Machine Learning & MLOps

Models that make it to production, not just a notebook

Since day one we have built forecasting, scoring, matching and computer-vision models for demanding sectors — and the MLOps around them so they keep performing after go-live.

Free Data Consult

ForecastingScoringComputer visionNLPMLOpsAI Act

Machine Learning & MLOps

Why Liplyn Information Group for your sector

Specialist models

Forecasting, risk scoring, churn, pricing, anomaly detection, NLP and computer vision — chosen for the problem, not the hype.

MLOps

Feature stores, model registry, automated retraining, versioning and rollback across environments.

Drift monitoring

Performance, data drift and bias tracked continuously with alerts before results degrade.

Explainability

SHAP-based explanations, model cards and audit trails aligned with the EU AI Act.

What we deliver

A use case with a business case, a validated model, and the operational plumbing to keep it trustworthy.

Use-case selection and value estimation

Feature engineering on your governed data foundation

Model development, validation and benchmark against baseline

Deployment as API, batch job or embedded in your product

Automated retraining and champion/challenger setup

Drift, bias and performance monitoring dashboards

Model documentation for auditors and regulators

Discuss a machine learning use case

Share the decision you want to improve — we'll assess feasibility and expected impact.

Trusted by leading brands

Frequently asked questions

Not always. We can prove value on a scoped dataset, but sustainable models need reliable pipelines — we usually run platform and model work in parallel.

We classify the use case by risk, document data sources, performance and limitations in a model card, and add human oversight and logging where the regulation requires it.

Both. Language models are excellent for unstructured text and agents; gradient boosting and statistical models still outperform them for tabular forecasting and scoring.

All articles

Machine Learning & MLOps by industry

This service is deployed in the sectors below. Open an industry page for use cases, case studies and results.

Turn a promising model into a working asset

Most models fail in operations, not in training. We build for the day after go-live.

Scope an ML use case

Other data services

Each data service and product has its own dedicated page.

Models that make it to production, not just a notebook