Foundry - 2026 Pricing, Features, Reviews & Alternatives

Foundry is a cloud-based platform for AI and ML engineering teams building, evaluating, and benchmarking browser-based agents. It provides deterministic web environment simulation that eliminates web drift, IP bans, and rate limits during agent training and evaluation, enabling reproducible and consistent benchmarking across runs. A Python SDK supports workflow integration, and configurable task definitions with ground-truth comparison allow teams to measure agent performance against standardized baselines. A public leaderboard tracks agent success rates and task completion times across evaluations in real time.

The platform includes the Agent Web Engine (AWE), an unlimited reinforcement learning environment for training and improving browser agents at scale. Structured error classification surfaces failure modes with diagnostic precision, while deterministic task replay delivers consistent RL signals for credit assignment and error recovery research. Domain-specific benchmark suites, including SDRBench for enterprise SaaS workflows such as prospecting, outreach, qualification, and handoff, support multi-stage workflow evaluation and cross-application state persistence across tasks.

Foundry targets enterprise organizations developing web automation, AI/ML research teams benchmarking large language model agents on real-world tasks, and sales development and outreach automation use cases. The platform supports high-quality data collection for reinforcement learning at scale and provides leaderboard-ready baselines for comparing agent performance, making it suited for teams that require rigorous, reproducible infrastructure for browser agent development and evaluation.