Leveraging R&D Tax Credits in AI and Data Science: From Basics to Patent Box

ai rnd tax credits

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Course Description

This short course is designed to help professionals and businesses understand how to leverage the UK’s R&D Tax Credit scheme—especially those working in artificial intelligence (AI) and data science. Over three concise lectures, participants will learn what qualifies as R&D, how to structure their documentation, and ways to maximize financial benefits. The course also covers funding options, the patent application process, and how these relate to the broader innovation ecosystem in the UK.

By the end of the course, attendees will:

  1. Have a clear understanding of R&D tax credits, their purpose, and how they can benefit businesses.
  2. Know how to identify qualifying R&D activities in AI and data science projects.
  3. Understand additional financial incentives such as the Patent Box and fundraising options, and how these complement an R&D claim.

Target Audience

  • Startups and SMEs involved in AI and data science.
  • Technical leads and innovators seeking to fund R&D work.
  • Business professionals and entrepreneurs exploring R&D tax relief.
  • Anyone interested in learning about the UK’s innovation incentives.

About the instructors

Profile photo of Phil Hexley, PhD

Gary and Phil Hexley are two industry experts at www.RD-TCC.com who have been in the industry since the launch of the scheme to provide all the ins and outs of the opportunities and how to navigate and comply with the now stricter HMRC enforcement regime without the hassle.

Course Content

Lecture 1: Introduction to R&D Tax Credits
Lecture 2: Qualifying R&D in AI and Data Science
Lecture 3: Additional Incentives, Patent Box, and Funding Strategies