Cloud and advanced technologies
Cloud computing, migration, Big Data, data warehouse, machine learning, AR/VR, metaverse and RPA. We help you design data architectures and immersive experiences that support real-time decisions, predictive models, and intelligent automation.
-- Data Warehouse: daily metrics + YoY growth
WITH daily_agg AS (
SELECT
date_trunc('day', created_at)::date AS day,
COUNT(*) AS orders,
SUM(amount) AS revenue,
COUNT(DISTINCT customer_id) AS customers
FROM orders
WHERE status = 'completed'
AND created_at >= CURRENT_DATE - INTERVAL '1 year'
GROUP BY 1
),
with_prev AS (
SELECT *,
LAG(revenue) OVER (ORDER BY day) AS prev_revenue
FROM daily_agg
)
SELECT day, orders, revenue, customers,
ROUND(100.0 * (revenue - prev_revenue) / prev_revenue, 2) AS growth_pct
FROM with_prev
ORDER BY day DESC;Services we offer
Augmented reality
Enhance real environments by overlaying digital and interactive information using AR technology on smartphones or glasses.
RPA
Automate repetitive and rule-based tasks with software bots to increase efficiency and reduce errors.
Deep learning
Implement deep learning algorithms and neural networks for advanced AI capabilities.
NFT
Create and trade unique digital assets on blockchain with verifiable ownership.
Virtual reality
Develop immersive virtual reality experiences for entertainment, education or training.
Metaverso
Create interconnected virtual environments that combine digital and physical worlds.
LMS
Offer a centralized platform to create, deliver and manage online courses and training programs.
Cloud Migration
Migrate on-premise infrastructure and applications to the cloud for greater scalability and efficiency.
Computer vision
Enable machines to interpret and understand visual data and automate tasks such as image recognition.
Data warehouse
Consolidate and store organizational data in a centralized repository for efficient analysis.
Big Data
Process and analyse massive volumes of data from diverse sources to obtain actionable insights.
Data mining
Extract patterns and valuable insights from large datasets to support decisions.
Data management 7 595.4 7 595.4 202.8 2.6 7 798.2 597.0 8 395.2
Organise and maintain data effectively to ensure accuracy, accessibility and security.
Cloud computing
Improve data storage and processing with scalable and efficient cloud infrastructure.
Machine learning
Develop, train and deploy models that improve prediction, automation and innovation.
What's included
Data architectures, cloud and AI that support real-time decisions. Migrations, pipelines, ML and immersive experiences with specialized teams.
Cloud and migration without interruptions
Architectures on AWS, Azure or GCP designed for your case. We migrate on-premise workloads with lift-and-shift or refactoring strategies as appropriate. Agreed maintenance windows, planned rollback and post-migration validation. Your operation does not stop.
Big Data, data warehouse and analytics
ETL pipelines, data lakes and warehouses with Snowflake, BigQuery, Redshift or open-source tools. Consolidated, modelled data ready for dashboards, reports and machine learning. Governance, quality and documentation that enable analytics to scale.
Machine learning, AR/VR and automation
ML models for prediction, recommendation or classification. Immersive experiences with Unity, Unreal or WebXR. RPA and computer vision to automate processes. From MVP to production, with model monitoring and continuous improvement.
Why choose us
From initial assessment to production optimisation. This is how we design and implement your architecture:
End-to-end data experts
Data engineers who design pipelines and architectures, data scientists who build models, analysts who turn data into decisions. From raw data to actionable insight in dashboards, reports and models in production. Experience in Spark, dbt, Airflow, TensorFlow and the tools your domain requires.
Multi-cloud and pragmatic approach
We work with AWS, Azure, GCP and combine managed services with open-source tools as appropriate. We do not sell a closed stack: we choose the best cost-benefit combination for your case. Serverless, event-driven architectures and cloud cost optimisation as standard practice.
Scalability and governance from design
Clear dimensional modelling, documentation of sources and transformations, quality and access policies. Data is not a one-off project: we design for analytics to scale with your organisation and meet security and regulatory requirements.
Key facts
- Experience in Spark, dbt, Airflow and similar.
- Serverless and event-driven architectures.
- Cloud cost optimisation.
Best practices
Data architecture
- Modelado dimensional claro
- Documentation of sources and transformations
- Data governance and quality
Security and compliance
- Encryption at rest and in transit
- Role-based access control
- Audit and traceability
Cloud and advanced technologies process
custom architecture
Four phases to design and implement your data architecture and AI solutions.
Step 1
Assessment
We audit sources, volumes and requirements. We define business objectives.
Step 2
Architecture
We design the data model, pipelines and tech stack.
Step 3
Implementation
Migration, ETL and orchestration. Incremental deliveries.
Step 4
Optimisation
Monitoring, tuning and governance. Data ready for analytics.
Request quote
Complete the form and we will respond with a custom proposal for this service.
Frequently asked questions
- Which cloud providers do you use?
- AWS, Microsoft Azure and Google Cloud. We choose based on the project, cost and client requirements.
- Do you perform legacy to cloud migrations?
- Yes. We plan lift-and-shift or refactoring migrations as appropriate, with agreed maintenance windows.
Ready to accelerate development in your company?
Schedule a call and tell us about your project. We'll respond with a custom proposal.