Revolutionary Reinforcement Learning Services

Discover how reinforcement learning is changing the way organizations do AI – with one of the world leaders, Winder.AI.

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I could always count on Winder.AI to drive their responsibilities forward with only limited oversight—they knew what our goals were and how to achieve them. They also had a very high bar for quality. Everything they touched delivered an impressive result.

David Aronchick
CEO of Expanso and co-founder of Kubeflow

RL Consulting Services - Reinforcement Learning Services

Our next-generation RL services bring automated strategies to your business.

  • RL Development We’re authors of the book on applying industrial reinforcement learning. Our RL engineers stand ready to develop your projects, e.g. a global aviation company.

  • RL Consulting Make the right decisions at the right time. Winder.AI’s reinforcement learning guidance can help you plan and design solutions to a variety of problems, e.g. a finance company.

  • RL POCs De-risk production RL projects with rapid proof of concept projects, e.g. Nestlé.

  • Simulation Development Simulators enable us to rapidly develop and evaluate RL agents irrespective of the methodology.

  • Deep RL Development Deep reinforcement learning generates the most advanced RL algorithms.

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
  • AI Product Development for Expanso

RL Development Expertise - Our Sweet Spot

Enterprise-ready Reinforcement Learning solutions.

Dedicated AI Company

Unlike larger, more general purpose IT agencies, we specialize in developing AI solutions. We’re more flexible, more pragmatic and better suited to integrate AI into your product.

Production Ready

We combine our bespoke AI solutions with cloud-agnostic or on-premise software engineering to produce production-ready large language models.

Collaborative Working

We exist to help companies like yours build better products. We collaborate closely with your internal engineering teams to both upskill and deliver pragmatic results.

RL Solutions - RL Capabilities

Winder.AI is a flexible, decentralized, independent AI company that can deliver full-stack solutions. Reinforcement learning creates intelligent agents for automated strategies.

Reactive, Strategic Solutions

Reinforcement learning provides techniques and algorithms for reactive agents. Optimize for the long term.

Optimizing For Profit

With RL, you’re able to optimize for the thing you really care about, not a proxy metric, like accuracy.

Automate Complex, Multi-Step Scenarios

RL excels at automating multi-step processes, far better than any machine learning solution.

Cope with Adversity

RL provides better strategies for coping with adverse or anomalous conditions.

Multi-Cloud

Any Library

We ♡ GitOps

Free Book - Reinforcement Learning for Leaders

A free chapter from the book, Reinforcement Learning, by Winder.AI.

  • We are delighted to offer you a complimentary chapter written by our company CEO, Dr. Phil Winder.

    The free chapter will enable you to learn about:

    • What RL problems look like and how RL overcomes these within an organization
    • Proven RL organization implementation processes
    • Top tips for RL pre-production tooling and techniques

    You can find out more on the dedicated RL book website.

How do I get my copy?

Fill in the form and we will send a free chapter on Practical Reinforcement Learning directly to your inbox, free of charge. Please remember to check spam and junk folders if nothing arrives.

What happens next?

What if you would like to learn more about RL, or AI as a whole?

As a leader, you wear many ‘hats’ and, like every organization, no matter its size, it has constant challenges around sorting, cleaning and enhancing data. We listen to leaders’ needs and aspirations for their organizations.

We can offer insights and support, no matter the age or size of your organization. We uniquely work with all sectors.

Dr. Phil Winder will personally aim to reach back over the coming days to answer any follow-up questions you may have.

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 Reinforcement Learning Articles

Find more articles in our blog.
Deep Reinforcement Learning Workshop - Hands-on with Deep RL

Reinforcement Learning

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.

Reinforcement Learning Presentation: Cyber Security

Reinforcement Learning

Reinforcement Learning Presentation: Cyber Security

Dr. Phil Winder shares experiences of Winder.AI’s reinforcement learning consulting experience at a variety of large and small organizations. Abstract In this talk he focuses on RL applications, looking at the use of RL in cyber security and discusses one interesting case study about how Winder.AI helped an internal security team develop a tool to hack web application firewalls. About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.

Automating Cyber-Security with Reinforcement Learning

Reinforcement Learning

Automating Cyber-Security with Reinforcement Learning

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. The common suggestion is to test for security, often leveraging the expertise of security-focussed engineers or automated scripts. But there are two fundamental issues with this approach: 1) security engineers do not scale, and 2) scripts are unlikely to cover all security concerns to begin with, let alone deal with new threats or increased attack surfaces.

FAQs - Frequently Asked Questions

This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.

Start Your RL Development Project Now

The team at Winder.AI are ready to collaborate with you on your rl development 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.

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