Services

Four complementary fronts covering the full data cycle: capture, organise, analyse and turn into action.

01

Data Engineering

The foundation of any data strategy that actually works.

We design and build modern data platforms: reliable pipelines, lakehouse architectures, batch and streaming ingestion, and data that is organised, versioned and ready for consumption.

  • Databricks, our specialty: PySpark and Delta Lake
  • Data architecture (lakehouse, data mesh, warehouse)
  • Orchestration with Apache Airflow and migration from NiFi
  • Streaming and real-time data (Auto Loader)
  • Cloud migration (Azure, AWS, GCP)
  • Data observability and quality
02

Analytics & Business Intelligence

Trustworthy metrics and dashboards that answer business questions.

We translate business questions into metrics, semantic models and visualisations that people actually use. Fewer vanity reports, more evidence-based decisions.

  • KPI definition and semantic layer
  • Executive and operational dashboards
  • Self-service analytics for your teams
  • Exploratory and diagnostic analysis
  • Tools: Power BI, Looker, Metabase, Tableau
03

Artificial Intelligence

AI applied where it pays off, not where it makes headlines.

From classic predictive models to generative AI: we identify use cases with clear ROI, build fast proofs of concept and take them to production with real MLOps.

  • Demand, churn and default prediction
  • Recommendation and personalisation systems
  • Generative AI and agents (LLMs) applied to the business
  • Computer vision and NLP
  • MLOps: deployment, monitoring and retraining
04

Data Governance & Culture

Technology without culture ends up on a shelf. We handle both.

We set up pragmatic governance (security, quality, catalogue, data privacy) and train your teams so the company keeps evolving without depending on a consultancy forever.

  • Data catalogue and lineage
  • Data quality and SLAs
  • Data privacy compliance and security
  • Data literacy: training and enablement
  • Team structure and data-driven rituals

How we deliver

Scope follows the maturity of your operation. We come in where it makes sense, from the first diagnosis to running the platform.

Diagnosis and roadmap

We map sources, flows, costs and pain points. You leave with a plan ranked by impact, not with a list of technologies.

End-to-end platform

Medallion architecture, pipelines, catalogue and automated quality. The base that stops analytics from contradicting itself.

Migration and modernisation

Off legacy tooling and onto managed stacks without stopping the operation. NiFi to Airflow and batch loads to streaming are routine here.

Analytics and AI in production

Dashboards, predictive models and automations that run every day, monitored and owned. A pilot that never ships does not count.

Evolution and sustainment

Day-to-day platform operation: agreed load windows, failure detection, cost control and continuous improvement.

Dedicated squad

An Aule team working inside yours, with agreed scope and deliverables. You hire what the squad ships, not headcount by the hour.

Enablement and data literacy

We train your team on the tools and on the way of working. Our success is you not needing us any more.