Simulation environments
for AI agents

Where agents learn, fail, and improve.

Benchmark what exists.
Train what’s next.

Benchmark and diagnose agents in simulated environments

Test your agents through complex, safe, and reproducible worlds that challenge long-horizon reasoning, recovery, and planning. See where they break, how they adapt, and what it takes to improve them.

Train & Align AI Agents in RL Environments

RL-ready simulation environments to teach agents long-horizon goals, recovery behaviors, and alignment objectives.

The traditional way of evaluating and training AI agents has hit a wall. Simulations are the future.

Simulation environments
for long-horizon agents

Browser Agents
for automated web-based tasks
Customer Experience Agents
for successful interactions
Coding Agents
for automated coding and infrastructure

Simulation environments
for long-horizon agents

Browser Agents
for automated web-based tasks
Customer Experience Agents
for successful interactions
Coding Agents
for automated coding and infrastructure

Simulation environments
for long-horizon agents

Browser Agents
for automated web-based tasks
Customer Experience Agents
for successful interactions
Coding Agents
for automated coding and infrastructure

Simulation environments
for long-horizon agents

Browser Agents
for automated web-based tasks
Customer Experience Agents
for successful interactions
Coding Agents
for automated coding and infrastructure

10K

1B

Evaluations

Born from Ragas

Ragas has emerged as the most popular AI evaluation framework and is used by 80% of the Fortune 100, solving a critical AI problem today. Vibrant Labs is passionate about solving the next one.

Vibrant Labs is proudly backed by

© 2025 Vibrant Labs. All rights reserved.

Vibrant Labs is proudly backed by

© 2025 Vibrant Labs. All rights reserved.

Vibrant Labs is proudly backed by

© 2025 Vibrant Labs. All rights reserved.