Research Services

World-class consultancy and R&D services tailored to your requirements and budget.

Business-focused value-driven R&D

Research projects are notoriously difficult to manage. Our experience in this area allows us to de-risk projects, delivering reliable work on time and to your specification.

Often it pays to do exploratory development — small-scale pilot studies to find out the best solution and how well it will work. These studies de-risk subsequent work, and provide valuable insights. We will recommend pilot studies where appropriate and the costs of such a study are discounted from any subsequent development work.

Areas of Expertise

We will work with you to identify the techniques and technologies best suited to a problem. We have particular expertise in data analysis and data-mining. Technologies we use include:

  • Data-mining: Find the value hidden in your data
  • Optimisation
  • Planning
  • Logistics
  • Forecasting and predictive analytics
  • Machine learning: Computer systems that learn from examples. E.g. neural nets and genetic algorithms. Machine learning can be tricky to use effectively. We have worked with a wide range of techniques, and will recommend which to use and how to apply it.
  • Statistical reasoning, including sophisticated techniques such as data fusion and combining human intuition with statistics
  • Mathematical modelling: Through simulating complex systems, Winterwell can help you manage risk and reduce uncertainty.
  • Natural Language Processing (NLP): Computer systems that partially understand English and other human languages
  • Logical modelling: Rule based systems for business processes

Always on time. Always on budget.

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Example: Intelligent Software

Problem: A financial software company wanted to enhance their flagship product. They knew what new features they would like to offer, but not how to achieve them.

Solution: A pilot study identified the best approach and helped secure funding. Collaborative work then produced a production-ready system.

Benefits: Bringing cutting-edge Artificial Intelligence into the product gave it a clear technological lead in a competitive market.

Related problems: Automation, machine learning, smart interfaces.