Winder.ai - A Data Science Consultancy

Unleash the potential of your data to automate organizational inefficiencies and supercharge your products.

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Data Services

Winder Research helps companies build product-quality AI products and platforms.

Data Science

Data Science

Do you have a project in mind but you’re not sure where to start?

Data Science is the art and discipline of extracting value from data for your organization. Our world-leading data scientists can help you develop data-centric products and services.

Machine Learning

Machine Learning

Do you want to build machine learning products or services, but don’t have the time or resources?

Learn more about our extensive machine learning expertise and how we can enable your organization to scale its machine learning transformation.

Reinforcement Learning

Reinforcement Learning

Would you like to take advantage of one of the most sophisticated artificial intelligence technology available today?

Reinforcement learning approaches automate strategic decision processes, lifting your business’s decision making ability to new heights. And we wrote the book on it!

MLOps

MLOps

Are you struggling to scale your machine learning strategy?

Speak to us about how we helped define machine learning operations, or MLOps. Our prestigious clients love our world-renowned expertise and our down-to-earth, practical implementations.

AI Product Development

AI Product Development

Are you an AI product vendor, and want to speed up product development?

We’ve helped some of the biggest and best AI product companies in the world, delivering product enhancements, integrations, and performing strategic research.

The World's Best AI Companies

From startups to the world’s largest enterprises, companies trust Winder Research.

Who We Are

We're a group of multi-disciplinary experts.

A talented team

Winder Research was founded by Dr. Phil Winder. For more than 8 years, Phil and his team have been delivering AI success. Learn more about us.

Winder Research is comprised of PhD educated engineers that specialize in data related fields like reinforcement learning, machine learning, data science, and MLOps. But we emphasize and encourage multi-disciplinary skills, since we often need to leverage our software engineering and cloud-native expertise to deliver complex data-driven products and projects.

A diverse team

We work together with other industry experts to build teams that suit the job at hand. Take advantage of our experience and network to rapidly expand your team and capabilities.

Learn more about what we do

Winder Research's book on Reinforcement Learning.

Selected Case Studies

Some of our most recent work. Find more in our portfolio.

Using Reinforcement Learning to Attack Web Application Firewalls

Introduction Ideally, the best way to improve the security of any system is to detect all vulnerabilities and patch them. Unfortunately this is rarely possible due to the extreme complexity of modern systems. One primary threat are payloads arriving from the public internet, with the attacker using them to discover and exploit vulnerabilities. For this reason, web application firewalls (WAF) are introduced to detect suspicious behaviour. These are often rules based and when they detect nefarious activities they significantly reduce the overall damage.

Helping Modzy Build an ML Platform

Winder Research collaborated with the Modzy development team and MLOps Consulting to deliver a variety of solutions that make up the Modzy product, a ModelOps and MLOps platform. A summary of this work includes: Developing the Open Model Interface Open-sourcing chassis, the missing link that allows data scientists to build robust ML containers Model monitoring and observability product features MLOps and model management product features The Problem: How to Build An ML Platform Modzy’s goal is to help large organizations orchestrate and manage their machine learning (ML) models.

How To Build a Robust ML Workflow With Pachyderm and Seldon

This article outlines the technical design behind the Pachyderm-Seldon Deploy integration available on GitHub and is intended to highlight the salient features of the demo. For an in depth overview watch the accompanying video on YouTube. Introduction Pachyderm and Seldon run on top of Kubernetes, a scalable orchestration system; here I explain their installation process, then I use an example use case to illustrate how to operate a release, rollback, fix, re-release cycle in a live ML deployment.