Fintech runs PaymentSource, a B2B invoice payment and data-capture platform rooted in beverage alcohol distribution. Its data stack is the standout signal: Kafka, NiFi, Druid and Superset sit alongside Databricks with Unity Catalog, and active adoption of Databricks and Azure Data Lake points to lakehouse consolidation. Projects around ML pipelines, LLM solutions and enterprise data APIs show a push to monetize transaction data, while sales remains the largest hiring function.
Fintech is a privately held company founded in 1991 and headquartered in Tampa, Florida, with 201–500 employees. Its core product, PaymentSource, automates invoice payment and collection between alcohol retailers, hospitality businesses, distributors and suppliers, and has expanded to cover broader B2B purchase transactions. The company also offers scan-based trading for retailers and their vendors, plus a CRM tool supporting field execution for suppliers and distributors. Operations and hiring are concentrated in the United States.
Fintech uses Oracle, PostgreSQL, MongoDB, Databricks, Kafka, Apache NiFi, Druid, Superset, Power BI, Python, Java, Spring, .NET, Kubernetes and Terraform across AWS, Azure and GCP, and is adopting Azure Data Lake.
Yes. Data is one of Fintech's main hiring areas alongside sales and engineering, with work focused on BI data pipelines, ML pipelines, LLM-based solutions and enterprise data APIs.
Fintech is headquartered in Tampa, Florida, and hires in the United States. The privately held company was founded in 1991 and has 201–500 employees.
Other companies in the same industry, closest in size
Fintech'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.