R&D Tax Credits For AI & Robotics Companies
Get the sector experience you need to make a successful R&D tax relief claim
QLC helps AI and robotics companies maximise their R&D claims with our streamlined portal and expert support, ensuring your innovation gets the funding it deserves.
Our AI and robotics sector experience
With extensive experience helping companies in AI and robotics claim R&D tax incentives, QLC understands the unique challenges and opportunities in this cutting-edge field.
Whether you’re developing intelligent algorithms, creating autonomous systems, or enhancing robotic functionality, we’ve helped businesses claim millions in R&D tax credits. Let QLC help you do the same.
Success stories
What Our Clients Say About Us
"I am really impressed with the efficiency of your work, and the results you got for our company. A very friendly, committed and obviously hardworking team. You made the whole process very easy."
Will Tompkins (Director)
Vintage and Classic Cars
"QLC successfully claimed credits for the past 2 financial years, this year was even better. They managed the application and claimed the R&D credit prior to our annual tax bill, making the whole process quicker, easier and more efficient than last year."
Andrew Forbes (Director)
Architecture
"A massive thanks to all your team, obviously with the current situation, this money couldn’t have come at a better time."
Ian Cooke (Director)
Engineering
"From our experience we have always found QLC to be efficient and thorough in their tax appraisals, carefully guiding us through the often complex process. They have a very approachable team, all of which have been able to offer excellent advice when needed."
Ben Reed (Director)
Architecture
"They are proactive and efficient in performing their service and I have been impressed by their dynamism."
Chris Wright (Director)
Motorsport Engineering
"Your company did exactly what you said it would do. It took far less time than the other company that we had used in the past. We are extremely pleased with the outcome."
Adrian Smith (Company Sec)
Manufacturing Firm
"I am really impressed with the efficiency of your work, and the results you got for our company. A very friendly, committed and obviously hardworking team. You made the whole process very easy."
Will Tompkins (Director)
Vintage and Classic Cars
"QLC successfully claimed credits for the past 2 financial years, this year was even better. They managed the application and claimed the R&D credit prior to our annual tax bill, making the whole process quicker, easier and more efficient than last year."
Andrew Forbes (Director)
Architecture
"A massive thanks to all your team, obviously with the current situation, this money couldn’t have come at a better time."
Ian Cooke (Director)
Engineering
"From our experience we have always found QLC to be efficient and thorough in their tax appraisals, carefully guiding us through the often complex process. They have a very approachable team, all of which have been able to offer excellent advice when needed."
Ben Reed (Director)
Architecture
"They are proactive and efficient in performing their service and I have been impressed by their dynamism."
Chris Wright (Director)
Motorsport Engineering
"Your company did exactly what you said it would do. It took far less time than the other company that we had used in the past. We are extremely pleased with the outcome."
Adrian Smith (Company Sec)
Manufacturing Firm
How much could you claim?
The average R&D tax claim for AI and robotics companies
For your own quick estimate, you can use our easy-to-use R&D tax calculator:
£ 60 k
Common R&D activities for AI and robotics companies
AI development
Machine learning
Designing and training machine learning models to improve decision-making, predictions, or automation.Algorithms
Developing algorithms for natural language processing (NLP), speech recognition, or image classification.Generative AI
Creating generative AI systems, such as those for image synthesis or text creation.Reinforcement learning
Experimenting with reinforcement learning to optimise decision-making in dynamic environments.Explainable AI
Building explainable AI systems to improve interpretability and transparency.
Robotics innovation
Navigation
Developing autonomous navigation systems for robots using LIDAR, SLAM, or other advanced techniques.Robot arms
Innovating robotic arms for precision tasks in manufacturing, healthcare, or agriculture.Cobots
Designing collaborative robots (cobots) for safe and effective human-machine interaction.Sensors
Experimenting with advanced sensors, such as tactile sensors or machine vision systems, to enhance robotic functionality.Extreme conditions
Creating robots capable of operating in extreme or hazardous environments, such as underwater or space exploration.
AI and robotics integration
Combining robotics with AI to enable autonomous decision-making and learning capabilities.
Developing systems for real-time data processing and adaptive responses in robotics.
Testing and optimising human-robot interaction (HRI) systems to improve usability and safety.
Process automation
Building robotic process automation (RPA) systems to streamline repetitive tasks in industries such as finance, healthcare, or logistics.
Integrating AI into robotic systems to reduce errors, improve efficiency, and enhance scalability.
Creating digital twins to simulate, test, and optimise robotic workflows.
Hardware and firmware development
Designing energy-efficient motors or actuators to improve robot performance.
Developing compact, high-performance hardware for embedded AI systems.
Creating firmware for controlling robotic components with greater precision and reliability.
Sustainability and green robotics
Innovating energy-efficient robotics systems to reduce environmental impact.
Developing AI-driven solutions for waste sorting, recycling, or renewable energy applications.
Creating sustainable manufacturing processes for robotics components.
Cross-disciplinary innovation
Other fields
Integrating AI and robotics into other fields, such as healthcare (robotic surgery), agriculture (precision farming), or transportation (autonomous vehicles).Academia
Collaborating with academic institutions to explore novel AI or robotics applications.Multi-functional robots
Testing multi-functional robots capable of performing diverse tasks across industries.Why choose QLC?
QLC and our portal help businesses like yours claim R&D tax credits and tax relief faster and more successfully than ever.
End-to-end service
Easy-to-use customer portal
Faster payouts than our competitors
See your money in 16 days
Flexible comms
All sectors and sizes
No minimum fee
Stakeholder transparency
AI and robotics sector R&D tax credit FAQ
What qualifies as R&D in AI and robotics?
Qualifying activities include developing new algorithms, integrating AI with robotics, creating autonomous systems, or improving existing technologies to solve technical uncertainties.
Can failed AI or robotics projects qualify for R&D tax credits?
Yes, failed projects still qualify if they involved efforts to resolve scientific or technological challenges, such as testing new AI models or iterating robotic designs.
Are hardware and firmware development costs eligible for R&D tax credits?
Yes, costs related to designing, prototyping, or testing new hardware and firmware for AI and robotics systems can qualify.
How do subcontractor costs work in AI and robotics R&D?
If your company works with subcontractors on R&D projects, their costs may qualify, though the claimable amount depends on the R&D tax relief scheme applicable to your company.
What costs can AI and robotics companies include in their R&D claims?
Eligible costs include staff wages, software licences, materials, utilities, and subcontractor fees directly related to R&D activities.
How far back can AI and robotics companies claim R&D tax credits?
You can claim R&D tax relief for up to two financial years after the end of the accounting period in which the R&D expenditure occurred.