: lab, billion