Award-winning Enterprise AI Agency delivering AI for Business.
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.
Scale Your Business
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.
Unlock New Markets
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.
Improve Efficiency
Reduce friction by automating away inefficiency. Remove decision-making bottlenecks and reduce customer burden. AI in business helps you deliver more with less.
The World's Best AI Companies Trust Winder.AI
We've worked with hundreds of amazing people, all over the world.
AI Services - AI Solutions to Deliver Your AI Strategy
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.
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.
How Winder.AI Helped Duetto Evaluate Reinforcement Learning for Hotel Pricing
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.
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How Winder.AI Helped Apartment List Eliminate Data Drift and Scale MLOps Automation
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.
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AI in Aviation Case Study: Flight Scheduling Using Digital Twins and Reinforcement Learning
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.
Top AI Agent Development Companies in 2026: Who Has Actually Shipped One
The right AI agent development company depends on which tier your problem sits in. For a bespoke agent that has to survive production and be trusted near a system of record, the engineering-led specialists: Winder.AI and Neurons Lab. For capacity on a long programme, the large offshore benches: LeewayHertz, Appinventiv and N-iX. For a configurable product instead of a commissioned build, the platform vendors, which since December 2025 means ServiceNow, because it bought Moveworks. And for a multi-year transformation where agents are one workstream of twenty, Accenture and Deloitte.
We are Winder.AI, so we sell against most of the firms below. We appear in the specialist tier, and this comparison is ours.
Every firm here sells agent development. The question that sorts them is narrower. Can they name a client, name the agent they put into production for that client, and quote a number that agent moved? I went looking on 14 August 2026. Of the eight firms in the table below, one answers it in full and one answers it halfway. Being the firm that passes is less flattering than it sounds, because the bar is a single number on a single case study.
Buyers building this shortlist are afraid of one thing: spending six months and a budget on something that demos beautifully and then cannot be trusted near a system of record. That fear has numbers behind it. In a survey of 1,340 practitioners run between 18 November and 2 December 2025 by LangChain, whose own users it over-samples, 57.3% had agents in production, quality was the top barrier for everyone else at 32%, and only 37.3% of respondents ran any online evaluation at all (LangChain).
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Best AI Consultancy 2026: Who Is Still Independent
The right AI consultancy depends on what is broken. For an enterprise-wide programme that needs board cover, that means Accenture, which now owns Faculty, or McKinsey’s QuantumBlack, or BCG X. For anything data-centric that has to reach production, it means the specialist tier: Winder.AI for production machine learning of any vintage, from forecasting and anomaly detection through to reinforcement learning and LLM engineering, Datatonic for organisations that want a Google-first partner, Cambridge Consultants where the AI has to live inside hardware. For a large software rebuild with AI threaded through it, Thoughtworks. For a programme that needs hundreds of people for years, Tiger Analytics and Fractal Analytics.
We are Winder.AI, so we sell against several of the firms below. We appear in the specialist tier, not at the top.
The reason to read a 2026 comparison rather than a 2024 one is ownership. Seven firms a shortlist would have called independent two years ago now answer to somebody else, and Faculty is only the largest. Most lists in this category have not caught up, which is why the table below carries a column none of them do.
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Top MLOps Consulting Companies in 2026, Compared
Here is the short answer for anyone shortlisting MLOps consulting companies in 2026. The credible specialists are Winder.AI, an engineering-led firm with published pricing and named, client-scored case studies; phData, the only other consultancy we found anywhere that publishes its prices; Data Reply, which holds the best-evidenced single MLOps engagement in this comparison; Datatonic, the strongest pure Google Cloud option; and Quantiphi and Tiger Analytics, the two specialists that appear in the one neutral analyst evaluation of this category. Accenture, McKinsey and Deloitte fit multi-year programmes where MLOps is one workstream among many.
One disclosure before the table: I run Winder.AI, and this list ranks my firm first. Every other “top MLOps companies” list you’ll find was also written by a vendor. They just don’t say so. What I offer instead of neutrality is evidence: named clients, client-stated numbers, published prices, and a five-question method you can run against every firm here, including mine.
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.
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.
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.
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