Does My Software Development Qualify for SR&ED? A CTO’s Guide
For many Canadian technology companies, the Scientific Research and Experimental Development (SR&ED) program is the largest source of non-dilutive funding available. Yet one of the most common questions founders and technical leaders ask is:
“Does our software development work qualify for SR&ED?”
The answer depends less on the product you are building and more on the technological challenges your engineering team had to overcome while building it.
Many software teams assume their work is “just development,” when in fact it involves significant experimental engineering. At the same time, some companies assume that building a new product automatically qualifies, which is not how the program works.
This guide explains how the Canada Revenue Agency evaluates software SR&ED eligibility, how to determine whether your project qualifies, and the common misconceptions that lead companies to either miss legitimate claims or submit weak ones.
Understanding the Purpose of SR&ED
The SR&ED program exists to support work that advances technological knowledge through systematic experimentation.
The program does not reward commercial innovation. Instead, it supports technical work where engineers must resolve technological uncertainties that cannot be solved using existing knowledge or standard engineering practices.
For software companies, this frequently occurs when teams push beyond known limits in areas such as:
system architecture
algorithm design
distributed systems
large-scale data processing
performance optimization
The focus of SR&ED is therefore not what product you built, but how the technical problems were solved.
The Three Core Tests for SR&ED Eligibility
The CRA evaluates SR&ED eligibility using three primary criteria.
1. Technological Uncertainty
A project must involve technological uncertainty.
This occurs when it is unclear whether a technical objective can be achieved using existing engineering knowledge.
Examples in software development include situations where teams must determine:
whether a system architecture can support required scale or performance
how to maintain consistency in distributed systems under high concurrency
whether an algorithm can meet performance or accuracy requirements
how to combine technologies that have not previously been integrated at scale
Technological uncertainty is not the same as product uncertainty.
Questions such as:
Will customers like this feature?
Will the product scale commercially?
Can we finish the product on time?
do not qualify as technological uncertainty.
SR&ED only considers uncertainty in the underlying technology.
2. Systematic Investigation or Experimentation
Once technological uncertainty exists, the next requirement is that the team conducted a systematic investigation to resolve it.
This typically involves iterative engineering cycles where teams:
Form a hypothesis about a potential solution
Implement a prototype or architectural approach
Test performance or system behaviour
Analyze results
Iterate on the design
In software development this may appear as:
prototype architectures
algorithm experimentation
performance benchmarking
infrastructure experiments
concurrency testing
Projects involving multiple failed approaches or redesigns often provide strong evidence that experimental development occurred.
3. Technological Advancement
The final requirement is that the work contributes to technological advancement.
This does not mean the innovation must be globally novel or publishable.
Instead, the work must produce new technological knowledge that was not previously available to the development team and could not be easily deduced using standard engineering practices.
For software companies, this knowledge may include:
architectural approaches required to support large-scale workloads
algorithmic techniques to meet performance targets
new approaches to managing distributed system state
engineering patterns required for large asynchronous workflows
The advancement lies in the technical knowledge gained during experimentation, not the product itself.
Examples of Software Work That Often Qualifies
Many types of software development can qualify when genuine technological uncertainty exists.
Examples frequently seen in eligible projects include:
designing high-concurrency scheduling or reservation systems
building distributed systems with strict consistency guarantees
developing machine learning models with uncertain behaviour
optimizing large-scale data processing pipelines
designing algorithms for search, optimization, or prediction
achieving performance targets beyond known architectural limits
These types of projects typically require teams to experiment with multiple architectures, algorithms, or infrastructure designs before reaching a viable solution.
Software Work That Usually Does Not Qualify
Certain activities rarely qualify because they rely primarily on existing engineering practices.
Examples include:
building standard web applications using common frameworks
implementing dashboards or CRUD applications
integrating third-party APIs using documented methods
porting software to new environments without technical challenges
implementing typical cloud infrastructure patterns
These tasks may require strong engineering skill but typically involve applying existing knowledge rather than generating new technological understanding.
Why Many Software Companies Miss SR&ED
One of the most common issues we see when reviewing claims is that engineering teams underestimate how experimental their work actually was.
Developers rarely document:
architectural experiments
algorithm performance testing
failed design approaches
insights gained during iterations
Because of this, legitimate SR&ED activities may be overlooked or poorly represented in claims.
Why Many SR&ED Claims Fail CRA Review
Conversely, some claims fail because they describe product development instead of experimental development.
Common weaknesses include:
describing features rather than technological uncertainties
failing to explain why existing solutions were insufficient
presenting only the final architecture
providing little evidence of experimentation
Strong claims clearly demonstrate how uncertainty was investigated and resolved through experimentation.
A Practical Test for Software Teams
A useful way to evaluate SR&ED eligibility is to ask:
During development, did your engineering team encounter technical problems where the solution was unknown and had to be determined through experimentation?
If yes, there is a strong possibility that SR&ED-eligible work occurred.
If the work primarily involved implementing known solutions using standard frameworks and tools, it is less likely to qualify.
Final Thoughts
Software innovation often involves far more experimental engineering than companies realize.
When engineering teams push the limits of architecture, algorithms, or performance, they are often conducting exactly the type of work the SR&ED program was designed to support.
Understanding the difference between routine development and experimental development is the first step in determining whether your work qualifies.
Not Sure If Your Software Work Qualifies?
Many companies underestimate their SR&ED eligibility because experimental development is often embedded in day-to-day engineering work.
At Elevyn Consulting, we specialize in helping software companies identify and document the experimental engineering behind their R&D projects.
If you’d like a quick expert assessment:
Book a SR&ED eligibility review
We’ll help you determine:
whether your projects likely qualify
what technical work could be eligible
how to structure documentation to withstand CRA review
