VIER operates a contact-center platform combining voice, chat, and AI agents across customer service and sales workflows. The stack reveals a modern AI-first architecture—Dify, Langfuse, Haystack, DSPy for LLM orchestration, plus Qdrant for vector search—paired with enterprise ITSM integration (ServiceNow, Salesforce, Dynamics 365). Active migration from Nomad to Kubernetes signals infrastructure consolidation toward cloud-native deployment, while the hiring surge in engineering (5 open roles) and a focus on scaling AI services and conversational AI indicate the company is shifting from traditional ACD/voicebot capabilities toward generative AI-driven agent assistance.
VIER builds a cloud-native contact-center platform for mid-market enterprises across service, sales, and back-office workflows. The product combines traditional call-routing and agent-assist tooling with newer AI-powered conversational capabilities, integrated via APIs and plugins into existing ITSM and CRM systems (ServiceNow, Salesforce, Dynamics 365, Zendesk). The company operates in-house from Hannover, Germany, with a focus on data residency and compliance-first design. Current operations span continuous integration of third-party connectors, customer solution deployments, and internal infrastructure migration to Kubernetes.
ServiceNow, Salesforce, Dynamics 365, Zendesk for CRM/ITSM; Kubernetes, Docker, PostgreSQL, Redis for infrastructure; Dify, Langfuse, Haystack, DSPy, Qdrant for AI and vector search; React, JavaScript, GraphQL for frontend.
Next-generation conversational AI platform, migration from Nomad to Kubernetes, ServiceNow integration optimization, Kubernetes-ready service enablement, and monitoring/observability standards.
VIER'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.