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Forage AI

95 employees

Forage AI is a leading AI-powered data extraction and automation company specializing in the collection, crawling, extraction, parsing, structuring, and delivery of data. Our solutions are designed to quickly and efficiently transform complex and unstructured data into valuable insights. Solutions: 1. Web Data Extraction: Extract valuable data efficiently from any website. - Business/Firmographic data from website, social media and news - Social media data extraction for profiles, values, insights, and sentiments - Automated News Aggregation & Analysis - Automated Web Data Monitoring - Custom Data Extraction on Demand 2. AI & ML Solutions: Use Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and custom ML modules for precise data delivery. 3. Intelligent Document Processing: Find and extract data accurately from unstructured and structured documents. Here's what sets us apart: 1. Comprehensive Coverage & High Precision: Our solutions encompass a wide range of data requirements with unparalleled accuracy. 2. Tailored Strategies: Develop customized solutions and strategies tailored to specific client needs. 3. Advanced Technology Integration: Harness state-of-the-art technologies such as ML, GenAI, NLP, and LLMs for advanced data processing. 4. Proven Methodologies: Implement battle-tested, reusable modules and techniques. 5. Rigorous QA & Human Oversight: Integrate intelligent human supervision with rigorous quality assurance for optimal outcomes. 6. Holistic Data Management: Oversee the complete data lifecycle, including reprocessing for data changes. 7. Flexible Web Crawling Capabilities: Manage both structured site crawling and unstructured data extraction effectively. 8. End-to-End Data Pipelines: Develop and oversee comprehensive data pipelines for seamless data integration and flow. Experience the never imagined potential of data extraction and automation with Forage AI.

Basic info

Industry

Technology, Information and Internet

Sectors

Technology, Information and Internet

Date founded

2017

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