AI-powered order automation for manufacturers and distributors
Conexiom automates purchase order processing for manufacturers and distributors using machine learning trained on 20 years of domain data. The tech stack spans .NET, Azure, Node.js, React, and Python—a hybrid cloud-native architecture that signals maturity in both backend automation and modern frontend delivery. Hiring is sales-led (4 open roles vs. 3 engineering) with heavy senior and director presence, paired with internal projects around CRM optimization, sales forecasting, and finops—suggesting a scaling GTM operation alongside platform modernization.
Notable leadership hires: Professional Services Director
Conexiom builds intelligent automation software that converts emailed and file-based purchase orders into ERP-ready transactions, eliminating manual data entry for inside sales teams. The platform captures, corrects, and transforms orders from any document format with high accuracy and speed; the company claims orders can flow up to 95% faster. Founded in 2005 and based in Vancouver, Conexiom serves mid-market and enterprise manufacturers and distributors across North America. The product roadmap includes expanded invoice and accounts payable automation, sales order analytics, and AI-driven features.
Conexiom's core stack includes .NET, Azure, Node.js, React, Next.js, Python, Java, and Kafka. The company uses GitHub Copilot and Cursor for development, Kubernetes for orchestration, and integrates OpenAI and Anthropic APIs for AI features.
Active projects include invoice automation, sales order analytics, CRM and sales tech stack optimization, sales forecasting methodology, enterprise business automation expansion, and finops cost-optimization. The company is also pursuing modernization across cloud and data infrastructure and retention initiatives.
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