Enterprise simulation and data engine for AI web agents, providing deterministic snapshots and unlimited RL training.
Foundry is an enterprise-grade simulation and data engine for AI web agents. It provides deterministic web snapshots, structured error classification, and unlimited reinforcement learning to produce high-quality enterprise data, evaluate reliably, and optimize performance at scale—without web drift, IP bans, or rate limits.
Key Features
check_circlePixel-perfect browser simulation
check_circleStructured error classification
check_circleUnlimited reinforcement learning
check_circleDeterministic web snapshots
check_circleExpert-annotated datasets
check_circlePython SDK integration
check_circleCDP URL integration
check_circleEvent tracking and evaluation
Use Cases
lightbulbAI researchers train browser agents on reproducible web environments, eliminating drift and noise to achieve consistent performance benchmarks.
lightbulbEnterprise teams generate custom long-horizon datasets for supervised fine-tuning of web agents on real platforms like Salesforce or SAP.
lightbulbQA engineers evaluate agent actions by tracking every click, layout shift, and failure, enabling precise debugging and improvement.
lightbulbData scientists sample and evaluate unlimited agent trajectories without anti-bot constraints, scaling reinforcement learning safely.
lightbulbProduct teams integrate Foundry's Python SDK into existing agent workflows to automate testing and validation of browser-based tasks.
lightbulbCompliance officers use deterministic snapshots to audit agent behavior and ensure adherence to enterprise policies.
AI agentsweb agentssimulationreinforcement learningenterprise databrowser automationevaluationdata generation
