Data Science Consulting

Leverage the experience of some of the worlds finest data scientists to revolutionize your business.

Benefits of Data Science

Learn why data science provides such incredible value.

Data Science Company

Data science helps your organization optimize its processes, decision making, and strategy. It is a high level concept that follows basic scientific principals to answer questions from data.

Machine learning, reinforcement learning and data analytics are tools used by data scientists to help automate a process, decision, or strategy, but often data science is a first step to validate that the solution is sane.

By choosing Winder.AI for your machine learning project, you can be sure that you are leveraging a world-leading AI consultancy. Our vast experience helps businesses like yours discover value from their data. Since 2013 our machine learning experts have been delivering AI projects through the use of data science, machine learning, reinforcement learning, and MLOps.

We provide data science services that adapt to your AI maturity. For those looking to take their first steps we’re able to provide data science advice and consulting to make sure you don’t waste your money. Our rapid turnaround proof-of-concept packages are able to demonstrate value without wasting precious development cycles. We use a combination of data science techniques to validate your ideas and are able to deliver demonstrable services.

We also work with companies that have high levels of AI 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.

Automate Decisions

Automate Decisions

All businesses have to make decisions. Businesses are in fact information machines. Those that can consume, understand and act upon the best information in an optimal way have an inherent advantage over their competitors.

One of the simplest and most effective data science projects that businesses can undertake is to automate parts of the business that consume and act upon big data.

The benefit of a data science solution is that we can improve the consistency and the accuracy of these decisions with advanced analytics, whilst at the same time saving a considerable amount of time.

And by moving these predictive models into a production environment we can remove the manual effort that was previously required to make the decision.

Simplify Processes

Simplify Processes

Processes go hand in hand with business. On the one hand, processes are necessary to standardise practises. But quickly processes begin to eat away at a business’ agility and significant sums are spent on employing people to act out these processes.

There is another way. Data science can be used to encoded this processes in a model that can be repeated over and over again all without human intervention.

The time savings can be huge. But more importantly this allows your business to pick and choose when and how these data-oriented solutions are applied. This means that you can still be agile, applying bespoke processes as and when they are warranted. But still maintain the stability of a process driven business.

Competitive Differentiators

Competitive Differentiators

Truly innovative companies are able to build data-driven products that provide a competitive advantage so incredible that all competition becomes obsolete.

Interestingly, these products might not be user visible. For example, manufacturers can automate quality assurance to maximize production speed. And the result of this isn’t directly visible to the end user. But the speed at which manufacturing can take place causes competitors to struggle to reduce costs and remain lean.

Many of these types of products are so called “expert systems”. These systems try to do one thing very well, which is well suited to data science and cloud native software. This also means that these types of products are very domain specific. But lessons from other industries can be utilized anywhere.

The World's Best AI Companies Trust Winder.AI

We've worked with hundreds of amazing people, all over the world.

  • Machine learning product development for Google.
  • Kubeflow consulting for Microsoft.
  • MLOps consulting and development for Shell.
  • Deep reinforcement learning consulting and development for Nestle
  • MLOps product development for Canonical.
  • MLOps consulting for Docker
  • MLOps consulting for Ofcom
  • MLOps product development for Grafana.
  • MLOps consulting for Stability.AI
  • Authors of a Reinforcement learning book with O'Reilly
  • Data science lecturing with Pearson
  • Machine learning integration for Pachyderm.
  • Vendor MLOps product development for Modzy.
  • MLOps consulting for Neste.
  • Deep reinforcement learning consulting for CMPC.
  • Deep reinforcement learning consulting for Novelis.
  • Reinforcement learning consulting for Genesis
  • MLOps consulting for Lightning.AI
  • AI product development for Protocol Labs
  • MLOps consulting for Tractable
  • MLOps consulting for Interos.AI
  • MLOps consulting for Ultraleap
  • MLOps consulting for AICadium
  • DAS and digital signal processing for OptaSense
  • DAS and digital signal processing for Focus Sensors.
  • DAS and digital signal processing for Frauscher
  • MLOps consulting for Living Optics

Data Science Consulting Services

Our services help you extract maximal value from your data

Data Science Consulting Company

Data science is often touted as being an art, but in reality it’s experience that counts.

By choosing Winder.AI as your trusted data science partner, you can be sure that you are leveraging one of the most highly experienced agencies in the world. Our vast experience helps businesses like yours discover value from their data.

Our data science consultants deliver incredible value by evaluating and recommending strategic business decisions to further your organizational ambitions.

Data Science Consulting

Data Science Consulting

Choosing which data science project to tackle next can be difficult. We take the stress out of your data strategy by:

  • Looking at your data strategy from a holistic, ROI-based perspective
  • Probing your organization to find toil, inefficiency, and opportunities
  • Delivering concrete, actionable recommendations to improve your opportunities through the use of machine learning, reinforcement learning, and MLOps
Data Analysis Consulting

Data Analysis Consulting

In the early phases of nearly every project, a thorough data analysis helps you:

  • Understand the data, the domain, in order to make downstream ML or RL more robust
  • Track when, where, how, and why data was created
  • Provide some initial confidence that a problem is solvable
Data Analytics Consulting

Data Analytics Consulting

When you have a lot of data, but you don’t know what to do with it, data exploration helps you:

  • Ascertain whether data is useful or valuable
  • Catalog data, what it means, and why it might be useful
  • Provide insights that might surprise you
Data Consulting

Data Consulting

You can use your data to help you optimize your current processes:

  • Analyse your data to find the biggest pain points
  • Identify root causes of process inefficiencies
  • Use your data to direct future automation
Supporting Services

Supporting Services

Don’t forget that we have a wide range of other complementary ai technology services that accompany our data science service.

After a data science consulting project, you might consider moving into a machine learning development project that uses deep learning for predictive analytics or data mining for valuable insights.

Then you’ll need our MLOps expertise to maintain accurate predictions and ongoing machine learning governance.

About Us

Winder.AI is a data science consulting firm based in the UK, although we operate globally. Our band of AI consultants have grown organically out of friendship and common engineering philosophies. Each have fascinating origin stories and our diversity, flexibility, and experience sets us apart from other consultancies.

Collaborative data science team

Our Approach to Data Science Consulting

Successful consulting arises from decades of experience. Take a look at our tips for a successful data science consulting project.

Data Science Consulting Process

1. Business Context

Any problem demands context from the business. A solution for one industry may not be applicable to another, nor is every business the same. Establishing shared context helps get the project off to the right start.

2. Stakeholder Inclusion

More than just identification, we find projects are optimal when key stakeholders are including in the project. With “skin in the game”, stakeholders are far more likely to collaborate to produce a better overall solution.

3. Problem Definition

A key phase where business problems are defined and prioritized. It is worth spending time to get this right, as subsequent effort could be ineffective and wasted.

4. Domain Knowledge Transfer

Businesses are often experts in their own domain. This domain expertise is valuable to help direct future solutions.

5. Data Analysis

Any data science consulting involves a limited amount of actual data science. In this phase expert data analysts extract knowledge from the data. This often leverages actionable insight.

6. Research and Validation

Following analysis, some time is often spent validating results or confirming value.

7. Ethical/Legal/Safety Analysis

Any work that arises from the consulting should be de-risked in terms of ethical concerns, legal ramifications, or safety risks. This step depends on the industry, the domain, and the context of the problem.

8. Strategic Solution

A solution is presented back to key stakeholders. In many projects we then move into an implementation phase. Other times we step back and perform another iteration to find a better problem and improve your data strategy.

Optimizing for Value Generation

Businesses have three core operational functions. Processes define how businesses run. Decisions decide when businesses are run. Strategies define why businesses are run.

Software has successfully automated many business processes. Data science automates decisions and strategies via machine learning and reinforcement learning, respectively.

By leveraging our data science consulting services we can help you automate the top two most valuable tiers in the pyramid, to make your organization more efficient and profitable.

The value of reinforcement learning, courtesy of our Reinforcement Learning book.
The OODA loop for continuous innovation.
Winder.AI’s data science consulting strives for continuous innovation. Courtesy of our Reinforcement Learning book.

Continuous Innovation

The infamous OODA loop, originally developed by the US military, is of particular use during our work because it helps promote innovation.

At every phase we look for opportunities to add value and make your products and services better. Our clients find that our work greatly exceeds their expectations due to the extra value presented by our solutions.

Selected Case Studies

Some of our most recent work. You can find more in our portfolio.
MLOps in Supply Chain Management

Case study

MLOps in Supply Chain Management

Interos, a leading supply chain management company, partnered with Winder.AI to enhance their machine learning operations (MLOps). Together, we developed advanced MLOps technologies, including a scalable annotation system, a model deployment suite, AI templates, and a monitoring suite. This collaboration, facilitated by open-source software and Kubernetes deployments, significantly improved Interos’ AI maturity and operational efficiency.

Announcing Stable Audio: A Generative AI Music Service

Case study

Announcing Stable Audio: A Generative AI Music Service

We’re pleased to announce the release of Stable Audio, a new generative AI music service. Stable Audio is a collaboration between Stability.AI and Winder.AI that leverages state-of-the-art audio diffusion models to generate high-quality music from a text prompt.

MLOps in Insurance

Case study

MLOps in Insurance

Tractable.AI is a leading insure-tech company based in the UK and has made significant strides in the motor vehicle insurance sector by leveraging AI technologies. Their innovative approach has allowed them to automate various aspects of the insurance lifecycle, including the complex process of loss adjustment. This AI-driven strategy has not only increased their operational efficiency but also enhanced their service delivery, making them a preferred choice for many customers.

Recent Data Science Articles

Find more articles in our blog.
LLM Prompt Best Practices For Large Context Windows


LLM Prompt Best Practices For Large Context Windows

This article delves into the nuances of using large language models (LLMs) with large context windows, highlighting the benefits and challenges they present, from enhancing coherence and relevance to demanding more computational resources. Learn practical strategies for prompt design, maintaining narrative coherence, and utilizing attention mechanisms effectively.

Interview: How The EU AI Act Was Born With Javier Campos


Interview: How The EU AI Act Was Born With Javier Campos

In this Webinar our CEO Phil Winder sat down with Javier Campos to discuss the EU AI Act. He is chief innovation officer at Fenestra, and is the author of “Grow Your Business with AI: A First Principles Approach for Scaling Artificial Intelligence in the Enterprise”, published by Apress. Javier was involved in the development of the EU AI act, and was also involved in the development of the EU Cookie Law in the early 2010s.

Introduction to the EU AI Act


Introduction to the EU AI Act

This is a video of a presentation introducing the EU AI Act by explaining what it is, how it impacts you, and what you need to do. In subsequent webinars I will delve into the details and provide specific examples. We will also be speaking to other industry experts to provide their insight.

Start Your Data Science Consulting Project Now

The team at Winder.AI are ready to collaborate with you on your data science consulting project. We will design and execute a solution specific to your needs, so you can focus on your own goals. Fill out the form below to get started, or contact us in another way.