
Examples of SR&ED-eligible projects
Realistic examples of projects that can qualify for the Canadian SR&ED Program. The key requirement - the work must attempt to resolve technological uncertainty through systematic experimentation.
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SR&ED Eligibility
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Narrative Development
Financial Analysis
Audit &Review Support
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Beyond SR&ED
1. Cybersecurity Software Startup (Halifax)
A small cybersecurity startup in Halifax was building new security software to detect cyber threats.
Technical challenge
The team needed to design new methods to identify unknown attack patterns.
Existing detection systems produced too many false positives.
SR&ED work
Experimenting with detection algorithms
Testing multiple architectures for threat analysis
Iterating on anomaly-detection models
Result
The company recovered over 40% of its R&D costs through SR&ED tax credits.
The funding helped them finish the core product and attract venture capital.
2. AI Predictive Analytics Startup (Ottawa)
An artificial intelligence startup developing machine-learning software for predictive analytics faced heavy R&D costs.
Technical uncertainty
Determining whether their algorithm could reliably predict complex business outcomes.
SR&ED activities
Data modeling experiments
Algorithm optimization
Large-scale testing and iteration
Result
SR&ED allowed the company to recover over 40% of R&D expenses, including developer salaries and prototype testing.
The company reinvested the credits into engineering hires and scaling its platform.
3. Cybersecurity & Data Transmission Company (Winnipeg)
A software consulting and development company that develops software for cybersecurity and high-speed data transmission.
Technical problem
Improving secure data transmission speeds without compromising encryption.
SR&ED work
Developing new encryption approaches
Experimenting with data transfer protocols
Performance testing across networks
Outcome
SR&ED funding enabled the company to hire more engineers and expand R&D operations, strengthening Canada’s innovation ecosystem.
4. Imaging & Data Analytics Startup (Calgary)
A data and technology company specializing in advanced imaging analytics.
Technical challenge
Creating new imaging methods for industries like energy, medical, and defense.
SR&ED experimentation
Developing software algorithms to analyze imaging data
Testing different modeling techniques
Integrating geophysical and environmental data
Results
SR&ED funding allowed Turkana to expand software development and create technologies that reduce environmental impact and improve industrial monitoring.
5. Clean-Energy Startup (Burnaby)
A Canadian clean-tech startup developing hydrogen energy storage systems.
Technological uncertainty
How to safely store and deliver hydrogen energy at scale.
SR&ED work
Testing new hydrogen storage materials
Experimenting with fuel-cell integration
Building prototypes for transport and industrial applications
Impact
The company advanced clean-energy technologies capable of powering vehicles, drones, buildings, and industrial equipment.
Key Takeaways for Startups
Across these examples, SR&ED typically funded:
Algorithm development
Experimental software architecture
Prototype testing and iteration
Data analysis and modeling
Most startups recover 30–40% of eligible R&D costs, which can include:
Developer salaries
Cloud computing used in experiments
Materials or prototypes
Contractor R&D work
Important insight:
Even failed experiments qualify under SR&ED if they attempt to resolve a technological uncertainty through systematic experimentation.
Examples That Usually Do NOT Qualify
Even if the project is technical, these typically don’t meet SR&ED criteria:
Routine software development
Building standard web or mobile apps
Migrating to a new programming language
Implementing existing frameworks
UI/UX improvements
Bug fixing and maintenance
Real-Time 3D Rendering Optimization
