Industrialisation of AI/ML

AI, and data in general, is rapidly becoming an important aspect in any organisation. And just like you want a clean, organised kitchen to work in, it is essential to prevent a sprawl of machine learning models, datasets and scripts in your environment.

  1. We enable the creation of scalable and production-ready AI/ML products that are automated, repeatable, and reliable.
  2. We provide the required infrastructure and environment for AI/ML products.
Download the ML/DS Industrialisation Booklet

Typical pain points

  • Deploying ML-algorithms on a cloud environment.
  • The need for a consolidated & performant environment where data and code can live.
  • Having to regularly re-train algorithms with unseen data.
  • Working with datasets that are too big to handle on your local machine.
  • Making real-time predictions, and streaming them to an operational team.

What we offer

  • Standardization of the AI/ML lifecycle.
  • Deployment of ML algorithms on a cloud environment.
  • Scoring/Prediction on a given schedule.
  • Regularly re-training of algorithms with unseen data.
  • Guidance on working with datasets that are too big to handle on a single machine.
  • Delivery of real-time predictions, and streaming them to an operational team.

With several exciting solutions on the market today, we are happy to discuss what works best for you.

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Our references

Colruyt Group
Helping Colruyt Group bring machine learning solutions to business.

Colruyt Group is a Belgian company mostly known for its extensive supermarket chain, but is also active in wholesale, export,…

Argenta
MLOps at Argenta

We helped Argenta automate deployment and monitoring of their algorithms. In collaboration with internal and external Data Scientists at Argenta,…

Feature database review

Thousands of predictors available for every Data Scientist Are you aware that many data science teams spend 80% of their…

Eager to know more?

Then definitely get in touch with Wouter. He will be happy to schedule a first (virtual) meeting to discuss all your possibilities. Let’s get started!

Wouter Buckinx

Wouter Buckinx

Director .Data
+32 474 39 85 45
Contact Wouter