Unit delivers embedded banking, capital, and bill-pay APIs for SaaS platforms. The tech stack—AWS, GCP, Azure, Kubernetes, Scala, ZIO, Temporal, Cadence—reflects a distributed systems foundation built for stateful, long-running workflows, a critical requirement for financial transaction orchestration. Current hiring acceleration leans sales and support (4 of 10 open roles), signaling push to scale go-to-market and handle customer complexity, while internal projects address scaling product adoption and automating support triage.
Unit is a fintech infrastructure provider that embeds banking capabilities—capital access, deposit and payment services, bill pay—directly into third-party SaaS and tech platforms. The company serves mid-market to enterprise software vendors who want to offer financial services to their end users without building compliance and operations infrastructure from scratch. Unit operates from New York with a 51–200-person team distributed across the United States and Israel, with active hiring in both regions. The product is live with multiple platform customers across accounting, small business, and home services software.
Unit runs on AWS, GCP, and Azure with Kubernetes orchestration. Core application code is Scala with ZIO, workflow management via Temporal and Cadence, Python for data, and JavaScript for frontend. Developer tools include Retool, Stripe, and Zapier.
Current projects span embedded banking and bill-pay product scaling, sales playbook redesign, demand generation, customer support automation (including AI-powered tooling), and internal process improvements. Scaling go-to-market and handling complex sales deals are active priorities.
Unit'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.