B2B pricing optimization and sales enablement for manufacturers and distributors
Vendavo operates a pricing and commercial-excellence platform for mid-market and enterprise manufacturers and distributors. The stack reveals a mature, hybrid-cloud infrastructure approach (AWS + Azure + Terraform) with strong observability (Prometheus, Grafana, Graylog) and polyglot backend (Java, Python, C#, SQL/NoSQL databases). Active hiring skews senior and engineering-heavy, with half the team focused on infrastructure automation and cloud reliability—a pattern consistent with their project backlog (database scalability, disaster recovery, cloud cost optimization) and stated pain point around ensuring service reliability at scale.
Vendavo develops B2B pricing, margin-management, and sales-enablement software for global manufacturers and distributors. Founded in 1998 and based in Denver, the company combines proprietary pricing science with implementation services and process consulting. The product suite spans pricing analytics, CPQ, SAP integration, and commercial excellence workflows. Customers range from mid-market to Fortune 500 manufacturers and distributors, typically accessed through sales-led enterprise engagement. The company operates a blended model: SaaS delivery (cloud-hosted), on-premise deployments, and professional-services delivery, which explains the concurrent focus on scaling delivery capacity and post-go-live support infrastructure.
Both AWS and Azure, managed via Terraform infrastructure-as-code. Stack also includes SQL Server, Oracle, MySQL, PostgreSQL, and MongoDB for data layer flexibility across customer deployments.
Denver, Colorado. The company employs 201–500 people and was founded in 1998.
Vendavo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.