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Traild Tech Stack

AI-driven AP automation with embedded fraud detection and payment controls

Financial Services Denver, Colorado 201–500 employees Founded 2017 Privately Held
traildsoftware.com LinkedIn

Traild operates an AP platform built on GCP, Kubernetes, and Kafka with Python, Go, and .NET Core across the stack—a modern, cloud-native architecture built to handle high-throughput payment processing. The company is actively adopting SAP Business One, NetSuite, and IFS, indicating deep integration with enterprise ERP systems. Hiring skews heavily toward sales (27 roles) and engineering (24), with senior-level positions dominating, suggesting a sales-led scaling phase paired with platform maturation work around AI-first features and next-generation payments infrastructure.

Tech Stack 48 technologies

Core StackFigma Terraform Kubernetes ArgoCD Datadog New Relic Python Go C# Java Kotlin AWS PHP Kafka BigQuery SYSPRO Acumatica MYOB IFS GCP Cloud Run NET Core Azure Kinesis AWS SNS Dataflow DataFusion Pub/Sub Composer Cloud SQL+18 more
AdoptingNetSuite IFS SAP Business One Sage

What Traild Is Building

◆Challenges

  • Reducing errors in accounts payable
  • Protecting accounts payable from fraud
  • Fraud, errors, mistakes
  • Streamlining accounts payable operations
  • Payment errors and fraud
  • Fraud protection in b2b payments
  • Scaling marketing operations across regions
  • Building next generation payments platform
  • Expanding partner ecosystem
  • Financial risk at scale

▲Active Projects

  • Next generation payments platform
  • Sap b1 implementations
  • Campaign reporting
  • Financial infrastructure team
  • Product launches and gtm experiments
  • World-class operational engine
  • Erp integration projects
  • Ai-driven platform for finance teams
  • Ai-first products
  • Foundational platform capabilities

Hiring Activity

Accelerating70 roles · 60 in 30d

Department

Sales
27
Engineering
24
Ops
5
Support
5
Finance
4
Marketing
4
Product
2
Design
1

Seniority

Senior
34
Mid
14
Junior
7
Manager
6
Lead
4
Principal
4
Staff
3

Notable leadership hires: Tech Lead

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About Traild

Traild is an AP automation and fraud-detection platform serving mid-market and enterprise finance teams across the globe. The product focuses on two core problems: AP efficiency through invoice automation and workflow management, and financial control through real-time anomaly detection, vendor compliance monitoring, and protection against fraud, errors, and business email compromise (BEC). Founded in 2017 and headquartered in Denver, the company processes hundreds of millions of dollars in payments daily. Active development priorities include ERP integrations (SAP B1, NetSuite), next-generation payments infrastructure, and AI-driven platform enhancements. The organization maintains a distributed hiring footprint across the US, Israel, Mexico, Colombia, Australia, South Africa, UK, Philippines, and Portugal.

HeadquartersDenver, Colorado
Company Size201–500 employees
Founded2017
Hiring MarketsUnited States, Israel, Mexico, Colombia, Australia, South Africa, United Kingdom, Philippines

Frequently Asked Questions

What tech stack does Traild use?

Traild runs on GCP with Kubernetes, Terraform, and ArgoCD for orchestration. Backend: Python, Go, .NET Core, Java, C#, Kotlin. Data: Kafka, BigQuery, Dataflow, Cloud SQL. Monitoring: Datadog, New Relic. Currently adopting SAP Business One, NetSuite, and IFS for ERP connectivity.

What is Traild working on?

Active priorities: next-generation payments platform, SAP B1 implementations, AI-driven platform for finance teams, ERP integration projects, foundational platform capabilities, and AI-first product development. Also scaling marketing operations and expanding the partner ecosystem.

How this profile is built

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.