Decision intelligence platform for credit risk, fraud and customer decisions
Provenir sells a unified decisioning platform covering credit risk, fraud and customer management for financial services. Its stack pairs a Java/Python microservices core on AWS EKS with Kafka and Druid, and it is now adopting LangChain, LangGraph, LlamaIndex and Amazon Bedrock, pointing to agentic AI built into decisioning. Hiring is sales-heavy and senior, with Nordics go-to-market work and a shift from Jenkins toward ArgoCD and CodeBuild.
Notable leadership hires: Country Director
Provenir is a privately held software company founded in 2004 and headquartered in Parsippany, New Jersey, with 201–500 employees. It provides a single platform that combines data, models and AI agents to automate and optimize customer decisions across credit risk, fraud and customer management. Its buyers are financial services providers spanning consumer, auto, SME, commercial and retail lending, plus merchant onboarding. The company runs operations in over 60 countries and hires across the United States, United Kingdom, India, Indonesia, Malaysia, Sweden and South Africa.
Provenir runs Java, Python (FastAPI), C# and C++ on AWS with EKS, Lambda, Kafka, Druid, Athena and PostgreSQL, deployed via Docker, Kubernetes, Terraform and ArgoCD. Sales and marketing use Salesforce and Pardot.
Yes. Provenir is adopting LangChain, LangGraph, LlamaIndex and Amazon Bedrock, along with Cursor for development and AWS Step Functions for orchestration.
Provenir hires in the United States, United Kingdom, India, Indonesia, Malaysia, Sweden and South Africa, with sales the dominant function and a Country Director leadership role open.
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Provenir'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.