Machine Learning Consulting Services
Machine learning consulting for companies that want models in production, not in slide decks. We check whether your problem suits machine learning, whether your data can support it and what it will take to run the model every day.
What machine learning consulting covers
Machine learning consulting is the work that happens before and around model building: framing the business problem, assessing the data, choosing the approach, estimating the return and planning deployment and maintenance.
A good ML consultant will sometimes tell you that you do not need machine learning at all. A rule, a report or a better process is often cheaper. When ML is the right tool, the consulting phase sets the success metric and the data plan, which are the two things most ML projects get wrong.
When you need an ML consultant
- You have a forecasting, pricing, risk or quality problem and are not sure ML will beat your current method.
- A model worked in a notebook but never made it to production.
- You have data in many systems and do not know if it is good enough.
- You need to choose between building in-house, buying a product or working with a vendor.
Our ML consulting services
- Feasibility study: data review, baseline and a go or no-go recommendation.
- Use-case prioritisation across departments.
- Architecture and MLOps design for deployment, monitoring and retraining.
- Model review and audit for existing systems, including bias and drift.
- Team and vendor advice on what to build in-house.
How an ML consulting engagement works
We start with workshops to agree the problem and the metric. Then we analyse a sample of your data and build a simple baseline, so every later model has something to beat. We finish with a written recommendation, a roadmap and, if you want, a proof of concept. Because our engineers also build and run ML systems, the plan reflects what delivery really takes.
Choosing a machine learning consulting company
Look for a firm that has put models into production in your industry, can show how it measures success and is open about when ML is not the answer. Ask who will do the work, how they handle data security and what happens after the first model ships. We are happy to answer all of these in the first call.
Frequently asked questions
What does a machine learning consultant do?
Assesses whether your problem suits machine learning, checks your data, selects the approach and plans how the model will be built, deployed and maintained.
How is ML consulting different from ML development?
Consulting decides what to build and whether it is worth it. Development builds and runs it. We do both, so the plan is realistic.
How long does an ML consulting engagement last?
A feasibility study takes two to four weeks. A full roadmap with data plan and architecture takes four to eight weeks.
Do you work with UK companies?
Yes, as well as clients across the DACH region and Benelux.
Find out if ML will beat your current method
Share the problem and a sample of your data. We will tell you whether machine learning is worth it before you invest.