Technologies

Below are the technologies we propose in Linkalab for our customers and partners.

Cloud Computing & Big Data

Amazon Web Services (AWS)

We use AWS for scalable infrastructure, data lake management and advanced real-time data analytics.

data catalog

Solutions to manage the corporate data assets and facilitate data management and governance within the enterprise.

data lake

Centralization of large volumes of heterogeneous data to support analysis data-driven e machine learning algorithm .

Machine Learning & Artificial Intelligence

Machine Learning Algorithms

Advanced techniques of clustering, classification e forecast to optimize business processes such as inventory management and manufacturing operations.

Natural Language Processing (NLP)

Textual analysis to extract strategic insights from unstructured data, such as social media.

AI Agents

Development of intelligent agents for automate business processes and create chatbots advanced, powered by large language models (LLMs).

Generative AI

Application of generative models including ChatGPT e stable diffusion for innovative projects in marketing, customer service and automation.

Data Engineering & Automation

ETL/ELT (AWS Glue, Lambda)

Solutions for data extraction, transformation and loading, automating complex workflows​.

Supply Chain Optimization

Models to improve theoperational efficiency in inventory and production management.

Web Data Applications

Development of custom web applications for visualization and interaction with data, with framework dedicated that simplify business analysis and reporting.

Business Intelligence & Visualization

Interactive Dashboarding

Creation of dynamic dashboards for the visualization of company data, with integration of KPI to support strategic decisions.

Knowledge Graphs

 Use of knowledge graphs to structure and improve access to complex information.

Languages ​​and Frameworks

Python & Data Science Libraries

Use of Python and advanced data science libraries like Pandas, NumPy, scikit-learn, TensorFlow and PyTorch, to develop personalized solutions of analysis and machine learning algorithm .

Custom Projects & Technology Integration

AI System Integration

Implementation of solutions AI and Machine Learning within corporate infrastructures to enhance decision-making capabilities.

Technology Partnerships

Collaborations with leading companies for the development of solutions based on cloud and data-driven.