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Top Deep Learning Companies in Mexico

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55 companies for Deep Learning in Mexico

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Eko Neural's Logo

Eko Neural

Mexico

D

11-50 Employees

2017

Key takeaway

The company focuses on advanced artificial intelligence solutions, including deep learning capabilities that enable natural interactions with data, understanding context, and continuous learning from every interaction. Their offerings like chatbots and virtual agents leverage these technologies to enhance sales, marketing, and customer service.

Reference

Core business

Eko Neural - Inteligencia Artificial Avanzada

Diseñamos soluciones con Inteligencia Artificial: chatbots, agentes virtuales, telefonía virtual, monitoreo de RRSS. Maximiza ventas, marketing y atención.

Minnova Consulting's Logo

Minnova Consulting

Acapulco, Mexico

D

1-10 Employees

2011

Key takeaway

The company emphasizes the importance of Data Science, Machine Learning, and AI in transforming how businesses approach data analysis. They provide data intelligence solutions that enhance decision-making through automated management and visual analytics, indicating a strong focus on leveraging advanced technologies for data-driven insights.

Reference

Core business

Minnova Consulting - Inicio

Brita Inteligencia Artificial's Logo

Brita Inteligencia Artificial

Mexico

D

11-50 Employees

-

Key takeaway

Brita Inteligencia Artificial offers specialized talent in Deep Learning, along with other AI and Machine Learning expertise, to help businesses achieve their objectives. Their team possesses extensive knowledge in designing and integrating AI solutions, particularly in areas like marketing and finance.

Reference

Core business

Empresa de Inteligencia Artificial - Brita Inteligencia Artificial

Somos una empresa de Inteligencia Artificial en México. Utilizamos herramientas y algoritmos de Machine Learning para ayudar a las empresas a desarrollar productos y soluciones basados en inteligencia artificial. Desarrollo de Chatbot, Análisis de Datos, Desarrollo de APPS.

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Cuatro Networks S. de R.L. de C.V.'s Logo

Cuatro Networks S. de R.L. de C.V.

Mexico

D

11-50 Employees

2004

Key takeaway

Cuatro Networks specializes in the development and optimization of machine learning algorithms and artificial intelligence, indicating a strong focus on advanced data processing and intelligence solutions.

Reference

Core business

Business Intelligence | Cuatro Networks

Somos expertos en Inteligencia de Datos, dedicados a desarrollar y ejecutar proyectos de tecnología informática de gran complejidad.

CEROUNO's Logo

CEROUNO

Mexico

D

1-10 Employees

2017

Key takeaway

CeroUno offers training programs that help software developers enhance their skills in the latest technologies, including machine learning and predictive modeling. Their curriculum is regularly updated to align with industry trends, ensuring that participants learn best practices from expert instructors.

Reference

Core business

CeroUno

corteza.ai's Logo

corteza.ai

Mexico

D

1-10 Employees

2021

Key takeaway

Corteza.ai specializes in AI consultancy and outsourcing services, with a team of machine learning specialists dedicated to enhancing business success through innovative AI solutions. Their focus on leveraging cutting-edge technologies positions them as a key partner for businesses looking to thrive in today's rapidly evolving digital landscape.

Reference

Core business

Corteza.ai – AI Consulting

AI Consulting

DataLab Community's Logo

DataLab Community

Guadalajara, Mexico

D

1-10 Employees

2016

Key takeaway

Datalab.mx fosters collaboration between learners and experts to develop professionals in data analysis and science, creating opportunities to share knowledge and skills in this field. Their initiative emphasizes the importance of preparing for the evolving landscape of data science through collaborative learning experiences.

Reference

Core business

Datalab.mx

Ai Cluster's Logo

Ai Cluster

Ciudad Juárez, Mexico

D

11-50 Employees

2017

Key takeaway

The company is actively promoting innovation in the region through Artificial Intelligence, emphasizing the development of Cognitive Systems that foster collaboration between humans and computers.

Reference

Core business

Artificial Intelligence - AI Cluster

Artificial Intelligence Cluster - A nonprofit organization in the border of El Paso Texas US and Ciudad Juarez Mexico.

Greenshark's Logo

Greenshark

Mexico

D

1-10 Employees

2017

Key takeaway

Greenshark is focused on adding value through education using the best technologies, including training in Data Science and Big Data, which are essential components of Deep Learning. The company aims to support women in bridging the opportunity gap in tech fields.

Reference

Core business

Capacitación de TI en Nube, Ciencia de Datos, Big Data y DevOps

Brain Analytics & Innovation's Logo

Brain Analytics & Innovation

Mexico

D

11-50 Employees

2019

Key takeaway

Brain Hub is dedicated to exploring various aspects of data usage, emphasizing data analytics and artificial intelligence. Their team of experts utilizes extensive experience in data structuring and mathematical modeling to transform sectors like tourism through innovative data-driven insights.

Reference

Core business

Brain Analytics - Consultoría estadística y de datos - Brain Analytics & Innovation

Transformamos el sector turismo a través de la innovación Análisis de datos Inteligencia artificial Destinos inteligentes Datos + Análisis x Conocimiento = Innovación Analítica de datos Identificamos, exploramos, organizamos y estructuramos grandes cantidades de datos para extraer conocimiento, proyectándolo mediante herramientas de narrativa significativa y técnicas de visualización de datos. Inteligencia artificial Encontramos patrones, tendencias ... Read more


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Use cases around Deep Learning

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: EU-AI Act

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EU-AI Act

All industries, Pharma, Finance, E-Mobility, Healthcare

er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.

UseCase: EU-AI Act

Use case

EU-AI Act

All industries, Pharma, Finance, E-Mobility, Healthcare

er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.

Information about Deep Learning in Mexico

In exploring the Deep Learning industry in Mexico, several key considerations come into play. The regulatory environment is evolving, with government initiatives aimed at fostering innovation and research in artificial intelligence while ensuring compliance with data protection laws. Challenges include a talent shortage, as the demand for skilled professionals in machine learning and data science often outpaces supply. However, this presents significant opportunities for educational institutions and companies to invest in training programs. The competitive landscape in Mexico is becoming increasingly dynamic, with both local startups and established global firms vying for market share. Collaborations between academia and industry are gaining traction, enhancing research capabilities and driving advancements in this field. Additionally, Mexico's strategic geographical position allows businesses to tap into both North and South American markets, increasing global market relevance. Environmental concerns are also emerging, particularly regarding the energy consumption of large-scale deep learning models, prompting discussions about sustainable practices in technology development. Understanding these factors is essential for anyone considering entering the Deep Learning sector in Mexico, as they influence both the current landscape and future growth potential.


Insights about the Deep Learning results above

Some interesting numbers and facts about your company results for Deep Learning

Country with most fitting companiesMexico
Amount of fitting manufacturers13
Amount of suitable service providers14
Average amount of employees11-50
Oldest suiting company2004
Youngest suiting company2021

Frequently asked questions (FAQ) about Deep Learning Companies

Some interesting questions that has been asked about the results you have just received for Deep Learning

Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Deep Learning are corteza.ai

The most represented industries which are working in Deep Learning are IT, Software and Services, Education, Other, Marketing Services, Consulting

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