Canadian Business Funding Scenarios
See how Canadian businesses across manufacturing, technology, agriculture, and professional services have identified and stacked federal, provincial, and sector-specific government funding programs to secure non-dilutive capital.

Important Trust & Compliance Notice
The scenarios displayed below model real program eligibility rules, standard stacking logic, and typical matching thresholds. Specific funding amounts are illustrative. Actual outcomes vary based on program availability, business profile, timing, and compliance documentation. FSI Digital is not affiliated with any government agency.
How an Ontario Precision Manufacturer Identified $120,000 in Stacked Incentives
A 22-employee precision machining shop in Mississauga, Ontario landed a tier-1 automotive contract but needed to install a 5-axis CNC machining centre ($280,000 capital outlay) and retrain 9 floor operators. With existing credit lines already drawn, they could not finance both the equipment and the training concurrently.
How a Vancouver SaaS Startup Used Mitacs & IRAP to Fund $75,000 in Engineering Salaries
A 9-person Vancouver SaaS startup building AI-powered workforce scheduling software needed to hire two intermediate machine learning engineers but was burning too fast to compete with enterprise salary offers. Standard bank financing required 2 years of revenue history they did not have.
How an Alberta Grain Farm Accessed $180,000 in Clean-Tech & Agri Innovation Funding
A family-owned 4,800-acre grain operation near Lethbridge, Alberta was spending over $90,000 annually on natural gas for conventional crop dryers. Rising input costs and federal carbon pricing were pressuring margins to unsustainable levels, requiring capital investment in electric high-efficiency dryers and precision monitoring sensors.
How a Montreal FinTech Startup Recovered $150,000 in SR&ED Tax Credits for Software R&D
A 14-person Montreal FinTech startup spent $320,000 over 18 months developing a proprietary transaction fraud detection algorithm using reinforcement learning. The founders were unaware that the majority of their core engineering salaries qualified as SR&ED-eligible expenditures, and filed their first two fiscal years without claiming any scientific research credits.
How an Ottawa Women-Owned Consulting Firm Accessed $60,000 in WES & BDC Financing
A women-owned 7-person management consulting firm in Ottawa, specializing in federal procurement advisory, had grown revenue 38% year-over-year but was repeatedly declined for traditional bank credit lines due to having no physical asset collateral. They needed $55,000 to hire a senior proposal writer and implement a CRM platform to compete for larger government contracts.
