Foundry

Foundry is a platform designed to support the development and evaluation of browser-based AI agents by providing deterministic web simulations and scalable annotation tools. This enables developers to collect high-quality labels, benchmark agent performance, and debug behaviors without the challenges posed by live web environments, such as web drift, IP bans, or rate limits.

Key Features

• Deterministic Web Simulation: Offers reproducible testing environments for browser agents, ensuring consistent evaluation conditions.
• Scalable Annotation Framework: Provides tools to collect high-quality labels efficiently, facilitating the creation of ground truth datasets for training and evaluation.
• Agent Debugging & Continuous Improvement: Supports the identification and resolution of agent performance issues, enabling ongoing enhancements.

Use Cases

• AI Agent Development: Facilitates the creation and refinement of browser-based AI agents by providing controlled testing environments.
• Performance Benchmarking: Enables the evaluation of agent capabilities under consistent conditions, aiding in performance assessment and comparison.
• Data Annotation: Assists in the generation of high-quality labeled datasets, crucial for supervised learning tasks.

Technical Specifications

• Web Simulation: Emulates browser interactions to provide a stable environment for agent testing.
• Annotation Tools: Includes features for labeling data efficiently, supporting various annotation tasks.
• Debugging Support: Offers functionalities to analyze and address agent performance issues.