Zero Draft AI uses a combination of artificial intelligence and expert review to automatically identify and apply for grants and tax credits that Canadian businesses qualify for, such as R&D incentives.
Funding
Funding not disclosed
Founders
Product
Problem
Canadian businesses developing new products, software, or intellectual property often miss out on available government grants and tax credits because identifying eligible programs and preparing complex applications require specialized knowledge and significant time investment.
Solution
Zero Draft AI automates the discovery and application process for Canadian R&D incentives, tax credits, and other non‑dilutive funding programs. The platform uses AI to scan a company’s profile and instantly match it to every qualifying grant, then generates complete claim packages within ten business days. Expert reviewers verify the AI output to ensure accuracy, compliance with legal and data‑security requirements, and a high likelihood of approval. Clients pay only when a claim is successful, eliminating upfront risk and reducing the cost compared to traditional consulting services. The end‑to‑end workflow minimizes the effort required from the business, allowing technical teams to stay focused on product development.
Target Audience
Primary customers are incorporated Canadian companies with salaried technical staff that are engaged in product, software, or IP development and seek non‑dilutive funding without dedicating internal resources to grant applications.
Features
- AI-driven eligibility engine that cross‑references a company’s technical staff, product roadmap, and tax filings against all Canadian grant and tax‑credit programs
- Automated generation of required forms, supporting documentation, and interview scripts
- Expert review layer that validates AI results for regulatory compliance and data security before submission
- Turnaround time of approximately 10 business days from data upload to claim completion
- Pay‑only‑when‑successful pricing model that aligns fees with actual funding received