AI-powered omnichannel customer service platform for distributed teams
Hiver operates a full-stack customer service platform with React + Next.js frontend, Go + Java + Python backend, and Kafka-driven event streaming. The tech stack and active projects reveal a company mid-migration toward event-driven microservices—adopting Logstash and Kibana while scaling backend systems and email throughput. Engineering-heavy hiring (7 of 12 open roles) plus a dedicated AI role signal investment in automation and ML inference (vLLM, Triton, pgvector, Pinecone in stack) rather than pure customer acquisition.
Hiver is a customer service platform that consolidates email, chat, and other communication channels into a single interface, powered by AI-assisted workflows and real-time team collaboration. The product targets fast-moving teams across mid-market and enterprise segments. The company operates globally with hiring in the United States and India. Founded in 2011 and headquartered in San Jose, Hiver maintains a lean 51–200-person team while supporting tens of thousands of customer organizations. Core challenges include managing email-scale traffic, backend performance and reliability, and infrastructure costs as the customer base grows.
Frontend: React, Next.js, TypeScript, Tailwind CSS. Backend: Go, Java, Python. Data/streaming: Kafka, RabbitMQ, Elasticsearch, DocumentDB, pgvector, Pinecone. Infra: AWS, Kubernetes, EKS, Terraform. Observability: Datadog, CloudWatch, Grafana.
Hiver is actively recruiting in the United States and India.
Hiver'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.