MLOps, Reinforcement Learning, Data Science, Cloud-Native: Production-Grade AI Platforms and Applications

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The World's Best AI Companies

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

Professional Services

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

Reinforcement Learning

Reinforcement learning (RL) is a new machine learning technique that helps businesses optimise processes involving sequential decisions. Classic examples include optimal bidding, improved recommendations, and complex robotic control.

We wrote the book on the subject, published by O’Reilly. RL algorithms are designed to suit a particular application, so get in touch if you’d like to learn how we can leverage RL in your business.

In the meantime, check out the link below to learn more about how leaders can find RL problems and plan RL projects in a free chapter from the book.

Learn more about RL

MLOps

Machine learning operations (MLOps) is an emerging field that encompasses machine learning tooling, best practices, and processes.

We’ve helped some of the world’s largest businesses build and operate their artificial intelligence (AI) platforms that make MLOps a priority.

This public video from Microsoft demonstrates some of our work with Shell.

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AI Product Development

We know that building robust, intelligent products are hard. But we’ve successfully built AI products for cutting-edge technology companies like Grafana labs, Modzy, Pachyderm, and Focus Sensors.

We can help you develop the AI features that you know you need. We have the production-grade experience that will result in reliable, robust products.

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AI Governance and Consultancy

Building AI into your organisation brings new challenges. We’ve helped businesses like Neste to implement robust AI governance, through a series of consultations to deliver valuable insights and processes.

We can help you develop your AI business and product strategy, leaning on our years of experience and deep network of associates.

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Selected Case Studies

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

Improving Data Science Strategy at Neste

Winder Research helped Neste develop their data science strategy to nudge their data scientists to produce more secure, more robust, production ready products. The results of this work were: A unified company-wide data science strategy Simplified product development - “just follow the process” More robust, more secure products Decreased to-market time Our Client Neste is an energy company that focuses on renewables. The efficiency and optimization savings that machine learning, artificial intelligent and data science can provide play a key role in their strategy.

Building an Enterprise NLP Platform

Winder Research has built a state of the art natural language processing (NLP) platform for a large oil and gas enterprise. This work leveraged a range of cloud-native technologies and sophisticated deep learning-based (DL) machine learning (ML) techniques to deliver a range of applications. Key successes are: New NLP workflows developed in hours, not weeks. Hugely scalable, from zero to minimise cost to tens of thousands of concurrent connections. Enforced corporate governance and unification, without burdening the developer.

Google Releases AI Platform with help from Winder Research

At their Cloud’s Next 19 conference, Google has announced the launch of an expanded AI platform. For a number of years Google has been expanding it’s portfolio to compete with AI products from Azure and AWS. But this is the first time that the platform can be considered “end-to-end”.