Software & Data Engineering
Within Software, a broad range of activities may qualify for R&D Tax Relief where competent professionals are seeking a technological advance and the solution is not readily deducible. This can include developing or materially improving software where challenges sit in architecture, scalability, reliability, security, data integrity, performance, or automation, rather than routine feature delivery. It may also include building integration-heavy platforms (e.g., connecting multiple enterprise systems), engineering robust data pipelines and synchronisation methods, creating resilient workflow and governance logic, or embedding AI-assisted functionality in a controlled way where standard tools, connectors, or out-of-the-box configurations don’t deliver dependable real-world operation.
How our skillset can help you claim
Software change is often easy to describe at a feature level, but R&D claims need the engineering advance and the development route set out clearly. Our team works with your developers and technical leads to define the advance being pursued, set the baseline against what existing platforms or typical implementations can do, and use build/test outputs and operational evidence (logs, validation results, UAT findings, performance metrics) to show how the solution was refined through iteration. We also help separate qualifying development from routine configuration, content changes, or standard delivery, and support a practical, defensible approach to cost capture so the claim is defensible and robust.
Project Examples
A technological advance could be creating an integration layer that keeps data consistent across multiple systems when standard connectors are unreliable or don’t preserve the required detail. Success is shown through repeatable transfer capabilities, controlled failure handling, and validation that key records remain complete and traceable end-to-end.
Some projects focus on making automated processes dependable in production, where silent failures or edge cases can pass unnoticed and undermine outcomes. The advance lies in engineering detection, logging, alerting and recovery capabilities that proves the system remains trustworthy under real operating conditions.
Work may involve turning a generic platform into a coherent operational backbone that supports non-standard ownership, approvals, routing and governance without becoming brittle. The advance is demonstrated by stable, maintainable technological processes that behave consistently across departments and scale without constant manual workarounds.
