Description
Foundry redefines browser intelligence by delivering the world's most advanced simulation and data engine specifically designed for AI web agents. This platform empowers developers to build, test, and optimize browser-based AI agents with unprecedented reliability and scale.
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At its core, Foundry provides pixel-perfect, reproducible browser environments. This means no more dealing with the inconsistencies of live web browsing, such as drift, noise, or rate limits, ensuring that simulations are always accurate and repeatable. This foundational capability is crucial for developing robust AI agents that can perform complex tasks reliably.
Evaluation is a critical component of Foundry's offering. Every action taken by an AI agent is meticulously tracked, classified, and tagged. This detailed logging ensures that failures, layout shifts, and misfires are never overlooked, providing developers with comprehensive insights for debugging and improvement. This granular feedback loop is essential for iterative agent development.
Foundry also excels in data generation. Expert annotators create custom, long-horizon datasets tailored for supervised fine-tuning of browser agents. These datasets are built on real enterprise platforms, ensuring that the trained agents are relevant and effective in practical business scenarios. This focus on high-quality, enterprise-specific data sets Foundry apart.
For advanced training, Foundry offers unlimited reinforcement learning capabilities. Developers can safely sample and evaluate an unlimited number of trajectories, allowing for large-scale training of browser agents without the usual constraints imposed by anti-bot measures. This feature accelerates the learning process and enhances agent capabilities.
Integration is straightforward, with Foundry plugging into existing agent workflows via a Python SDK. The platform is built by experts from leading institutions, ensuring a high level of technical sophistication and reliability. Foundry is ideal for enterprises looking to leverage AI for automating web-based tasks, data extraction, and complex user interactions within browser environments.
- CategoryAI Agent Builders
- DeploymentCloud
- PlatformsWeb
Foundry's Core Features
Deterministic browser simulation environments
Reproducible browser environments
No web drift, IP bans, or rate limits
Comprehensive agent action tracking and classification
Structured error classification
Custom, long-horizon datasets for supervised fine-tuning
Unlimited reinforcement learning trajectories
Python SDK for seamless integration
Expert annotators for data generation
Real enterprise platform data
How to use Foundry?
Integrate: Plug Foundry into your existing agent workflow using the Python SDK.
Configure Environment: Initialize the AWE environment with your API key and task ID, enabling event recording.
Get Task Details: Retrieve task information, including prompts, start URLs, and credentials.
Reset Environment: Reset the environment to its initial state.
Run Agent: Execute your AI agent using the task prompt and environment details.
Retrieve Results: Obtain the final state, state mutations, and events from the environment.
Evaluate Performance: Compare the agent's results against ground truth to score performance.
Foundry's Use Cases
- AI Agent Training
- Web Data Extraction
- Automated Web Tasks
- Agent Performance Evaluation
- Simulation for AI
- Enterprise Web Intelligence
