foundry

foundry

Foundry is an enterprise-focused simulation and data engine for AI web agents that provides pixel-perfect, reproducible browser environments, evaluation tooling, and custom datasets to train and benchmark browser agents.

foundry is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#524 in AI Agents (524 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

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foundry

Foundry provides an enterprise-grade simulation and data engine for building, evaluating, and training AI browser agents. The platform emphasizes pixel-perfect, reproducible browser environments and comprehensive evaluation so agent actions are tracked, classified, and tagged. Foundry is aimed at teams building browser agents for real enterprise platforms and offers integrations via a Python SDK as well as access through a private beta program.

Platform for building, evaluating, and improving AI agents for business automation.

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Key Features

Simulation

Pixel-perfect, reproducible browser environments—no drift, no noise, no rate limits.

Evaluation

Every agent action is tracked, classified, and tagged—click failures, layout shifts, and misfires are never silent.

Data

Expert annotators generate custom, long-horizon datasets for supervised fine-tuning of browser agents on real enterprise platforms.

Reinforcement Learning (RL)

Safely sample and evaluate unlimited trajectories—train browser agents at scale, without anti-bot constraints.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Benchmark and evaluate browser agents

Compare agent performance using Foundry's evaluation tooling and benchmark results functionality.

Train agents on enterprise platforms

Generate expert-annotated, long-horizon datasets and sample unlimited trajectories to fine-tune and train browser agents at scale.

Integrate into existing agent workflows

Plug Foundry into existing workflows via the provided Python SDK to run agents against reproducible browser environments.

Integrations

Python SDK

Plug Foundry into existing agent workflows with a Python SDK; site includes sample code (AWE class, api_key usage, get_cdp_url, get_state, get_events).

CDP connection (cdp_url)

Environment exposes a cdp_url for agents to connect to the browser environment (shown in example SDK snippet).

Benefits

Reproducible, pixel-perfect browser simulations reduce noise and drift in agent evaluation.
Comprehensive action-level evaluation (click failures, layout shifts, misfires) for better diagnostics.
Faster iteration and evaluation (site claims: 5min setup time, 10x faster eval) and ability to train without anti-bot constraints.

Limitations

Platform access is gated via a private beta—requires applying for access.
Sample evaluation dataset is listed as 'Coming Soon', so sample data availability is currently limited.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Apply for Beta / Get Full Access by joining the private beta on the site.
  2. 2 Integrate Foundry into your workflow using the Python SDK (site provides a sample evaluation_loop.py snippet).
  3. 3 Run agents against tasks, collect final_state, mutations, and events, and compare results using benchmarks provided by Foundry.

Support

Contact page

Site includes a 'Contact Us' link for inquiries and support.

Documentation / SDK examples

Python SDK integration example and demo code snippets are provided on the site for developers.

API

Available: Yes
Rate Limits:

No rate limits (page states 'no rate limits' for simulation environments)

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