Forage AI builds and operates custom data extraction pipelines, from web crawling to document parsing, for companies whose products and AI systems run on external data. Its stack pairs Playwright-based crawling and Python services (FastAPI, Flask, RabbitMQ) with LangChain, LangGraph and RAG tooling, a sign the extraction backbone is being extended into GenAI-assisted enrichment. Accelerating, engineering-led hiring in India points to scaling crawler capacity.
Forage AI is a privately held company founded in 2017 and headquartered in New York, NY, with 51–200 employees. It delivers fully managed data collection services: web data extraction across large source sets, intelligent document processing for PDFs, filings and scanned documents, and AI-oriented services such as RAG-ready datasets, entity matching and NLP. Clients specify the fields, sources, format and delivery cadence, while Forage AI handles crawling, parsing, quality assurance and ongoing maintenance. Its target buyers include enterprise data teams, data product companies, data platforms and AI training efforts.
Forage AI uses Python, FastAPI, Flask, Playwright, RabbitMQ, AWS (Lambda, SQS, RDS, ECS, EKS), GCP, Azure, Docker, Kubernetes, Terraform, LangChain, LangGraph and HubSpot.
Forage AI is headquartered in New York, NY, and its current hiring is concentrated in India, led by senior and mid-level engineering roles alongside HR and marketing.
Job posts point to generic reusable crawling frameworks, GenAI-assisted data extraction and enrichment workflows, end-to-end automated pipelines, and AI agents for content production.
Other companies in the same industry, closest in size
Forage AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
