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INARI Research Lab

The AI engine Fit Assessment

Beta

Industrial focus and deep-tech capabilities are evident: INARI applies deep learning and computer vision to address real industrial problems.

Blurb

INARI is a Research Lab exploring the use of deep learning to solve real industrial problems. We are a joint venture between academia (ESPOL) and industry (TIA S.A.): - Escuela Superior Politecnica del Litoral ESPOL is a top engineering school in the coastal city of Guayaquil in Ecuador. - Tiendas Industriales Asociadas TIA S.A. is a leading grocery retailer in Ecuador. INARI creates value for academia by conducting and disseminating innovative research; likewise, industrial value is created by exploiting the results of our research. A general focus of our research projects is to achieve automatic understanding of industrial operations through the use of artificial vision from videos obtained by low-cost ubiquitous CCTV cameras. Our systems aim to effectively integrate artificial vision with prescriptive analytics for assisting in operations management. Our mission: - To explore the use of deep learning to solve real industrial problems increasing our industrial competitiveness - To develop technically skilled human talent on the use of deep learning, scarce in the region

HQ Location

Guayaquil (Ecuador)

Founded

2018

Employees

1 - 10

Total funding raised

Not available

Funding Status

Not available

INARI is a Research Lab exploring the use of deep learning to solve real industrial problems.



We are a joint venture between academia (ESPOL) and industry (TIA S.A.):

- Escuela Superior Politecnica del Litoral ESPOL is a top engineering school in the coastal city of Guayaquil in Ecuador.

- Tiendas Industriales Asociadas TIA S.A. is a leading grocery retailer in Ecuador.



INARI creates value for academia by conducting and disseminating innovative research; likewise, industrial value is created by exploiting the results of our research.



A general focus of our research projects is to achieve automatic understanding of industrial operations through the use of artificial vision from videos obtained by low-cost ubiquitous CCTV cameras. Our systems aim to effectively integrate artificial vision with prescriptive analytics for assisting in operations management.



Our mission:

- To explore the use of deep learning to solve real industrial problems increasing our industrial competitiveness

- To develop technically skilled human talent on the use of deep learning, scarce in the region