Data for AI
Fresh web data for AI models and agents
Collect, normalize and refresh public web datasets for training, evaluation, RAG and business automation.
Infrastructure
Data pipelines for model teams
Use collection APIs and proxy access to build datasets that stay fresh.Training and fine-tuning
Collect domain-specific public data for model improvement and evaluation.
RAG enrichment
Refresh knowledge sources with current pages, listings, reviews and search results.
Agent workflows
Give automation systems reliable access to the public web data they need.
Quality controls
Use stable schemas, repeatable jobs and reviewable usage records.
Workflow
AI data collection flow
Define target sources
Choose domains, search surfaces or data categories.
Collect through APIs
Run jobs through proxy-backed scraper and SERP infrastructure.
Normalize records
Convert web pages into structured rows and metadata.
Refresh datasets
Repeat collection and monitor usage inside the console.