Shofo

Product & Competitive Intelligence

World's largest structured video library and social media data API for AI model training.

Company Overview

Builds the world's largest structured video library and social media data API platform, enabling AI labs, enterprises, and developers to access millions of hours of cleaned, segmented, and labeled video datasets for machine learning model training.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

Shofo has publicly announced its core video dataset platform and social media data APIs covering TikTok, LinkedIn, Instagram, and X. They've detailed plans for custom dataset creation, enhanced video segmentation and labeling, and developer-friendly API access.

Signals & Private Analysis

The team's prior work on Correkt (multimodal AI search with 40K+ users) signals deep internal tooling for semantic video indexing. Community engagement hints at upcoming vertical-specific datasets and a likely enterprise tier.

Product Roadmap Priorities

Computer Vision Annotation
Improving
Operational Efficiency
Engineering

Automated large-scale video segmentation, object detection, and metadata tagging using computer vision models to transform raw video into structured, labeled datasets ready for AI training.

In Plain English

Shofo uses AI to automatically watch, chop up, and label millions of videos so AI researchers don't have to do it by hand.

Analogy

It's like hiring a million interns who can watch every video on the internet simultaneously, take perfect notes on everything they see, and file it all neatly before lunch.

Multimodal Semantic Search
Improving
Product Differentiation
Product

Semantic search and cross-modal retrieval system enabling natural language queries across millions of video hours, matching text descriptions to visual and audio content using multimodal embeddings.

In Plain English

Shofo lets you search millions of videos by typing what you're looking for in plain English — like Google, but for the inside of every video ever posted.

Analogy

It's like having a librarian who has personally watched every video on the internet and can instantly find the exact 12-second clip you're thinking of based on a vague description.

NLP Entity Enrichment
Improving
Decision Quality
Data

Intelligent social media data extraction and enrichment pipeline that uses NLP and entity recognition to transform raw platform data from TikTok, LinkedIn, Instagram, and X into structured, analytics-ready datasets.

In Plain English

Shofo uses AI to read and understand every social media post and profile, automatically tagging who's mentioned, what's being discussed, and how people feel about it — so companies can make smarter decisions faster.

Analogy

It's like having a team of analysts who read every single social media post in the world, highlight the important parts, and hand you a perfectly organized spreadsheet — updated every few minutes.

Company Overview

Key Team Members

  • Bryan Hong, Co-Founder & CEO
  • Alex, Co-Founder & CTO
  • Braiden, Co-Founder & COO
  • Andre, Co-Founder & Head of AI

The founding team previously built Correkt, an AI search engine for multimodal content that reached 40,000+ users, giving them battle-tested infrastructure for large-scale video indexing, semantic search, and annotation.

Funding History

  • 2025 | Bryan Hong, Alex, Braiden, and Andre co-found Correkt (AI multimodal search, 40K+ users).
  • 2026 | Team pivots to Shofo, accepted into Y Combinator Winter 2026 batch.
  • 2026 | $500K investment from Y Combinator.

Competitors

  • Video/Image Dataset Providers: Scale AI, Labelbox, V7 Labs.
  • Social Media Data APIs: Bright Data, Apify, Phantom Buster.
  • AI Training Data Marketplaces: Hugging Face Datasets, Kaggle Datasets, CommonCrawl.
  • Video Understanding Platforms: Twelve Labs, Runway (video AI).