ML Consulting

Machine Learning Services

Our machine learning consulting services help you extract maximal value from your data.

Machine Learning Company

By choosing Winder.AI 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.

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

Looking at your ML 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

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Model Development

We’ve been implementing machine learning models since 2013. We’ve likely worked on a similar problem in your domain in the past. We leverage our expertise to provide you with straightforward advice and implementations. We can:

Work with a variety of ML technologies
Develop within the confines of your stack
Collaborate with you and your team to achieve successful outcomes

ML Development

Data Science Consulting

Nearly all of our projects involve a data science consultant because it’s vital that the consultant understands the domain, in order to deliver pragmatic models. During this process we:

Perform exploratory data analysis (EDA)
Provide you with our feedback, based upon what we have seen in the past
Recommend the next best action that will lead to the greatest uplift

Data Science Consulting

Model Evaluation

Developing decent models whilst not easy, is straightforward if you know what’s important. Allow us to review your model portfolio and we can:

Explain why models are failing or are not performing adequately
Suggest improvements to help robustness, performance, provenance, and more…
Evaluate risk within your model portfolio and identify ways of reducing it

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ML Process Improvement

Do you struggle to gain consistency in your machine learning projects? Like we did for Neste, we can help you:

Establish the maturity of your machine learning process by evaluating your current ways of working
Provide actionable suggestions to improve your organization’s ML maturity
Actively promote and help you disseminate better ways of working.

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Supporting Services

Don’t forget that we have a range of other related AI services that accompany the work that we do. From data science consulting to MLOps implementation, we have the capability to make your AI run like clockwork.

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About Us

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

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.

We're A Machine Learning Company

Looking for an expert machine learning engineer?

Since 2013, before machine learning existed, we were developing algorithms to decide, track, detect, search, recommend and more. We’re about as experienced as you can get. Over the years we’ve worked with a range of artificial intelligence companies, which multiplies the experience that we can transfer over to you.

And remember that we only specialize in ML applications, so our focus and expertise are not diluted by other disciplines - we love cloud-native though!

Our Previous Work

Production-Ready Solutions

Burnt by data scientists that are good at math, bad at products?

We agree. This exact issue years ago was what spurred Phil to start training software engineers who wanted to become data science consultants. He spent several years travelling the world delivering workshops at conferences and teaching privately. Conservatively, he’s taught data science to thousands of engineers. Winder.AI doesn’t specialise in training anymore, but we still hold the ideal of fundamental engineering excellence close to our hearts.

Together with our MLOps services, we provide production-ready, operational AI solutions.

Flexibility

Tired of large consultancies defining your terms and conditions?

We exist to help companies like yours expand and improve upon their ML systems. Our size enables us to provide exemplary service whilst adapting to your ways of working to deliver your machine learning solution.

Dedicated To Machine Learning

Worried by IT outfits that claim to do ML?

Winder.AI is a dedicated machine learning consultancy. We’re not a generic software engineering shop, knee-jerking into a new market with deep learning. Since 2013 we’ve been offering our ml services and we focus solely on machine learning and artificial intelligence.

Yes, our offering has expanded over the years as we’ve pioneered new fields like reinforcement learning and MLOps, but we’re still engineering-focused ML consultants at heart and we’re still excited by the potential of data to help your organization.

Machine Learning Consulting Expertise

We're open, unbiased, and flexible enough to work with your stack.

Machine learning has extended its reach into nearly every industry through domain-specific techniques and applications.

Since Winder.AI is a flexible, decentralized, independent machine learning company, we have a surprisingly diverse set of experiences that we can bring to your organization.

We offer a range of data science services to help companies of all sizes to build better products for increased customer satisfaction or greater market share. Revitalize wasteful internal processes by automating important decisions. Leverage intelligent agents to proactively learn from experience. Develop automated and optimized strategies to drive your business into the future.

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. We’ve developed a range of image solutions from segmentation to detection, including projects like health and safety violations on retail sites for Shell.

Structured

Modelling your data to provide exceptionally robust predictive analytics and forecasting.

Time-Series - DSP

Unparalleled experience with high-dimensional time-series data and digital signal processing. E.g. heating control algorithms

Audio

Massive experience in high-dimensional streaming audio detection and recognition. E.g. detection, tracking, and monitoring algorithms for Focus Sensors, Optasense, and Frauscher.

Question-Answering and Chatbots

For intelligent interaction in text-based domains. E.g. QA platform.

Deep Learning

Neural networks and deep learning techniques are used in nearly all of our work.

Supervised Learning

Stalwart ML technique. Sometimes less efficient than reinforcement learning but industrially mature.

Semi-Supervised and Unsupervised Learning

When you don’t have labels, leverage our MLOps experience in annotation services, paired with active learning, to rapidly improve your model.

Generative And Adversarial Deep Learning

Generative methods learn to simulate your data. Immensely useful in a range of applications and reinforcement learning.

Linear Methods - XGBoost, SKLearn, the rest...

Simple is better!

Batch and Streaming

Adapt to any data format. Batch is simpler, but streaming is optimal in some use cases.

Multi-Cloud

Language Agnostic

Any Library

We ♡ GitOps

Our Approach to Machine Learning Consulting

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

Machine Learning Consulting Process

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. Problem Solution

If necessary, we provide details as to what needs to happen to fix the issues you are having with this particular problem.

8. 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.

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 with an ML solution, to make your organization more efficient and profitable.

The value of reinforcement learning, 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.

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.

Explain, Enhance and Enrich Your Data with Bacalhau Amplify

Bacalhau is a project started under Protocol Labs, but has now spun out into Expanso, Inc. Expanso is a leading Web3 innovator specializing in developing next generation decentralized commodity services. This case study, which includes a video presentation, describes the proceeds of this collaboration. The Bacalhau team asked Winder.AI to help them develop a new AI product designed to perform data engineering at web-scale, backed by Web3 technologies.

Presentation: MLOps and the Online Safety Bill

This is a video of a presentation about the UK’s online safety bill. This places new burdens on social media companies to moderate content to keep the public safe. This video discusses how platforms are using MLOps to help operate AI solutions that allow them to scale and prevent hundreds of violating posts from being published every second.

Recent Machine Learning Consulting Articles

Find more articles in our blog.

Part 3: Training Custom ChatGPT and Large Language Models

In just a few years since the transformer architecture was first published, large language models (LLMs) have made huge strides in terms of performance, cost, and potential. In the previous two parts of this series, we’ve already explored the fundamental principles of such models and the intricacies of the development process.

Yet, before an AI product can reach its users, the developer must make yet more key decisions. Here, we’re going to dig into whether you should train your own ChatGPT model with custom data.

Deep Reinforcement Learning Workshop - Hands-on with Deep RL

This is a video of a workshop about deep reinforcement learning (DRL). First presented at ODSC London in 2023, it is nearly three hours long and covers a wide variety of topics. Split into three sections, the video introduces DRL and RL applications, explains how to develop an RL project, and walks you through two RL example notebooks.

Part 2: An Overview of LLM Development & Training ChatGPT

The premise of LLMs is beautifully exemplified by products like ChatGPT, that use these models to power conversational interfaces, offering a seamless and engaging chat user experience. In this second part of our series on ChatGPT, we provide an overview of what it’s like to develop against commercial LLM offerings and what it takes to begin developing your bespoke model.

Start Your Machine Learning Consulting Project Now

The team at Winder.AI are ready to collaborate with you on your machine learning 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.