Machine Learning Consulting
We help leaders decide where machine learning will actually move the business, then build the team, data and models to get there. From a one week assessment to a full ML program, we go as deep as you need.
- Replies inside 1 business day
- Fixed-scope or retainer engagements
- Teams in Canada and Nigeria
Why teams pick us
Pick the ML projects worth doing, ship the ones that pay back
Most companies have a list of 20 possible ML ideas and the wrong three at the top. We help you cut that list to the one or two that pay for themselves, then bring in the engineering to actually ship them.
1 to 3
Use cases shortlisted
From the long list
<8 wk
Pilot to measurable result
Typical
5x
Faster iteration
With proper MLOps in place
100%
Strategy + execution path
Never advice only
Why Dafe Software
What you get when you work with us
Outcome focused, not paper focused
We are interested in revenue, cost, retention and risk reduction, not in publishing the next leaderboard winner.
Senior advisors
Engagements are led by engineers who have shipped real ML systems in production, not professors who have not touched a deploy in years.
Honest about feasibility
Sometimes ML is the right answer. Sometimes a SQL query or a rules engine will do. We will tell you which one fits.
Data and team focused
Most ML problems are really data problems or org problems. We engage with both, not just the model layer.
Roadmaps with phases
Quick wins this quarter, foundation next quarter, ambitious bets the quarter after. Real plans, not 80 slide decks.
From advice to delivery
We can hand the strategy to your team or staff it ourselves through our team augmentation arm.
What we deliver
Machine Learning Consulting we ship every quarter
ML strategy & opportunity mapping
Two to four week engagement to score, prioritise and roadmap your ML opportunities against business KPIs.
Data readiness audit
Honest review of your data, instrumentation, warehouse and labelling, with a prioritised plan to fix what is in the way.
ML architecture review
Deep dive on your existing ML systems: training, serving, monitoring, drift, cost and team structure.
MLOps & platform consulting
Pick the right ML platform, training infra and feature store for your stage. Open source or managed.
Hands on model development
When you need a model built, we will build it. Forecasting, classification, ranking, vision, NLP.
Fractional ML leadership
Part time Head of ML for early stage companies that need direction but not yet a full time hire.
How we work
A process built for shipping, not stalling
Discovery
Workshops with leadership, product and data teams to surface candidate use cases and constraints.
Prioritise
We score opportunities on value, data readiness, feasibility and effort, then pick the right starting line up.
Pilot
Take one chosen use case to a measurable pilot inside 6 to 8 weeks, with a real eval and stakeholder demo.
Scale
Build the platform, processes and team to take the next 3 to 5 use cases from idea to production.
Tech stack
Tools we lean on for machine learning consulting
Start the conversation
Two ways to talk to us about your machine learning consulting
Send a written brief and we will reply with a real plan, or grab a free 30 minute call on our calendar. Whichever is faster for you.
Book a free 30 min call- Reply within 1 business day, every time
- Senior engineer on the first call, not a sales rep
- No pressure, no hard sell, no recurring nudges
Project Inquiry
Tell us where you want ML to make a difference
Share a short brief. A senior ML consultant will reply within one business day to scope an engagement.
Common questions
Frequently asked
Where should we start with ML?+
Usually with a 2 to 4 week opportunity mapping engagement. By the end you know which use cases are worth pursuing, in what order, and what data and team gaps to close first.
Do you need us to have a data team already?+
No. We work with everything from a single analyst to a 30 person data org. We adapt the engagement model to your stage.
Can you build the model yourselves?+
Yes. Many engagements start as strategy and continue into hands on delivery, either directly or via our team augmentation arm.
How is this different from generic management consulting?+
We write code. Every recommendation we make, we have done at least once. You will never sit in a steering committee with people who could not deploy a model on a dare.
