Montreal's Axya Secures $12M Series A for AI-Powered Procurement Tech

Montreal-based procurement platform Axya has closed a C$17 million (approximately $12 million) Series A round, the company announced Thursday.

The capital will support platform enhancements, AI capability development, market expansion, and team growth as the startup scales its manufacturing-focused solution.

Félix Bélisle-Dockrill launched Axya after spending years in supplier quality roles at two major aerospace manufacturers. His frontline experience revealed persistent challenges in evaluating and managing supplier relationships.

Despite major investments in digital transformation, procurement remains one of the most fragmented functions within manufacturing organizations. Axya's platform connects the data, suppliers and workflows that drive purchasing decisions, enabling manufacturers to reduce manual effort, improve supplier responsiveness and build more resilient supply chains.

The founder saw an opportunity to improve knowledge sharing and information flow across supply networks — a gap that became the foundation for Axya's approach.

Axya targets complex manufacturers seeking more predictable, cost-effective, and resilient supply chains through a combination of ERP integrations and AI-powered workflows designed to augment existing procurement teams.

The platform connects with major enterprise systems including Infor, Epicor, Oracle, SAP, Microsoft Dynamics, and Sage, linking supplier networks directly to ERP data.

The company focuses on three verticals: aerospace and defense, custom machinery and vehicles, and natural resources and processing.

Rather than replacing procurement professionals, Axya's system maintains human oversight while automating repetitive tasks. The AI handles data normalisation, early risk identification, and savings opportunity detection.

This design keeps procurement teams in control of strategic decisions while freeing them from time-consuming manual work, allowing focus on high-value actions and negotiations.

Research firm IDC projects that by 2029, 45% of the world's 2,000 largest companies will deploy agentic AI-driven supply chain orchestration, potentially driving 20% revenue growth and 30% improvements in partner and customer satisfaction.

However, scaling AI agents depends fundamentally on clean, governed, and interoperable data infrastructure. As IDC notes, data readiness isn't a preliminary step — it's the essential foundation for everything that follows.