---
title: "Evaluations"
description: "Benchmarks that a policy must pass in simulation before it is trusted in the real world."
url: https://matrixsim.ai/solutions/evaluations
---

# Evaluations

Test robot policies against repeatable, physically faithful benchmarks in simulation, and know whether they are reliable enough to deploy.

Coming soon

[Talk to us about early access](https://cal.com/madhav-chawla/30min)

01 / What it will do

## How it will work.

1. **Define**  
Turn a deployment's success criteria into tasks, scenes and pass thresholds.
2. **Run**  
Evaluate policies at scale across scene variations and edge cases.
3. **Report**  
Get a reliability report per task, with the failures that matter to fix first.

02 / Why it matters

## Why we are building it.

In physical AI, mistakes are expensive and sometimes dangerous. A robot should clear a measured reliability bar in simulation before it touches the real world.

Early access

## Want evaluations early?

We are working with a small number of teams as we build it. Join the waitlist to be among the first to use it.

[Or book a call ](https://cal.com/madhav-chawla/30min)