F

Foundry

3.6
💬137
💲Free

Foundry is a powerful tool for developing and testing AI agents, especially browser-based ones. It offers a controlled environment for building, evaluating, and refining agents to automate business tasks. With features like a deterministic web simulator and scalable annotation framework, it helps users avoid common issues like web drift and IP bans while collecting quality data for reinforcement learning.

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Platform
web
AI agentsAgent evaluationAnnotationAutomationBrowser agent metricsBrowser agent testingBrowser agents

What is Foundry?

Foundry is a platform designed for building, evaluating, and improving AI agents to automate business processes. It is particularly useful for creating browser agents that can handle tasks like customer support, hiring, and sales. The platform allows users to configure tasks, define evaluation criteria, and collect high-quality data for reinforcement learning. Foundry provides a deterministic web simulator and an annotation framework, enabling users to benchmark agents and debug performance without concerns about web drift, IP bans, or rate limits.

Core Technologies

  • Reinforcement Learning
  • Browser Agents
  • Web Simulation
  • Annotation Framework
  • Agent Evaluation

Key Capabilities

  • Build AI agents for business automation
  • Evaluate agent performance
  • Collect high-quality data for training
  • Simulate web environments deterministically
  • Benchmark and debug AI agents

Use Cases

  • Automate customer support using AI agents
  • Improve hiring processes with AI-driven tools
  • Enhance sales strategies through AI automation
  • Test and refine AI agents in a controlled environment
  • Collect and analyze agent performance data

Core Benefits

  • Provides a reproducible testing environment
  • Enables high-quality data collection
  • Supports scalable agent evaluation
  • Eliminates web drift and IP ban issues
  • Facilitates efficient agent debugging

Key Features

  • Deterministic web simulation
  • Scalable annotation framework
  • Agent evaluation and benchmarking
  • Data collection for reinforcement learning

How to Use

  1. 1
    Configure tasks for your AI agents within the platform.
  2. 2
    Define evaluation criteria to measure agent performance.
  3. 3
    Use the web simulator to test agents in a controlled environment.
  4. 4
    Collect and annotate data for reinforcement learning.
  5. 5
    Analyze results and refine agent behavior.

Frequently Asked Questions

Q.What is Foundry?

A.Foundry is a platform for building, evaluating, and improving AI agents, particularly browser agents, for automating business processes.

Q.What are the key features of Foundry?

A.Key features include a deterministic web simulator, a scalable annotation framework, and tools for agent evaluation and benchmarking.

Q.What problems does Foundry solve?

A.Foundry addresses challenges like web drift, IP bans, and rate limits by providing a controlled and reproducible web environment for agent development and testing.

Q.Who benefits from using Foundry?

A.Foundry is ideal for developers and teams working on AI agents for business automation, including those focused on customer support, hiring, and sales.

Q.Is Foundry suitable for beginners?

A.Foundry may require some expertise in reinforcement learning and AI agent development due to its advanced features and configuration options.

Pros & Cons (Reserved)

✓ Pros

  • Reproducible testing environment
  • High-quality data collection
  • Scalable agent evaluation
  • Deterministic web simulation eliminates web drift issues

✗ Cons

  • May require expertise in reinforcement learning
  • Annotation framework may require manual effort

Alternatives

No alternatives found.