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.
How We Help Our Services Our Work FAQ Get Started Est. 2013
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
Leveraging predictive analytics and a stand-to-runway modelling approach, Winder.AI and our aviation client improved taxi time predictions to reduced ground delays and improve fuel efficiency.
Case study
Legal AI assistant improves legal coding efficiency by automating data analysis, reducing workload, and accelerating research.
Case study
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.
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.
Talk
Building LLM-powered applications is challenging. But the most important challenge is when products are not useful to their users. This presentation is about the different ways you can gather feedback to improve LLM applications. I’ll review the state of the art, offer some practical tips, and share some examples.
Generative AI
The article examines the challenges of moving GenAI from prototypes to production. It highlights issues such as resource constraints, performance monitoring, cost management, and security, and suggests strategies for efficient scaling, robust guardrails, and continuous monitoring to ensure sustainable enterprise-grade deployments.
AI
Enterprise AI Assistants unify disparate data sources, providing real-time insights and access control. Building domain-specific assistants and orchestrating them (hierarchical or federated) offers scalability, specialized features, and better performance than single-vendor solutions. Ultimately, organizations need a tailored approach that consolidates knowledge, fosters collaboration, and addresses evolving AI integration challenges.
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 use another method.
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.