Instant personal and business lending platform for India's underserved credit markets
Kissht operates a data-driven lending platform built on MySQL, PostgreSQL, MongoDB, and AWS infrastructure, with observability layers (Datadog, Prometheus, Grafana, OpenTelemetry) indicating maturity in production stability. Active projects span underwriting automation, risk scoring, and real-time analytics—core to scaling approvals at volume. Engineering and data hiring are accelerating, reflecting the operational complexity of risk models, fraud detection, and compliance reporting that dominate their internal pain-point list.
Notable leadership hires: Chief Architect
Kissht is a fintech platform offering personal and business loans up to Rs. 5 lakhs with same-day approval. The company operates across consumer and SMB segments, with significant penetration in tier 2+ cities. Headquartered in Mumbai and founded in 2015, Kissht employs 501–1,000 people and has built its lending engine on data and machine-learning-based underwriting. The platform serves over 15 million customers. The technology stack emphasizes database reliability (MySQL, Aurora, PostgreSQL, DocumentDB) and Kubernetes-native deployment (EKS, ECS, Docker), paired with observability tooling to support high-frequency lending decisioning.
Kissht runs on MySQL, PostgreSQL, MongoDB, and AWS (Aurora, EKS, ECS, Lambda, RDS). Observability: Datadog, Prometheus, Grafana, OpenTelemetry. Orchestration via Terraform, Ansible, ArgoCD, Jenkins. Mobile: React Native.
Active projects include underwriting automation, risk scoring models, real-time analytics, A/B testing, database performance optimization, fraud detection, and decision support tools for lending decisioning.
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