AI-powered accounts receivable automation and payment processing for B2B
Billtrust operates an accounts receivable platform built on a polyglot database foundation (MySQL, SQL Server, MongoDB, Aurora across AWS, Azure, and GCP). The company is actively investing in infrastructure automation—adopting Terraform, Ansible, Datadog, Grafana, and Prometheus—while simultaneously pursuing AI-driven security operations (LLM-powered threat hunting, autonomous alert triage, vulnerability remediation). This dual-track hiring pattern (infrastructure/database reliability engineers alongside security/AI roles) indicates a shift from manual AR workflows toward autonomous operational intelligence.
Billtrust provides accounts receivable software and payment processing services for mid-market and enterprise B2B companies. The platform automates the invoice-to-cash workflow, from digital distribution through payment application and cash matching, with real-time analytics to accelerate cash flow. Founded in 2001 and headquartered in Nashville, the company operates as a remote-first organization with 501–1,000 employees. Billtrust processes billions of dollars in transactions annually and sells into finance and operations teams seeking to reduce manual AR work and improve collection velocity.
MySQL, SQL Server, MongoDB, AWS Aurora, Google Cloud SQL, plus Node.js, Java, React, and Angular for the application layer. Infrastructure runs on AWS, Azure, and GCP with Kubernetes orchestration and Terraform/Ansible for automation.
Autonomous database health monitoring, disaster recovery architecture, AI-driven security operations (threat hunting, alert triage, vulnerability automation), and database-as-code migration tooling. Heavy focus on reducing operational toil and enabling autonomous agents.
Billtrust'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.