Forage AI Your AI-powered data extraction and automation partner.

What is Forage AI?

Forage AI provides specialized data automation solutions, utilizing advanced AI technology for web data extraction and intelligent document processing. The service offers custom web scraping capabilities, suitable for large-scale data collection from numerous public websites, including business, social media, and news sources. It also features website change monitoring to keep data current. Additionally, Forage AI automates data extraction from various documents, transforming both structured and unstructured information into accessible formats through sophisticated AI and enhanced Optical Character Recognition (OCR).

Furthermore, Forage AI develops advanced AI-powered pipelines and chatbots that integrate internal and external data sources. Employing capabilities like Retrieval-Augmented Generation (RAG) and precise AI classification, it automates complex tasks and workflows tailored to specific data and infrastructure needs. The platform emphasizes delivering clean, reliable, and ready-to-use data with strong governance, ensuring data confidentiality and compliance. Forage AI positions itself as a partner to manage data extraction and pipeline maintenance, allowing businesses to focus on leveraging data for insights and decision-making.

Features

Custom Web Scraping: Tailored data extraction from any public website at scale using AI models.
Intelligent Document Processing (IDP): Automated data extraction from structured and unstructured documents using AI and enhanced OCR.
AI-Powered Pipelines & Chatbots: Solutions leveraging GPT capabilities and RAG to automate tasks and integrate data sources.
Website Change Monitoring: Tracks content changes on specified websites.
Social Media Data Extraction: Specialized scraping for social media platforms.
News Data Extraction: Automated aggregation of online news articles.
Data Store: Marketplace of ready-to-use datasets across various industries.
Agentic AI: Utilizes agentic AI principles for advanced automation.
Retrieval-Augmented Generation (RAG): Enhances AI responses with external data retrieval.

Use Cases

Automating data collection for financial services.
Gathering market intelligence for e-commerce businesses.
Extracting data for AI model training and development.
Monitoring competitor websites for pricing and product changes.
Aggregating news and social media mentions for brand monitoring.
Processing legal documents for information extraction.
Automating data entry from invoices, reports, and forms.
Building custom data feeds for specific industry needs (e.g., real estate, healthcare).