> Case studies | Torno Studio

Case studies

# AI that left testing and went into operations.

Three pieces of work by Henrique Pett, who leads Torno, all predating the company. Two were done at companies where he worked and one is his own project. Each case shows what was done, what evidence exists and what it means for a manufacturer.

## The three case studies

* AI in operations · Professional experience

  ### Loopt

  An AI product that recommends where to place each container in the yard. According to Loopt, the team’s solution cut unproductive moves by 27%.

  Evidence: Results published by Loopt, with a public source

  [Read the case study](https://tornostudio.com/en/cases/loopt/)

* Data and credit · Professional experience

  ### Bom.Capital

  A credit portfolio system and a Machine Learning solution to analyze applications. According to the account of the person who led it, response time fell from 48 hours to under 2.

  Evidence: Account of the person who led the work, no external publication

  [Read the case study](https://tornostudio.com/en/cases/bom-capital/)

* Own project · End-to-end AI product

  ### Ascende

  An AI app that turns a spoken or written sentence into records the user reviews before saving. A personal project, published and live.

  Evidence: Published product, available online

  [Read the case study](https://tornostudio.com/en/cases/ascende/)

In your plant

## Torno’s first industrial projects start with a diagnostic.

Torno does not yet have a published case study inside a plant. So we start with interviews by area, an inventory of data and systems, and a pilot with success criteria agreed up front. The diagnostic report stays with your company whether or not you hire the rest.

[Book a call ](https://calendly.com/henriquepett/45min)[See how we work](https://tornostudio.com/en/how-we-work/)