XTEL is a SaaS platform serving CPG enterprises on trade promotion management, retail execution, and revenue growth optimization. The tech stack emphasizes Python, PyTorch, and pandas for data work, paired with Azure infrastructure and Langchain/MCP adoption — signaling active investment in LLM-powered analytics and agent frameworks. Active projects around generative AI module development and LLM agent optimization align with their stated partnership with Microsoft on AI agentic capabilities, while hiring velocity is accelerating across sales (largest cohort) and engineering, suggesting aggressive go-to-market expansion alongside product deepening.
XTEL delivers a cloud-native revenue management platform designed for CPG and FMCG enterprises. The product spans trade promotion management, retail execution, assortment planning, and AI-driven analytics, enabling customers to optimize pricing and promotional strategy at scale. Founded in 2015 and headquartered in Leuven, Belgium, the company operates across multiple geographies with engineering, data, and sales teams distributed across Belgium, US, Italy, Bulgaria, Japan, France, Poland, and Germany. The platform addresses a multi-billion-dollar market segment and processes significant annual trade spend volumes for large global brands.
XTEL's stack centers on Python, PyTorch, and pandas for analytics, with Azure cloud infrastructure, Langchain and MCP for LLM integration, and Tableau/Power BI for visualization. They use Apache Spark for distributed processing and standard DevSecOps tooling (CI/CD, SAST, DAST, IAST).
Active projects include generative AI module API development, LLM-powered agent optimization, go-to-market strategy for new products, sales transformation, third-party risk management, and vulnerability management program improvements.
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