machine learning
ML Delivers An Exceptional ROI.
Machine learning consulting services to revolutionize your organization.
Data science consulting
Machine Learning Services
Our machine learning consulting services help you extract maximal value from your data.
By choosing DataLeap for your machine learning project, you can be sure that you are leveraging a world-leading ML consultancy. Our vast experience helps businesses like yours discover value from their data. Since 2013 our machine learning experts have been delivering ML projects through the use of data science, machine learning, reinforcement learning, and MLOps.
Aside from ML development, our machine learning consultants deliver incredible value by evaluating and recommending strategic business decisions to further your organizational ambitions and develop your ML systems.
We provide machine learning services that adapt to your ML maturity. For those looking to take their first steps, we’re able to provide machine learning advice and consulting to make sure you don’t waste your money. Our rapid turnaround proof-of-concept packages can demonstrate value without wasting precious development cycles. We use a combination of data science techniques to validate your ideas and can deliver demonstrable services.
We also work with companies that have high levels of ML maturity. Our engineers adapt their working practices to your development philosophy and integrate with your teams. Our advanced MLOps experience ensures that our solutions are practical, pragmatic, and operationally excellent.
How It Works
Machine Learning Consulting Process
Successful consulting arises from decades of experience. Take a look at our tips for a successful machine learning consulting project.
Business Context
Any problem demands context from the business. A solution for one industry may not apply to another, nor is every business the same. Establishing a shared context helps get the project off to the right start.
Stakeholder Inclusion
More than just identification, we find projects are optimal when key stakeholders are included in the project. With “skin in the game”, stakeholders are far more likely to collaborate to produce a better overall solution.
Problem Definition
A key phase where business problems are defined and prioritized. It is worth spending time to get this right, as subsequent efforts could be ineffective and wasted.
Interviews
Data scientists and machine learning engineers are already experts in the work that they do, so interviewing them to learn what they do, how they work, and what the models they have produced do, is an important stage in the process.
Model Review
Reviewing ML models is sometimes the main task in an ML consulting project. Here we collaborate with you to evaluate your current models. We look at performance, toil, risk, and many other important factors.
Solution Review
Given knowledge of the problem and the processes and models involved, we’re now in a position to ask whether the problem is being solved. If not, we will isolate why not, and provide actionable insight into how to fix it.
Problem Solution
If necessary, we provide details as to what needs to happen to fix the issues you are having with this particular problem.
Strategic Solution
Commonly, we find larger, strategic-level issues that should be addressed for optimal ML usage. In this phase, we present these solutions back to key stakeholders. In many projects, we then move into an implementation phase. Other times we step back and perform another iteration to fix another problem. We will likely follow up with data science consulting to help investigate problems further or move into a machine learning development phase for implementation.
Benefits
Benefits of Our Machine Learning Consulting
Learn how machine learning provides such incredible value.
Transform Your Organization with Machine Learning Consulting
Machine learning helps your organization automate decisions using algorithms that learn from your data.
Unlike data science, which takes a holistic view of improving your business, machine learning focuses on applied techniques to solve automation problems with artificial intelligence.
In fact, if you’re reading this page then you’re probably already aware of the benefits of data science in general.
Our machine learning services are a little different, however, so please take your time. We’ve found that most projects are not straightforward and are non-linear. Practical, useful, valuable data science has emerged thanks to advances in distributed and cloud-native technology, but this does lead to a lofty technical stack. Depending on your ML maturity you may not have the underlying dependencies in place. Thankfully, our DevOps consulting experience allows us to backfill dependent technologies as and when they are required.
SERVICES
Machine Learning Consulting Expertise
We're open, unbiased, and flexible enough to work with your stack.
Text - NLP
Highly experienced in Natural Language Processing (NLP), e.g. we built Google’s BERT implementations in Vertex AI.
Image - Computer Vision
Used in a variety of industrial settings; from video feeds to image generation.
Structured
Modelling your data to provide exceptionally robust predictive analytics and forecasting.