Forage AI Tech Stack

AI-powered web data extraction and document processing at scale

Technology, Information and Internet New York, NY 51–200 employees Founded 2017 Privately Held

Forage AI extracts and structures unstructured data from websites, documents, and social feeds using Python, LangChain, CrewAI, and LLaMA Index. The stack reveals a mature data-extraction operation: web scrapers (Scrapy, Selenium, Playwright, BeautifulSoup) feed into cloud pipelines (Airflow, Kafka, Spark) running on AWS/GCP/Azure, with RAG and LLM layers (LangChain, LlamaIndex) layered on top. Current pain points—high-quality dataset delivery and scaling large-scale processing—align with hiring: the company is adding engineers and data roles, suggesting they're investing in both extraction pipeline reliability and ML-infused document parsing.

Tech Stack 42 technologies

Core StackPython AWS LangChain Selenium Playwright Docker Kubernetes Terraform CloudFormation Jenkins Apache Airflow Apache Spark Kafka AWS Lambda AWS RDS DynamoDB CloudWatch GitLab CI/CD TensorFlow GCP Azure XPath CrewAI LlamaIndex Scrapy BeautifulSoup AWS ECS AWS EKS AWS SQS AWS SNS+12 more

What Forage AI Is Building

◆Challenges

High-quality dataset delivery
Scaling large-scale data processing systems
Integrating genai into existing systems

▲Active Projects

Extraction-qa-feedback-delivery pipeline
Process workflow optimization
Ai support
Python automation scripts for developer workflows
Standardized deployment frameworks
Observability platform implementation

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Engineering

Data

Finance

Seniority

Junior

Intern

Mid

Senior

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About Forage AI

Forage AI is a data-extraction-as-a-service company founded in 2017 and based in New York. The company specializes in three product areas: web data extraction (scraping business and firmographic data, social profiles, news), intelligent document processing (parsing unstructured and structured documents), and AI/ML solutions using retrieval-augmented generation and large language models. The platform serves B2B buyers who need to turn public web data and internal documents into structured, actionable insights. With 51–200 employees and active hiring in engineering and data roles, the company is scaling infrastructure to handle larger extraction volumes and deeper AI integration.

HeadquartersNew York, NY

Company Size51–200 employees

Founded2017

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Forage AI use?

Python, Scrapy, Selenium, Playwright, BeautifulSoup for web scraping; LangChain, CrewAI, LlamaIndex for LLM/RAG layers; Apache Airflow, Kafka, Spark for data pipeline orchestration; AWS, GCP, Azure for cloud infrastructure; Docker, Kubernetes, Terraform for deployment.

What is Forage AI working on?

Current projects include extraction-QA feedback delivery pipelines, process workflow optimization, AI support integration, Python automation for developer workflows, standardized deployment frameworks, and an observability platform implementation.

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How this profile is built

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.