UltraCrawler continuously crawls and cleans the web at scale, then delivers structured, categorized, licensed datasets directly to AI companies — for training, fine-tuning, and retrieval-augmented generation. No crawling infrastructure required.
A fleet of crawlers working in parallel — discovering, structuring, and licensing web data for AI companies at scale.
Three steps, fully automated, running continuously.
Millions of pages across news, reference, technical, and community sites — discovered, prioritized, and crawled on a continuous schedule.
Pages are rendered, de‑duplicated, cleaned of navigation and ads, then chunked, tagged, and scored for quality.
Structured datasets are delivered via API, bulk export, or custom feed — under clear licensing terms.
Everything you need to ground, train, and fine-tune your models on real web content — without operating your own crawling infrastructure.
Continuous discovery and crawling across millions of domains, including JavaScript‑rendered content.
Every page is topic‑tagged, de‑duplicated, and scored for quality before it reaches you.
Boilerplate‑free text, semantic chunking, and rich metadata ready for training or embedding.
Sourced with clear licensing terms and respect for publisher rights — safe for commercial model training.
Bulk export, streaming API, or custom feeds tailored to your training or retrieval pipeline.
News, reference, technical documentation, and forums — sourced from a growing, opt‑in publisher network.
License large, categorized, high‑quality web corpora to pretrain or fine‑tune your models.
Ground your model's answers in current, source‑attributed web content instead of stale training data.
Power search and assistant products with continuously refreshed, structured web data.
Use categorized, quality‑scored datasets to test and benchmark model outputs against real‑world content.
Request a sample dataset and see structured, categorized output for yourself.