Point-of-sale and operations platform for specialty retailers
Quilt Software builds industry-specific tools for local and specialty retailers competing against larger chains. The stack reveals dual operational modes: a retail POS layer (Windows, SQL Server, PHP, React) paired with a modern data and payment infrastructure (Databricks, PySpark, dbt, Kafka, Stripe, Adyen). Current hiring is support-heavy (3 of 8 roles), suggesting the product is in active customer deployment phase, while simultaneous work on fraud pipelines and underwriting frameworks signals expansion into merchant financial services.
Quilt Software provides point-of-sale, ecommerce, and operations tools designed for specialty and independent retailers. The product integrates with major ecommerce platforms (Shopify, DoorDash) and payment processors (Stripe, Adyen) to help smaller retailers manage inventory, transactions, and customer data alongside larger enterprise competitors. The company operates from New York with 201–500 employees and is actively building data governance, analytics modeling, and fraud detection capabilities to support higher-value merchant services. Work on risk scoring and underwriting suggests the platform is expanding beyond transactional POS into merchant credit and financial risk assessment.
Quilt uses Windows, SQL Server, and PHP/React for the core POS layer; Databricks, PySpark, and dbt for data pipelines; Kafka for event streaming; and Stripe, Adyen for payments. Cloud infrastructure runs on AWS, Azure, and GCP.
Active projects include POS platform development, Shopify/DoorDash ecommerce integration, payment solution integration, ELT pipeline optimization, data governance, fraud detection automation, risk scoring, and underwriting framework implementation.
Quilt Software'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.