Hiya operates a voice intelligence platform protecting 500M+ users against spam and fraud while enabling enterprises to reclaim trust in phone calls through branded caller ID. The stack (Scala, Kafka, Kubernetes, Spark, DynamoDB, Redshift) reflects a data-intensive, real-time signal-processing architecture; the hiring surge across engineering and sales with senior-level roles indicates scaling both product depth (AI-powered detection systems) and go-to-market velocity, while active projects span phone-call processing pipelines and multi-year strategic customer initiatives.
Hiya provides a Voice Intelligence Platform serving three customer segments: enterprises using Branded Call to display company identity and reduce customer skepticism, carriers and OEMs integrating spam/fraud protection into their networks, and indirect users (500M+ consumers) protected by the platform's detection layer. Founded in 2016 and headquartered in Seattle, the 51–200-person company operates across the United States, United Kingdom, Hungary, Germany, and France. Core offerings address two persistent problems: AI-generated spam increasingly eroding telecom trust, and missed legitimate conversations due to overly aggressive call-blocking. The product ingests and processes call signals in real-time, applies machine-learning-based detection, and surfaces branded call metadata to end users.
Hiya's core stack includes Scala and Node.js for services, Kafka and Apache Spark for event streaming and batch processing, Kubernetes for orchestration, PostgreSQL and DynamoDB for storage, and Redshift for analytics. Frontend is React/Next.js/TypeScript. Infrastructure runs on AWS.
Hiya is headquartered in Seattle, Washington. The company hires across the United States, United Kingdom, Germany, France, and Hungary.
Hiya Inc.'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.