Virtual environments & RL-gyms

We can help build, manage, and scale high-fidelity reinforcement learning environments (RL-Gyms) where your agents can learn to reason, plan, and recover from errors.

Talk to an expert

Experts who help build your agents

Simulation Architects

Engineers who design the sandboxed environments and RL-gyms.

QA Specialists

Teams that verify telemetry captures every keystroke and API call.

Domain SMEs

Experts who perform "Golden Trajectories" to set the baseline for agent performance.

DevOps Engineers

Specialists managing containerization and deployment pipelines.

Security Analysts

Ensuring sandbox isolation for dangerous tasks and red-teaming.

Data Strategists

Designing the difficulty curve and failure modes for optimal learning.

Frequently asked questions

Is it possible to integrate with our existing evaluation system?

Yes, we can plug into your existing containers or API endpoints, or we can host the environment entirely for you.

Why use human experts for simulations?

You need a "Human Gold Standard". Before the agent starts, our experts perform the tasks to set the baseline for what "correct" looks like, ensuring you aren't training towards a moving target.

What is the "Sweet Spot" for failure rates?

We design RL tasks specifically tuned to a ~50% failure rate. If a task is too easy, the gradient is flat. If it’s too hard, the agent learns nothing. We engineer the difficulty to maximize learning.

How do you handle dangerous commands?

We use Safety Sandboxing, i.e, network-gated environments with mocked external services so agents can train on dangerous tasks with zero risk to production systems.

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