Access the Talent you need
when you need it
The current market demands fast adaptation to Data Analytics & AI technologies, but the shortage of specialized talent and the difficulty of finding qualified professionals hinders innovation, delay critical projects, and generate unforeseen costs for your business.
With our Talent as a Service, overcome these barriers by accessing a team of highly qualified Data Analytics & AI experts, ready to be integrated into your projects when you need them, without the traditional hiring costs and timelines
CDO
as a Service
Development of Data Strategy and Design
Define the vision, objectives, and roadmap for data utilization and management, aligning them with business goals.
Data Governance Management
Establish policies, procedures, and controls to ensure data quality, security, privacy, and regulatory compliance.
Leadership and Effective Communication
Acting as a data and AI advocate, communicating its value to stakeholders, and collaborating with other leaders to integrate data and AI into the overall strategy.
Data Analytics Implementation
Oversee and validate the implementation of all stages to build a Data Analytics & AI solution.
Fostering a Data-Driven & AI-Driven Culture
Promoting the use of data & AI for decision-making, identifying business opportunities, and overseeing the implementation of analytical tools. AI Agents and Intelligent Apps.
Driving Digital Transformation and Innovation
Leading data initiatives for digital transformation, integrating data & AI into digital business processes, and exploring new technologies.
Data Architecture Design
Create the global data architecture that defines how the organization's data is collected, stored, processed, and used, ensuring it aligns with business objectives and technical needs.
Data Technology Selection
Evaluate and select the most appropriate data technologies and tools (databases, data lakes, data warehouses, vector databases, etc.) to meet the organization's needs.
Data Performance Optimization
Identify and address data performance bottlenecks, optimizing data storage, processing, and access.
Data Modeling
Develop conceptual, logical, and physical data models that represent the structure and relationships of the organization's data.
Data integration
Design and implement solutions to integrate data from various sources, ensuring data quality and consistency throughout the organization.
Data Governance and Security
Define and apply policies and procedures to ensure data security, privacy, and integrity, as well as compliance with current regulations.
Data
Architect
as a Service
Data Engineer
as a Service
Data Pipeline Development (ETL/ELT)
Designing, building, and maintaining efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources to a centralized data warehouse (data warehouse, data lake, etc.).
Data Infrastructure Construction and Maintenance
Setting up and managing data infrastructure, including databases, processing clusters, cloud storage, and data orchestration tools.
Implementation of Data Storage Solutions
Developing and implementing scalable and secure data storage solutions, such as data lakes, data warehouses, and NoSQL and vector databases, based on business needs.
Data Performance Optimization
Identifying and resolving data performance bottlenecks, optimizing data ingestion, transformation, and query processes.
Data Process Automation
Developing scripts and tools to automate repetitive data management tasks, such as data cleaning, validation, and monitoring.
Ensuring Data Quality and Reliability
Implementing data quality control mechanisms and establishing processes to ensure data integrity and availability.
Development of Dashboards and Reports
Creating interactive and visually appealing dashboards and reports to communicate analysis findings to stakeholders.
Data Analysis for Decision Making
Translating data analysis findings into practical recommendations to improve business processes and achieve organizational goals.
Data Analysis Process Automation
Developing scripts and tools to automate repetitive data analysis tasks, such as report generation and dashboard updates.
Modelado Predictivo y Forecasting
Using machine learning (ML) models and forecasting techniques to predict future trends and support data-driven decision-making.
Data API-fication
Exposing data via API so that internal and external users can consume it in an agile and secure manner.
Data Analyst
as a Service
AI Developer
as a Service
AI Agents development
Designing, building, and implementing AI agents that intelligently interact with users and systems to automate tasks and improve efficiency.
Implementation of Advanced AI Techniques
Applying techniques such as RAG (Retrieval-Augmented Generation) and grounding to improve the accuracy and relevance of model-generated responses.
Intelligent Apps development
Creating intelligent applications that leverage AI to deliver advanced functionalities, personalization, and exceptional user experiences.
AI Model customization
Utilizing techniques like PEFT (Parameter-Efficient Fine-Tuning), prompt engineering, and decoding to adapt AI models to the specific needs and preferences of the organization.
Our
Partners
