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What is Foundry?

Foundry is an advanced enterprise platform designed to simulate, evaluate, and generate data for AI web agents operating in browser environments. Built by experts from Scroll, Foundry addresses the challenges of creating reliable, scalable, and high-fidelity browser agents by providing pixel-perfect, reproducible browser simulations without noise or rate limits. It tracks and classifies every agent action to ensure accurate evaluation and offers custom datasets generated by expert annotators for fine-tuning agents on real enterprise platforms. Foundry supports reinforcement learning by safely sampling and evaluating unlimited trajectories, enabling training at scale without anti-bot restrictions. This tool is ideal for AI developers, researchers, and enterprises looking to build, benchmark, and improve browser-based AI agents within their workflows.

AI Tool Review Summary

Performance Score

4.7/5

Content/Output Quality

Accurate, detailed, and actionable

Interface

Developer-focused with Python SDK integration

AI Technology
LLMReinforcement LearningSimulationData Annotation
Purpose of Tool

To provide a robust simulation and evaluation environment for building and benchmarking AI web agents.

Compatibility

Integrates via Python SDK into existing AI agent workflows and supports enterprise platform environments.

Pricing

Private beta access with custom enterprise pricing

Features

Features with the highest value for users are highlighted here.

Pixel-perfect browser simulation

Comprehensive agent action tracking

Custom long-horizon datasets

Reinforcement learning at scale

Python SDK integration

How It Works

1

Apply for Access

Submit an application to join the private beta and unlock platform features.

2

Integrate SDK

Use the Python SDK to connect Foundry with your existing AI agent workflows.

3

Simulate and Evaluate

Run pixel-perfect browser simulations and track agent actions for detailed evaluation.

4

Train and Benchmark

Leverage custom datasets and reinforcement learning to train agents and compare performance.

Who Is It For?

AI Researchers

Enterprise Developers

Data Scientists

QA Engineers

Product Managers

Startups

Machine Learning Engineers

Automation Specialists

Technical Leads

AI Consultants

Pricing

Popular

Private Beta

Custom/custom
  • Full platform access
  • Python SDK integration
  • Custom dataset generation
  • Benchmarking tools

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Pros & Cons

Pros

  • Highly accurate and reproducible simulations
  • Detailed evaluation and error classification

Cons

  • Access currently limited to private beta
  • Sample datasets not yet publicly available

FAQs

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Rating

5.0

Pros

Cons

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