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Machine Learning

Machine learning development in Auckland.

Turn the data you already have into decisions you can trust.

Overview

Our machine learning team transforms data into actionable insights and innovative solutions. Whether you want to optimise operations, understand your customers better or explore new product ideas, we build tailor-made models and take them all the way into production.

Machine Learning for businesses inAuckland,New Zealand,Australia,Germany andIndia.

What we deliver

01

Predictive models

Forecast demand, churn, risk and more with models trained on your data.

02

Computer vision

Detect, classify and measure from images and video for quality and safety use cases.

03

Data pipelines

Collect, clean and organise data so it is ready for analytics and ML.

04

MLOps & deployment

Monitored, versioned models running reliably in production — not stuck in a notebook.

Typical projects

  • Demand forecasting
  • Anomaly & fraud detection
  • Recommendation engines
  • Visual inspection

Tools & technologies

  • Python
  • TensorFlow
  • PyTorch
  • Keras
  • scikit-learn
  • XGBoost
  • LightGBM
  • Pandas
  • NumPy
  • OpenCV
  • YOLO
  • Jupyter
  • MLflow
  • Apache Spark
  • Databricks
  • Power BI

We choose tools to suit your project, team and budget — not the other way around.

FAQ

Machine Learning questions, answered.

Can’t find what you’re looking for? Ask us directly.

What's the difference between AI and machine learning?

Machine learning is a branch of AI where models learn patterns from data — for example forecasting demand or spotting defects in images. Many AI products use machine learning under the hood; our ML work focuses on models trained on your own data.

How much data do we need for a machine learning project?

It depends on the problem. Some use cases work with a few thousand good-quality records; others need much more. We run a short data assessment first so you know what's feasible before investing.

Can you deploy models into our existing systems?

Yes. We package models as APIs or batch jobs, connect them to your applications and set up monitoring so they keep performing in production.

Start a project

Ready to start your Machine Learning project?

Tell us about your project and we’ll come back with honest advice, a clear plan and a realistic estimate — no obligation.