What is “Data for AI” (Forage AI)
Data for AI is Forage AI’s solution for delivering AI-ready training data—fully extracted, cleaned, and structured—so teams can train or fine-tune machine-learning models without handling complex data collection workflows. Instead of manually scraping, parsing, and formatting data from multiple sources, Forage AI provides high-quality datasets directly in ML-friendly formats.
What Types of Data Are Supported?
Forage AI processes data from:
- Webpages and dynamic websites
- Documents such as PDFs, company reports, financial filings, research papers, and presentations
- Public records and government information
- Market data and structured tables
- Images, charts, and visual information
- Social media and community-generated content
- Other unstructured and semi-structured sources
Scale of coverage:
- 500M+ websites crawled
- 10M+ documents parsed
- 50,000+ datasets available
- Coverage across 20+ industries
Two Modes: Custom Extraction vs Ready-Made Datasets
1. Custom Data Extraction
For specialized needs, Forage AI provides:
- Tailored extraction and parsing workflows
- Dataset annotation
- Flexible output formats
- High-volume processing (millions of records)
- A dedicated extraction team for end-to-end support
2. Ready-Made Datasets
Pre-processed, validated, and consistently structured datasets ready for immediate integration into AI and ML workflows.
Why Leading Brands Trust This Data Extraction Process
- Precision extraction: AI-powered methods deliver highly accurate, structured data.
- Broad data coverage: Supports multiple formats and source types for richer model training.
- Strong ML expertise: Built with deep knowledge of machine learning and data processing.
- Ethical and compliant: Follows global data standards like GDPR and CCPA to ensure responsible usage.
Who Benefits from Data for AI?
Ideal for teams that need:
- Clean, structured data for training or fine-tuning ML models (LLMs, NLP, document AI, analytics models)
- Automated workflows that turn unstructured web and document data into usable ML inputs
- Industry-specific data across finance, healthcare, real estate, social media, market research, public records, and more
