AI-powered identity verification and onboarding for fintech and financial services
HyperVerge operates a computer-vision and deep-learning platform for identity verification, KYC, and fraud detection across fintech, BFSI, insurance, and lending. The stack reveals infrastructure maturity (Terraform, CloudFormation, Kubernetes, multi-cloud AWS/Azure/GCP) paired with active pain around zero-downtime releases and cloud scaling — a sign of a product moving from startup reliability toward enterprise-grade deployments. Hiring velocity is accelerating, with support and marketing roles dominating recent posts, indicating customer acquisition and retention are now as critical as engineering.
HyperVerge builds digital onboarding and identity verification solutions for enterprises in fintech, BFSI, insurance, lending, and logistics. The core platform, HyperVerge ONE, uses computer vision, OCR, biometric face-matching, and passive liveness detection to onboard customers and authenticate identities at scale. The company operates offices across India (Bangalore, Mumbai, Coimbatore), Vietnam (Ho Chi Minh City), Singapore, and the U.S. (Palo Alto). Beyond the core product, HyperVerge Academy provides free AI and tech training to underserved students. Current focus areas include infrastructure scaling, CI/CD optimization, zero-downtime deployment, and regional expansion into Southeast Asia and India.
HyperVerge uses Terraform, CloudFormation, and Ansible for infrastructure; Kubernetes and Docker for container orchestration; Jenkins and GitLab CI/CD for deployment; AWS, Azure, and GCP for cloud; Prometheus and Grafana for monitoring; Elasticsearch for search; Python for application code.
HyperVerge has offices in India (Bangalore, Mumbai, Coimbatore), Vietnam (Ho Chi Minh City), Singapore, and the United States (Palo Alto, California).
HyperVerge'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.