# Problem. System. Intelligence. Outcome.

> How Myto publishes case studies: site and configuration, baseline and method, what was controlled, and measured outcomes. Published only with verified data.

Source: https://myto.energy/projects

Every case study we publish follows the same structure, with numbers that were measured rather than modelled, and the measurement method stated.

No case studies are published yet

[Start an evaluation →](https://myto.energy/contact?intent=evaluation)

The framework

## How we document a deployment.

### Problem

What was costing money, capacity or reliability, stated in the operator's terms.

### Energy system

Assets, capacities, constraints, tariffs and contracts. The real configuration.

### Myto intelligence

Which control modes ran, how long in shadow mode, and what changed in the decisions.

### Outcome

Measured result against a stated baseline, with the measurement method described.

Case study template

## What every published case study will contain.

If a field cannot be filled with real data, the case study is not published.

Site and configurationSegment, connection, assets and ratings. Customer named only with written permission.Required

Baseline and methodThe period compared against, what Myto controlled, and how each number was measured.Required

Outcomes and verificationMeasured results, who checked them, and what did not work.Required

Operator viewA quote, only with permission.Optional

Evaluating Myto

## Start with your own data.

The fastest way to judge an intelligence layer is to run it against a system you already understand.

- Share historical generation, load, tariff and asset data

- We run the optimiser in shadow mode and reconstruct what it would have decided

- You compare that against what actually happened

- The difference is the case for going further, or not

[Start an evaluation →](https://myto.energy/contact?intent=evaluation)