Foundry

Platform for building, testing, and training web-browsing AI agents.

4.8 (4)

შეფასებული Daniel Nikulshyn·განახლდა მაისი, 2026

Web Automation Training AI Agents Testing & Evals Debugging Developer Tools Benchmarking

მიმოხილვა

Foundry is a development platform focused on AI agents that operate across the web. It gives builders the infrastructure to design agents, run them against real or simulated browsing tasks, and iterate on their behavior with structured evaluations. Beyond construction, Foundry emphasizes the training and testing loop. Developers can benchmark agent performance, capture failure cases, and refine models or prompts to improve reliability on tasks like navigation, form filling, data extraction, and multi-step workflows. The tool is aimed at teams shipping production-grade browser agents who need repeatable evaluation, debugging visibility, and continuous improvement rather than one-off scripts.

ძირითადი ფუნქციები

Agent development environment
Automated testing on browsing tasks
Training and fine-tuning workflows
Performance benchmarking and evals
Debugging and trace inspection
Iterative improvement tooling

გამოყენების შემთხვევები

Build production web-browsing agents

Design and iterate on AI agents that navigate websites, fill forms, and complete multi-step workflows using Foundry's dedicated development environment.

Benchmark agent reliability

Run automated tests across real or simulated browsing tasks and use structured evaluations to measure performance and track improvements over time.

Debug and fix failure modes

Inspect traces from agent runs to surface failure cases, then refine prompts or models to improve reliability on navigation and data extraction tasks.

Train and fine-tune browsing models

Leverage training workflows to continuously improve agent behavior, turning captured failures into data for the next iteration cycle.

დადებითი და უარყოფითი

დადებითი

Purpose-built for web-browsing agents
Supports end-to-end build, test, and train workflow
Helps surface and fix agent failure modes
Encourages repeatable evaluation

უარყოფითი

Narrow focus on browsing use cases
Likely requires engineering expertise
Limited public information on pricing and limits

შეფასებები

4.8

საშუალო 4 შეფასებიდან.

შედი ანგარიშზე შეფასების დასატოვებლად.

Priya Nair

Years in this space

I've evaluated a lot of these over the years. What stands out here is agent development environment — handled better than most — and encourages repeatable evaluation. Likely requires engineering expertise is my one real gripe. Worth the time if this is your use case.

Sofia Lindqvist

Does the job

Pretty happy overall. Debugging and trace inspection just works and helps surface and fix agent failure modes. but no dealbreakers — I'd recommend it to a friend without hesitating.

Pierre Dubois

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on iterative improvement tooling, and helps surface and fix agent failure modes caught me off guard. still, I'd recommend giving it a real trial.

Rina Desai

Use it every day

Honestly didn't expect to like it this much. Performance benchmarking and evals is exactly what I needed, and encourages repeatable evaluation. but I reach for it almost every day now and it just clicks.