Services

Consulting

At Meka.ai, we offer specialized consulting services in the development of Azure cloud architecture solutions, with a particular focus on Data Analytics and Artificial Intelligence. We help businesses design, implement, and optimize infrastructures on Azure, integrating advanced data analytics capabilities and AI models to drive intelligent decision-making and enhance business performance.

Consulting in:

  • Design and definition of cloud architectures on Microsoft Azure, optimized for performance and scalability.
  • Development and creation of technical requirements for the implementation of advanced Data Analytics and Artificial Intelligence solutions.
  • Advisory during the pre-sales phase and support in the creation of customized technical proposals for Data Analytics and Artificial Intelligence solutions.

Services

Data Analytics

At Meka.ai, we offer a specialized line of services in the development of Data Analytics solutions, covering all stages of the data lifecycle. Our comprehensive approach enables businesses to optimize their data management and analysis processes for making informed and strategic decisions.

The stages include:

  • Data integration, extraction, transformation, and loading (ETL)
  • Data quality processes
  • Exploratory Data Analysis (EDA)
  • Data storage in Datalakes and Data Warehouses
  • Development of interactive dashboards in Power BI

Services

Artificial Intelligence

At Meka.ai, we have the capability to develop advanced Artificial Intelligence-based models and integrate cutting-edge solutions such as GPT models. Our approach includes the development of supervised and unsupervised machine learning models, as well as neural networks, ensuring a rigorous evaluation at every stage of the process. Additionally, we follow the full lifecycle of AI model development, ensuring effective and sustainable implementation.We apply the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), which includes the following key stages:
  • Business Understanding: Definition of objectives and project requirements.
  • Data Understanding: Exploration and preliminary analysis of available data.
  • Data Preparation: Data processing, cleaning, and transformation.
  • Modeling: Development and training of AI models.
  • Evaluation: Rigorous model evaluation, validation, and testing.
  • Deployment: Implementation of the model in the production environment and continuous monitoring.
This cycle ensures that every AI model we develop not only meets technical standards but also aligns with the strategic needs of our clients, providing robust and scalable solutions.

Services

Cloud Architectures

At Meka.ai, we offer advanced capabilities in designing and implementing Cloud architectures using Microsoft Azure services, specifically focused on deploying Data Analytics and Artificial Intelligence solutions. Our expertise covers the entire project lifecycle, from architecture conception to continuous deployment and maintenance of cloud-based solutions.

Our methodology is based on creating highly scalable and secure infrastructures on Azure, utilizing a combination of services such as Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, and Azure AI, among others. We design customized solutions that effectively integrate the collection, processing, and analysis of large volumes of data, enabling businesses to make informed and strategic decisions through the use of AI.

Additionally, we specialize in Infrastructure as Code (IaC), which allows us to automate the creation and management of infrastructure, ensuring consistency, speed, and error reduction. We use tools like Azure Resource Manager (ARM) templates and Terraform to efficiently and controlledly manage resources, allowing for agile and scalable deployment.

The use of Azure DevOps is an integral part of our approach. We leverage this platform to facilitate Continuous Integration and Continuous Delivery (CI/CD), optimizing the software development lifecycle from coding to deployment and monitoring. Azure DevOps enables us to manage source code, automate tests, and coordinate the deployment of solutions in production environments efficiently.

Moreover, we implement security and governance practices through tools like Azure Security Center and Azure Policy, ensuring that solutions are not only effective but also secure and compliant with established regulations. In this way, we provide robust, sustainable solutions aligned with our clients’ strategic needs, driving innovation in a secure and reliable environment.

Technologies We Use

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