Big Data

Architecture & data engineering

We design and deploy robust Big Data architectures capable of absorbing and unlocking value from your data flows at scale.

  • ✓ Audit of your existing data ecosystem
  • ✓ Architecture design (Hadoop, Spark, Kafka, NiFi…)
  • ✓ Data engineering & pipelines (ETL/ELT)
  • ✓ Storage and performance optimization
Hadoop Kafka NiFi Spark Hive HDFS
Machine Learning Data Science MLOps NLP Computer Vision GenAI
Artificial Intelligence

From raw data to augmented decisions

We design AI and Data Science solutions aligned with your business challenges, from use case to production deployment.

  • ✓ Identifying and scoping AI use cases
  • ✓ Modeling & Machine Learning
  • ✓ Model deployment to production (MLOps)
  • ✓ Training internal teams on AI
Cloud

Migration, scalability & cloud optimization

We support the migration of your infrastructure to the Cloud and optimize your environments for performance, security and cost.

  • ✓ Cloud strategy & migration (AWS, Azure, GCP)
  • ✓ Scalable, highly-available architectures
  • ✓ Data security, governance and compliance
  • ✓ Infrastructure cost optimization (FinOps)
AWS Azure GCP Kubernetes Docker Terraform
Our method

A structured, four-step approach

1

Audit

Analysis of your data maturity and business challenges.

2

Strategy

Defining a prioritized, realistic roadmap.

3

Implementation

Technical delivery with a constant focus on quality.

4

Follow-up

Ongoing support and upskilling of your teams.

Let's talk about your project

A free first conversation to scope your needs

Tell us about your context: we'll get back to you within 48h with initial recommendations.

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