Winning Businesses Use Unstoppable AI
While best known for our groundbreaking work in Reinforcement Learning, we also have considerable AI implementation expertise in business automation, the commercial application of generative AI, and decades of experience running production workloads at scale.
AI strategy delivers vast returns on your investment with new products, scale and efficiency savings.
Unlock your potential with our enterprise AI. Automate burdensome processes, scale your product and add capabilities. Develop your AI strategy to do all this and more.
AI opens new markets and opportunities for your products. In 2023, the global AI market was valued at nearly $200 billion. We can help you build your AI business strategy.
Reduce friction by automating away inefficiency. Remove decision-making bottlenecks and reduce customer burden. AI in business helps you deliver more with less.
We've worked with hundreds of amazing people, all over the world.
Winder.AI helps companies build production-quality AI products and platforms. Click on a link below to find out more.
AI Development & Consulting is for enterprises that want to bolster company-wide AI initiatives. We’re able to provide holistic AI strategy consulting and AI implementation services.
AI Product Development is for businesses who are building products with AI components. We’re an award-winning AI product development company.
Large Language Models & GenAI services specialize in applications that leverage generative AI technology, like large language models. We provide generative AI strategy consulting and development.
Reinforcement Learning helps organizations automate applications that require contextual, strategic decision-making. We’re world leaders.
MLOps helps to scale the use of AI within an organization. Empower your staff to deliver more, faster.
Data Science extracts value from your data and is an essential part of any enterprise AI strategy.
Case study
Winder.AI helped Duetto evaluate offline reinforcement learning for dynamic hotel pricing. Over five months, the engagement progressed from behavioural cloning baselines through Implicit Q-Learning experiments on real booking data, revealing where RL outperforms simpler approaches, what data quality prerequisites exist, and how to evaluate pricing agents when ground truth is unavailable.
Case study
Winder.AI helped Apartment List modernize its machine learning operations by unifying data pipelines, automating Kubeflow workflows, and introducing enterprise-grade governance. The outcome: consistent training and inference data, faster deployment cycles, and self-service capabilities that enabled Apartment List’s data science team to scale model delivery with confidence.
Case study
Using digital twin data to build flight traffic simulators and train reinforcement learning AI agents. A leading aerospace business and Winder.AI opened new horizons for dynamic, data-driven scheduling solutions that integrate with our client’s advanced flight planning technology.
The major benefit for us was winning TIME’s Best Invention of 2023! Without Winder.AI’s generative AI strategy this would not have been possible. It resulted in over 500k generations in its first two months.
AI
AI consulting pricing is opaque by design. Vendors quote ranges that span an order of magnitude. POCs get sold as “we will see what is possible” without a fixed scope. Production builds get scoped against a slide deck rather than a working pilot. This article fixes that.
Below are the 2026 ranges we use ourselves at Winder.AI, the ranges we see across the market when clients share competing quotes, and the rules of thumb for choosing fixed-fee versus time-and-materials. Although I use the phrase “it depends” a lot (because it really does!) my aim for this article is to have zero sales waffle.
AI
Adoption of legal services AI has gone mainstream. Litify’s 2025 State of AI in Legal Report found that 78% of legal professionals already use AI in some form, up from 23% in 2023. But what workflow should you automate first?
Getting this wrong means months of effort on a low-impact problem. Getting it right means a quick win that funds the next step. The difference between a successful AI initiative and a stalled pilot usually comes down to picking the right starting point.
AI
“AI contract review” is a popular keyword to compete for. Look, I’m doing it right now! A couple of years ago my colleagues and I half-built a contract review service prototype. We decided not to take it any further, but that was a mistake. It’s now very hot.
So hot you can easily find a wall of product pages. Sign up, upload your contracts, get results. The pitch is simple. For straightforward use cases, it works.
But what if your contracts don’t fit their templates? What if your review process has steps a product can’t model? What if your data can’t leave your infrastructure? What if your firm’s clause playbook differs from the vendor’s defaults?
This article walks through what a custom-built contract review pipeline actually involves.
This page provides answers to our most common questions. If you have a query that isn't covered, please get in touch.
Winder.AI is a dedicated AI agency. Unlike larger technical or IT consultancies, we have specialist knowledge and experience that you won’t get from a generic consultancy.
All of them. Our services are not domain specific.
Our AI focus allows us to work with businesses of all sizes. From startups to enterprises.
Get in touch by filling out our contact form or email us.
AI is used in business to automate processes, improve efficiency, and unlock new markets. It delivers automated decision-making to streamline operations or provide new products. Strategically, AI can be used to unlock new markets and opportunities. Creatively, AI can be used to generate content.
The first step is to develop an AI strategy. This will help you understand how AI can be used to deliver value to your business. Once you have a strategy, you can start to implement AI solutions. This can be done in-house or with the help of an AI agency like Winder.AI.
The main difference is the scale and complexity of the AI solutions. Enterprise AI is designed to be used by businesses to deliver value at scale, often focussing on efficiency. Whereas smaller businesses might use AI for competitive advantage or to unlock new markets.
Enterprise AI is the use of AI solutions by businesses to deliver value at scale. This can be through automation, efficiency savings. It tends to be more complex due to the scale and cross-cutting concerns of the business.
The team at Winder.AI are ready to collaborate with you on your AI project. We tailor our AI solutions to meet your unique needs, allowing you to focus on achieving your strategic objectives. Fill out the form below to get started.