Data & AI Engineering | Anexia Digital Engineering

Elevate data and AI into production.
From data pipeline to production model: we build systems that turn raw data into reliable predictions and automated decisions.
Explore AI & products
ML · Analytics · Vision

Raw data, real value.
We build reliable data pipelines and evaluate models against representative business tasks. Our competence centre for AI and mathematical modelling supports selection and assessment. Before deployment, we define acceptance criteria, test failure cases and review integration. For assistants and agents, access rules and human approval points are part of the design. Monitoring tracks quality and model drift in operation.
Data engineering
ETL, streaming with Kafka and Spark, a data warehouse as consistent foundation.
Machine learning
Models with TensorFlow and PyTorch for forecasting, classification and automation.
Evaluate before deployment
Defined evaluation cases, expert assessment and documented acceptance criteria make model quality assessable before go-live.
Governance built in
Conformity with the EU AI Act considered from the start.
Data becomes decisions.

Machine learning engineering
Production ML systems instead of notebook experiments - trained and deployed.

Data engineering
Data platforms, pipelines and warehouses as the foundation for data-driven value.

Predictive analytics
Forecasting models for demand, churn or maintenance needs (predictive maintenance).

Conversational AI
Knowledge assistants, document processing and agents connected to your systems, with defined access and human approval for relevant actions.

Computer vision
Image and video analysis for quality control, detection and automation.
MLOps & operations
Models integrated via APIs, monitored and continuously retrained.
Raw data creates value.
Data foundation
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Models
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Operations
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Activate. Data, put to work.
We put your data to work, all the way through pipeline and production model - whether the source is your ERP or IoT sensors and the goal a demand forecast. Talk to our data engineers.
