Procure-to-pay automation platform integrated with ERP systems
PairSoft automates financial workflows for mid-market and enterprise buyers running Microsoft Dynamics, Oracle NetSuite, Oracle Financials, Sage Intacct, and Blackbaud. The tech stack reveals an aggressive pivot toward AI: Azure Machine Learning, PyTorch, TensorFlow, and MLflow sit alongside core ERP connectors, while active hiring targets backend engineering and the adoption roadmap includes Azure OpenAI and Cognitive Services. Active projects span RAG/agent applications, real-time inference, and ML data platforms—suggesting the company is moving beyond rule-based automation toward generative AI-driven document processing and workflow intelligence.
PairSoft delivers procure-to-pay, accounts payable, document management, and payment automation for mid-market and enterprise financial teams. The product portfolio natively integrates with major ERP platforms including Microsoft Dynamics, Oracle NetSuite, Oracle Financials, Sage Intacct, and Blackbaud, allowing customers to automate complex procurement and payment workflows without rip-and-replace. Over two decades of domain focus has embedded support for specialized requirements like VAT compliance, OCR-driven invoice processing, and reconciliation workflows. The company operates with approximately 51–200 employees based in Miami, Florida.
PairSoft natively integrates with Microsoft Dynamics, Oracle NetSuite, Oracle Financials, Sage Intacct, and Blackbaud. Custom API integrations are available for other systems.
Backend: .NET, C#, SQL Server, ASP.NET. Cloud: Azure (App Service, Container Apps, Data Factory, Machine Learning). Data/ML: Python, PyTorch, TensorFlow, MLflow, Apache Airflow. Frontend: JavaScript, Angular, jQuery, Bootstrap. Testing: Selenium, Playwright. Adopting: Azure OpenAI, Cognitive Services.
PairSoft'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.