AI-driven accounts payable automation with payment fraud and error protection
Traild sells AP automation built around invoice control and anomaly detection on business payments. Its stack spans GCP data tooling (BigQuery, Vertex AI, Dataflow, Pub/Sub) alongside AWS and Azure, with ERP connectors for Xero, Syspro, Acumatica, MYOB and IFS, pointing to a multi-cloud, integration-heavy product. Accelerating hiring splits between engineering and go-to-market, with field marketing and partner programs signaling a North American push.
Traild is a privately held software company headquartered in Denver, Colorado, founded in 2017 and employing 201–500 people. It provides an accounts payable platform that gives finance teams, approvers and executives visibility into high-risk invoices and flags anomalies to guard payments against fraud and mistakes. The product covers invoice processing, workflow management, vendor compliance and business email compromise protection. Traild integrates with accounting and ERP systems including Xero, Syspro, Acumatica, MYOB and IFS, and hires across the United States, Australia, Israel, the United Kingdom, Germany and the Philippines.
Traild runs on GCP, AWS and Azure with Java, C#, Go, Kotlin and Python, using BigQuery, Vertex AI, Kafka, Kubernetes, Terraform, ArgoCD and Datadog, plus ERP integrations like Xero and Acumatica.
Traild is headquartered in Denver, Colorado, and hires in the United States, Australia, Israel, the United Kingdom, Germany and the Philippines.
Job posts point to a close management product, agent workflows, next-generation payments and platform capabilities, enterprise implementations and a partner toolkit.
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Traild'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.