Companies that adopt the cloud need agility, efficiency and security to ensure their operations are scalable and competitive.
With resolute professionals, your company has access to tailored solutions, continuous optimization, and rapid responses to technical challenges, ensuring maximum performance and cost reduction.


Data Engineer
Responsible for creating the basis for the work of data scientists, focusing on infrastructure and data preparation for analysis, ensuring availability and accessibility.
Data Scientist
Analytical professional whose main function is to extract valuable information from a company’s stored data, important for assessing the current situation and outlining more assertive strategies for the future.
IA and Data Architect
Works on developing and integrating a company’s data structure. Together with other professionals in the area, develops data flow planning, defining specific policies for the operation of the systems. The AI Architect leads the creation of the AI architecture with various frameworks and deployment models to design and execute AI architecture strategies, working closely with other teams, including data scientists, machine learning operations, and leadership.
DataOps
Cloud Architect
Responsible for the cloud computing system, works with cloud technology to develop cloud adoption plans, determine the design of cloud applications, and create systems to manage, monitor, and maintain the cloud system.
Data Steward
Data steward creates processes and procedures that monitor and enforce data governance policies, establishing guidelines for data processing, quality assessments, and security.
Process Analyst
Responsible for identifying, documenting, and evaluating the current and future state of business processes. Uses various methods, such as interviews, observations, surveys, and data analysis, to understand how processes work, what the pain points are, and what opportunities for improvement exist.
Dev
Dev is a technology developer who builds and creates software, websites, applications, and other systems. Developers often require coding knowledge to effectively write and debug application and software source code.
DevOps
DevOps is the methodology of people working together to design, build, and deliver secure software at high velocity. DevOps practices enable software development (Dev) and operations (Ops) teams to accelerate delivery through automation, collaboration, rapid feedback, and iterative improvement.
IaC
Infrastructure as a Code (IaC) is used for infrastructure automation to create environments. The most common use of IaC is in software development to build, test, and deploy applications.
Data Governance
It encompasses the policies and procedures that are implemented to ensure that an organization’s data is accurate from the beginning – and then treated appropriately as it is entered, stored, manipulated, accessed, and deleted.
Data Visualization
It is the presentation of information in an image or graphic format. It allows decision makers to see the results of analyses visually so that they can understand difficult concepts or identify new patterns.

PO is responsible for understanding the need and allocation of professionals and PM is responsible for managing the project.


Deliverable
We present the types of scope that can be delivered with Atlas:
Assesment

Diagnosis
- Data journey
- Data Architecture and Governance
- AI journey
Data Migration

Migration
- Load/sizing tests
- Performance optimization
- Migration
Data Engineering

Data Pipelines
- Data ingestion
- Processing and transformation
- Orchestration
- Performance

Storage
- Data Lakehouse Structuring
- Architecture Optimization

Analytical Layer
- Data Modeling
- Visualization / Dashboards
- Business Intelligence
Data Driven

Data Governance
- Data Quality
- Metadata management
- Data Security and Privacy
- Business rules

Data Mesh
- Implementation of methodology
- Adaptation of data platforms
- Decentralization of Governance
Data Science

Machine Learning
- MLOps / FMOps / LLMOps
- Model creation and support
- Custom applications
- Anomaly detection
- Recommendation systems

Gen AI
- Agent/tool development
- Chatbots / Copilots
- Graph RAG
- Fine-tuning
- Creative Process Automation
- Content Generation
Atlas Dedalus Packages

Small
40 Drachmas per month

Medium
80 Drachmas per month

Big
120 Drachmas per month
The client chooses the Drachmas package that best suits their demands and receives support in sustaining Data & AI projects with a heterogeneous group of specialists for the most diverse projects.
One Drachma corresponds to one hour managed by a Data & AI specialist who will be allocated according to the client’s demand, always managed by the Dedalus’ back-office team.
