MACHINE LEARNING

FROM DATA TO DECISIONS.

Custom model training, feature engineering, data pipelines, and MLOps. We turn your data into decision-making systems — built, validated, and deployed on EU infrastructure.

DISCUSS YOUR DATA How we train models

Custom model training
EU infrastructure
MLOps & monitoring
GDPR-compliant data

Custom Models CUSTOM MODELS

Pipelines DATA PIPELINES

MLOps MLOPS

EU EU INFRASTRUCTURE

WHAT WE BUILD

From raw data to deployed models.

Custom model training, feature engineering, data pipelines, and MLOps. We build production-grade machine learning systems — from raw data to deployed models with monitoring, retraining, and drift detection.

Every model is validated against real-world performance metrics, not just test set accuracy. We build systems that work in production, not just in notebooks.

0 Models deployed

0 Model uptime

0 Training cycle

EU Data residency

OUR PIPELINE

Data Assessment

Evaluate data quality, volume, and relevance. Define features, identify gaps, and design the collection strategy.

Model Development

Feature engineering, model selection, hyperparameter tuning, and cross-validation. Rigorous experimentation with tracked results.

Validation & Testing

Out-of-sample testing, A/B experiments, and business metric validation. Models must prove value before deployment.

Deploy & Monitor

Containerised model serving, automated retraining pipelines, drift detection, and performance dashboards.

ML SERVICES

Custom Model Training

Supervised, unsupervised, and reinforcement learning. Models trained on your data for your specific use case.

Feature Engineering

Transform raw data into predictive features. Domain-specific feature design that dramatically improves model performance.

Data Pipelines

Automated ETL, data validation, and feature stores. Reliable data flows from source systems to model inputs.

MLOps & Deployment

Model versioning, A/B testing, canary deployments, and automated rollback. Production ML infrastructure done right.

Anomaly Detection

Real-time and batch anomaly detection for fraud, equipment failure, security threats, and quality control.

Forecasting & Optimisation

Demand forecasting, price optimisation, resource allocation. Predictive models that directly impact business decisions.

0 Models in production

0 Model uptime

0 Training to deployment

0 Data outside EU

USE CASES

Manufacturing & Logistics

Predict failures before they happen.

Predictive maintenance, quality control, demand forecasting. ML models trained on your operational data to reduce downtime and waste.

Predictive maintenance models
Quality inspection automation
Demand forecasting
Supply chain optimisation

Financial Services

Data-driven decisions at scale.

Risk scoring, fraud detection, customer segmentation. Models that process millions of transactions in real time.

Real-time fraud detection
Credit risk scoring
Customer segmentation
Transaction anomaly detection

WHY ALTOVAR

EU Data Residency All training data and models stay in Europe. Full GDPR compliance, no cross-border data transfers.

Production Focus We don't build notebook demos. Every model is designed for production deployment from day one.

Measurable Impact Every model has defined business KPIs. We measure real-world impact, not just accuracy scores.

Full Pipeline From data engineering to model serving. One team builds and maintains the entire ML stack.

Continuous Learning Automated retraining pipelines with drift detection. Models improve over time, they don't decay.

Transparent Models Explainability built in. You understand why the model makes each prediction, not just what it predicts.

GET IN TOUCH

Talk toour team.

We'll show how Altovar integrates into your infrastructure. No commitment, no sales pitch. Just a technical conversation.

BOOK A DEMO →