Foundry is the ultimate platform for building and testing browser agents with precision. Enjoy reproducible web simulations, scalable annotation, and agent debugging—free from web drift or bans. Perfect for AI developers seeking reliable evaluation and continuous improvement. Boost your agent performance today with Foundry's deterministic tools.
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Created:
2025-04-01
Last Modified:
2025-04-01
Created:
2025-04-01
Last Modified:
2025-04-01
Foundry Product Information
What is Foundry?
Foundry is a platform designed for building, testing, and improving browser-based AI agents. It offers a deterministic web simulator, annotation tools, and scalable evaluation features to help developers collect high-quality data, benchmark agent performance, and debug issues without facing live web unpredictability like IP bans or rate limits.
Who will use Foundry?
Foundry is ideal for AI researchers, machine learning engineers, and developers working on browser automation or reinforcement learning (RL) projects. It’s also valuable for teams needing reproducible web environments for fair agent evaluation, scalable annotation for ground-truth labels, and continuous debugging of web agents.
How to use Foundry?
- Configure tasks and define evaluation criteria for browser agents.
- Use the deterministic web simulator to test agents in a controlled environment.
- Collect high-quality labels and annotations for reinforcement learning.
- Benchmark agent performance and identify areas for improvement.
- Debug issues without worrying about live web unpredictability like IP bans.
In what environments or scenarios is Foundry suitable?
Foundry is perfect for environments requiring stable, reproducible web testing, such as AI agent development, reinforcement learning training, and browser automation projects. It’s also suited for scenarios where scalable annotation, fair agent evaluation, and continuous performance debugging are essential, like research labs or tech companies building web-based AI solutions.
Foundry Features & Benefits
What are the core features of Foundry?
- Deterministic web simulator for reproducible testing
- Scalable annotation framework for high-quality labels
- Robust evaluation tools to benchmark browser agents
- Debugging capabilities for continuous agent improvement
- Protection against web drift, IP bans, and rate limits
What are the benefits of using Foundry?
- Ensures fair and consistent evaluation of browser agents
- Simplifies data collection for reinforcement learning (RL)
- Eliminates unpredictability of live web testing
- Streamlines agent debugging and performance optimization
- Built by industry experts for reliability and scalability
What is the core purpose and selling point of Foundry?
- Provides a deterministic platform for building and testing browser agents
- Combines web simulation, annotation, and evaluation in one tool
- Enables reproducible testing without live web unpredictability
- Focuses on high-quality data collection for RL and agent training
- Designed to solve challenges like web drift and rate limits
What are typical use cases for Foundry?
- Benchmarking and evaluating browser agent performance
- Collecting labeled data for reinforcement learning models
- Debugging and improving web automation agents
- Simulating web tasks in a controlled environment
- Training AI agents for scalable web interactions
FAQs about Foundry
What is Foundry and what does it do?
Foundry is a platform designed for building and evaluating browser agents. It provides tools like a deterministic web simulator and annotation framework to help developers collect high-quality labels, benchmark agents, and debug performance without dealing with web drift, IP bans, or rate limits commonly encountered on the live web.
How does Foundry help with web agent development?
Foundry assists web agent development by offering reproducible web environments for fair evaluation, scalable annotation for ground truth labels, and debugging tools for continuous improvement. Its deterministic simulator eliminates unpredictability, allowing developers to test and refine agents consistently.
What are the main features of Foundry?
Foundry's key features include a deterministic web simulator for stable testing, an annotation framework for label collection, agent benchmarking tools, and debugging capabilities. These features work together to create a controlled environment for developing and improving browser-based AI agents.
Can Foundry prevent IP bans during web agent testing?
Yes, Foundry's deterministic web simulation environment allows you to test and evaluate browser agents without risking IP bans or rate limits that typically occur when scraping or interacting with live websites. This makes agent development safer and more reliable.
Why use Foundry instead of testing agents on live websites?
Foundry eliminates the unpredictability of live web testing by providing a controlled, reproducible environment. Unlike live websites that can change unexpectedly, Foundry's simulator offers consistent conditions for fair agent evaluation, plus avoids issues like web drift, CAPTCHAs, and access restrictions.
How does Foundry handle data collection for AI agents?
Foundry provides a scalable annotation framework that helps collect high-quality ground truth labels for training and evaluating browser agents. This structured data collection process is specifically designed for reinforcement learning and continuous agent improvement.
What types of browser agents can be developed with Foundry?
Foundry is designed to support various browser automation agents, particularly those used for web interaction tasks, data collection, and automated workflows. Its platform is versatile enough for different agent types that require web simulation and evaluation capabilities.
Is Foundry suitable for reinforcement learning projects?
Yes, Foundry is well-suited for reinforcement learning projects involving web agents. The platform's ability to provide consistent environments and collect high-quality evaluation data makes it ideal for training and improving RL-based browser agents.
How does Foundry ensure fair evaluation of web agents?
Foundry ensures fair agent evaluation through its deterministic web simulator that creates identical testing conditions for every run. This reproducibility eliminates environmental variables that could skew performance metrics, allowing for accurate comparisons between different agent versions.
Who created Foundry and what's their expertise?
Foundry was built by industry experts specializing in web automation and AI agent development. While specific names aren't mentioned, the platform's sophisticated simulation and annotation capabilities demonstrate deep domain knowledge in browser agent technologies.
Foundry Company Information
Company Name:
Foundry
Website:
Analytics of Foundry
Traffic Statistics
1.6K
Monthly Visits
1.7
Pages Per Visit
49.77%
Bounce Rate
15
Avg Time On Site
Monthly Visits
User Country Distribution
Top 5 Regions
US
64.79%
CA
17.48%
MX
14.94%
SE
2.79%
Traffic Sources
Social
5.63%
Paid Referrals
0.83%
0.10%
Referrals
33.62%
Search
19.09%
Direct
40.32%
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