Our services
We offer a wide range of services to empower your data and optimise your processes. From Big Data and Artificial Intelligence solutions to consulting and customised development services.
Big Data Projects
Designing, building, and continuously improving data platforms.
Development & Engineering
Customizing data ingestion and exploitation.
Business Intelligence
Analyzing data to extract valuable insights.
Artificial Intelligence
Creating AI tools for comprehensive data exploitation.
Technology enthusiasts
We offer creative and functional solutions for your needs because we have a team based on talent and passion for technology.
Big Data Projects
Discovery
KEEDIO experts identify use cases and business requirements to define objectives and solution proposals.
Design
KEEDIO specialists architect and implement a proof of concept that establishes the platform's foundational architecture.
Deployment
Installation and deployment of updated platform services across corresponding development and production environments.
Operations
Initiation of maintenance operations across systems and services. 24x7x365 support coverage.
Development & Engineering
Discovery
Our expert team identifies business requirements, maps data sources, and captures information for the next phase.
Planning
Sprint planning for initial implementation and development iterations, team configuration, source classification, and effort estimation.
Deployment
Solution deployment across development, staging, and production environments.
Development Lifecycle
Iterative development cycles for fixes and enhancements, supported by version control and CI/CD pipelines.
Business Intelligence
Business Understanding
Identification of business needs, core project objectives, and data types to be processed.
Data Understanding
Data collection from diverse sources including structured, semi-structured, and unstructured formats.
Data Preparation
Data cleansing and preparation aligned with project objectives and expected quality standards.
Dashboards
Development of dynamic dashboards with interactive visualizations to enable data-driven insights.
Artificial Intelligence
Business Understanding
Identification of exploitation requirements and related security constraints. Data acquisition and initial exploration.
Data Preparation
Data cleansing and preparation aligned with project objectives and expected quality standards.
Modeling
Selection and application of optimal statistical and AI techniques to ensure value-driven results.
Deployment
Environment and tooling setup for optimal system performance and reliability.