AI
Areas of Potential Qualifying Activity
Qualifying R&D can arise throughout the design, development, testing and improvement of artificial intelligence models, systems and related technologies. Common areas of potential qualifying activity include:
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Development of new or substantially improved AI models, algorithms and machine-learning systems.
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Design and optimization of model architectures, training methods and data pipelines.
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Development and testing of computer vision, natural language processing and predictive systems.
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Integration of AI technologies with existing software, platforms and operational systems.
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Improvements to accuracy, scalability, efficiency, reliability and model performance.
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Testing and iterative development to resolve technical uncertainties in AI development.
R&D in AI
Artificial intelligence companies frequently invest in the development and improvement of models, algorithms, data pipelines and software systems to enhance accuracy, performance, scalability, automation and technical capability.
This work can involve significant technical challenges where existing models, architectures or development approaches cannot readily achieve the required level of reliability, efficiency, explainability, integration or predictive performance.
Where these challenges are addressed through systematic experimentation, testing and iterative development, the related artificial intelligence activity and associated expenditure may be eligible for the U.S. R&D Tax Credit.
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Understand
Our specialist technical team works directly with your staff to understand how innovation takes place across the business.
Identify
We examine the technical challenges encountered, the development work undertaken and the decisions made throughout your projects.
Quantify
We work with your team to connect those activities to the relevant costs.
Substantiate
We prepare clear, robust technical and financial documentation designed to support the Research and Development Tax Credit claim.
Our Role
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