Specialists in continuous monitoring and
predictive maintenance of bridges

COMPANY

Our team works to assist the transformation of
different industrial sectors through
digitalisation, implementing advanced
technologies and Artificial Intelligence (AI)

METHODOLOGY

We address specific problems and needs by creating our own solutions that allow our clients to optimise, automate or redefine their processes, resulting in increased performance and productivity

solutions

In addition to creating advanced ad-hoc technological solutions
for clients in different sectors, we also offer our own developed
and validated solutions
Categorías (1)

SOLUTIONS BY CATEGORY

At COREAL we have developed and validated solutions for the diagnosis of the current condition and the prediction of evolution, all the way to the creation of integral management systems or new solutions and disruptive procedures capable of revolutionising current practices within the most relevant industries worldwide

Industrias (1)

SOLUTIONS BY INDUSTRY

Civil infrastructure, specializing in bridges, the railway sector, mining, the forestry and agricultural sector, municipalities, or aquaculture, are some of the sectors for which COREAL has developed and validated specific solutions aimed at increasing productivity and efficiency

PROJECTS

Some of the projects we have successfully undertaken by
implementing our methodology and solutions

LOCATION OF AQUACULTURE FARMS

Study of the location of aquaculture facilities to generate proposals for the relocation of concessions in sectors of the Los Lagos region

URBAN TREE CADASTRE

Urban Tree Cadastre Phase 2 Municipality of Pudahuel

AIR QUALITY

Informative Platform and Air Quality Analysis for the División Andina

Articles

Read our articles with relevant information on the use of
Artificial Intelligence for the optimisation of different industrial sectors
1

Why is SHM so important and what sets us apart from our competitors?

Investment needs for infrastructure maintenance are growing every year due to the increasing ageing of the infrastructure and the greater loads to which they are subjected. For example, in European countries, the annual maintenance expenditure grows 5% each year. Consequently, apart from ensuring safety, optimising the maintenance investment must be a priority for infrastructure managers

2

Artificial Intelligence applied to agriculture

Chile’s wine industry has experienced sustained growth over the last few decades, becoming one of the main players in the global wine trade, with exports to over 109 countries across 5 continents. At the country level, both grape and wine production is concentrated in two regions: the Maule region and the O’Higgins region, with annual

3

Artificial Intelligence applied to the railway sector

In the railway sector, it is essential to carry out infrastructure inspection and maintenance tasks in order to ensure safe and efficient railway operation. In general, it is the infrastructure manager (the entity owning or directly managing the track) who must carry out these tasks

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