Cyara operates a multi-channel CX assurance platform focused on testing and monitoring voice, digital, messaging, and AI systems. The tech stack reveals a mature, security-conscious infrastructure: Kubernetes, Terraform, and GitOps on AWS; message queues (Kafka, RabbitMQ) and data pipelines (Airbyte); plus six different AWS security tools (Wiz, GuardDuels, WAF, KMS, etc.). Projects underscore an accelerating pivot toward AI: agentic workflows, conversational AI systems, and AI-driven testing capabilities sit alongside traditional GTM scaling and data infrastructure work. The hiring surge (18 roles in 30 days) skews heavily senior engineering and support, signaling both product complexity and a shift toward higher-touch implementation and assurance services.
Cyara is a CX assurance platform headquartered in Austin, Texas, serving hundreds of large enterprises. The product spans testing and continuous monitoring across voice IVRs, contact center channels (integrated with Genesys Cloud, Amazon Connect, NICE inContact), digital touchpoints, messaging, and conversational AI systems. The company processes over 350 million customer journeys annually. Current operational focus includes SaaS implementation, CRM and CPQ rollouts, and building an internal data ingestion platform on Airbyte. The engineering organization is actively developing AI-driven testing capabilities to handle autonomous agent evaluation—a capability gap in traditional QA tooling.
Cyara integrates with Genesys Cloud, Amazon Connect, and NICE inContact. The platform also supports testing and monitoring across voice, digital, messaging, and conversational AI channels.
Cyara runs on AWS with Kubernetes, PostgreSQL, and Terraform for infrastructure. The backend uses C#/.NET and Python. Data pipelines leverage Kafka, RabbitMQ, and Airbyte. Security tooling includes Wiz, AWS GuardDuty, AWS WAF, and AWS KMS.
Cyara'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.