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The AI Academy
São Paulo, Brazil
C
11-50 Employees
2017
Key takeaway
The AI Academy offers specialized Generative AI solutions that can enhance corporate learning, making it more engaging and effective. Their focus on AI-driven strategies and programs empowers HR and L&D professionals to accelerate AI adoption within organizations.
Reference
Core business
The AI Academy | Changing the way we learn and work through AI-driven solutions
The AI Academy is a provider of cutting-edge AI technologies and services, offering scalable solutions for large enterprise companies.
inteledge.
Curitiba, Brazil
C
1-10 Employees
-
Key takeaway
Inteledge specializes in delivering custom artificial intelligence solutions that automate tasks and optimize operations, leveraging their extensive experience with cutting-edge technologies and academic research. Their expertise in AI could be particularly beneficial for applications in deep learning.
Reference
Core business
inteledge. – Accessible intelligence.
Accessible intelligence.
Deep Center
São Paulo, Brazil
C
11-50 Employees
2018
Key takeaway
The company utilizes state-of-the-art technology to integrate data from various sources, providing key insights for strategic analysis, which is essential for deep learning applications. Their comprehensive solution includes full speech analytics and data monetization, enabling effective decision-making through advanced data association and storage.
Reference
Core business
Discovery: comprehensive solution, from support to decision-making.
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BRAINIALL INC
São Paulo, Brazil
C
11-50 Employees
2019
Key takeaway
Brainiall AI utilizes advanced AI technologies to enhance industrial operations, achieving a 5% increase in throughput. Their AI autopilot has transformed processes in sectors like gold mining, providing significant financial and environmental advantages.
Reference
Core business
Brainiall Inc. - Home Page
AI services in a dynamic SaaS way. We operate remotely, key processes in the industry, generating direct productivity increases.
JQuant
São Paulo, Brazil
C
11-50 Employees
2017
Key takeaway
The company specializes in providing a development environment for machine learning engineers, utilizing Jupyter for seamless integration and deployment of models.
Reference
Service
JQuant - Consulting
JQuant AI Consulting
Deepservice Consulting
Rio de Janeiro, Brazil
C
1-10 Employees
2015
Key takeaway
Deepservice positions itself as a key player in driving business transformation through digital strategies, which can be enhanced by deep learning technologies. Their focus on leveraging technology to improve performance and outcomes aligns with the principles of deep learning in optimizing processes and decision-making.
Reference
Product
Gradients – Deepservice
Deeployer
São Paulo, Brazil
C
1-10 Employees
2020
Key takeaway
Deeployer's platform provides access to updated data, delivering critical insights that are essential for agile and accurate decision-making. This capability is particularly valuable for data scientists and those interested in data science.
Reference
Core business
deeployer
deployer’s website
MZN Soluções Interativas LTDA
Perdões, Brazil
C
1-10 Employees
-
Key takeaway
MZN specializes in cutting-edge AI solutions that emphasize security, speed, and performance, making it a valuable partner for those interested in advanced technologies like deep learning. Their expertise in high-availability systems ensures reliable AI-generated insights for critical decision-making.
Reference
Core business
About us
MZN - Cultivating Fast and Secure Data Analysis with Our AI Expertise
LAB Tech & Analytics
São Paulo, Brazil
C
1-10 Employees
2019
Key takeaway
The company is an AI-powered hub that revolutionizes businesses through comprehensive services in data infrastructure, analytics, and training data professionals. Their expertise in AI technologies, including ChatGPT, positions them to enhance business operations in the data-driven era.
Reference
Core business
LAB Tech & Analytics
Synapse Data Science
Fortaleza, Brazil
C
1-10 Employees
2020
Key takeaway
The company, Synapse Data Science, is likely involved in data science and related fields, which may encompass deep learning technologies.
Reference
Core business
PDF – Synapse Data Science
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A selection of suitable use cases for products or services provided by verified companies according to your search.
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.
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.
When exploring the Deep Learning industry in Brazil, several key factors are important to consider. The regulatory environment is evolving, with the Brazilian government increasingly focusing on data protection and ethical AI practices, particularly in light of the General Data Protection Law (LGPD). This creates both challenges and opportunities for companies that must comply while innovating. Furthermore, the competitive landscape is growing, with numerous startups and established firms emerging, driven by a talent pool of skilled professionals from local universities and tech hubs. However, challenges such as limited infrastructure and access to high-quality datasets can hinder progress. Despite these challenges, Brazil presents significant opportunities, especially in sectors like agriculture, finance, and healthcare, where Deep Learning can drive efficiency and innovation. Environmental concerns are also becoming more prominent, as companies are encouraged to adopt sustainable practices in their AI developments. Global market relevance is crucial, as Brazilian companies are increasingly looking to collaborate internationally and integrate into global supply chains, thus enhancing their competitiveness. Understanding these dynamics will be essential for anyone considering entering the Deep Learning space in Brazil.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | Brazil |
| Amount of fitting manufacturers | 28 |
| Amount of suitable service providers | 19 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2015 |
| Youngest suiting company | 2020 |
Some interesting questions that has been asked about the results you have just received for Deep Learning
What are related technologies to Deep Learning?
Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Education, Other, Consulting, Oil, Energy and Gas
How does ensun find these Deep Learning Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.