Content Pipelines
From moderation to translation, each pipeline processes content at streaming speed.
Stream user-generated content, classify with AI into 5 moderation categories (safe, needs-review, hate-speech, spam, NSFW), and route each category to its dedicated moderation queue. Handles thousands of posts per minute with consistent classification quality.
The LLM Router node uses AI to classify content into exactly 5 output ports, each feeding a dedicated moderation queue. Safe content flows through automatically; flagged content is held for human review. No hardcoded rules — the AI adapts to evolving content patterns.
Ingest published articles, extract key topics with AI, generate meta descriptions, suggest internal links, produce structured data markup (schema.org), and store enriched metadata. Automates the SEO workflow that typically takes hours per article.
Process incoming news articles from multiple RSS/Kafka feeds, deduplicate, extract entities and topics with AI, assign to a multi-level taxonomy (politics, sports, tech, business, entertainment), generate summaries, and route to category-specific content queues for editorial review.
Take published content and translate it into 4 target languages (French, German, Spanish, Japanese) in parallel using separate AI prompt chains per language. Each translation preserves formatting, handles domain-specific terminology, and stores results in language-specific maps.
See AI-powered content pipelines running live. Book a 30-minute demo with our team.