Figura is a software that provides AI solutions to technical issues.

While transposing a design into technical schemes, human errors often occur, resulting in production lines with inadequate outcomes.

Figura is an artificial intelligence software built to make engineers' tasks effortless. It reduces human contribution by translating the design schemes into a "language" known by the engineers and the people in the production department. The main idea consists of implementing artificial intelligence software built to analyse any computer-designed object in niche programs and automatically extract the parts without human effort.

Beyond providing solutions to technical issues, Figura aims to be involved in the reduction of CO2 emissions: the more the algorithm is trained, the more it can replace the human factor and implicitly reduce industrial waste. Currently, the project follows a B2B model, with the mechanical engineering companies in the EU as the direct beneficiary target. Indirectly, those who will benefit from this software are the engineers in these companies.

Our strenghts

How does Figura operate?

At first, Figura learns how to take over this process. It explores different designs and analyses the engineers' interpretations. At this stage, accuracy improves to reach a high success rate.

Once achieving this, we introduce the software to possible clients as a prototype. After concluding a contract, our team adapts the software to the client's requirements. This stage implies training the algorithm with the customer databases to personalize it to its needs.

Data is powering AI. As more repetitions occur, the algorithm designed by our experts improves its accuracy. With Figura, engineers will no longer have to analyse the project to understand how to implement it. They receive a complete list of each object's components and all related operations of its production.

Our software helps companies with complex products that need long breakdown time, where human error is a risk that can affect entire production lots. Figura takes over these repetitive, complicated tasks and automates the procedure.

Software performance stages

Collecting, processing, and analysing the necessary databases for training the algorithm

Implementing a trainable algorithm with a high enough degree of accuracy

Manual data processing by engineers to provide the required input for training the algorithm

Algorithm testing and training until it reaches the desired results

We plan ahead

Ready for a new dimension of patterns understanding?