AI proctoring and interviewing platform for high-stakes talent and certification decisions
Talview operates a trust infrastructure layer for exams, certifications, and hiring—powered by agentic AI (Alvy for proctoring, Ivy for interviews) that runs at scale across 120+ countries. The tech stack reveals a distributed, event-driven architecture: Node.js + PostgreSQL + Kafka + Temporal + Prometheus, built for async job orchestration and real-time observability. Engineering dominance in hiring (8 of 10 active roles) paired with active work on a design system and multi-region deployments signals a company scaling infrastructure and UX in parallel—moving from single-region operations toward global delivery.
Talview provides AI-powered proctoring and interviewing solutions for certification bodies, test publishers, and enterprises managing high-stakes assessments. The platform has assessed over 10 million candidates globally. The core offering combines two agentic AI systems: Alvy, an AI proctor that delivers continuous exam integrity with human escalation, and Ivy, an AI interviewer that conducts structured interviews with embedded trust controls. The company operates from San Mateo and was founded in 2017. Internal pain points center on delivery complexity—global multi-region projects, managing deployment risk, and web performance—suggesting rapid scaling beyond initial single-market deployments.
Node.js, PostgreSQL, Redis, Kafka, RabbitMQ, Temporal, Kubernetes, React, TypeScript, Python, GraphQL, AWS, Azure, and GCP. Heavy use of Temporal and Kafka indicates event-driven, async-first architecture for scale.
San Mateo, California. The company was founded in 2017 and is privately held with 201–500 employees.
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