Non-dilutive working capital for ecommerce and retail growth
Uncapped provides flexible credit lines (£10k–£10m) to growing ecommerce brands and retailers as an alternative to equity financing. The tech stack—Java + Spring Boot on GCP/AWS, plus PyTorch, TensorFlow, and Vertex AI—reflects a fintech built around credit decisioning and risk modeling. Active hiring in data (5 open roles) and engineering (4) paired with projects on credit risk models, underwriting capabilities, and AI tooling adoption signals internal focus on automating and scaling underwriting decisions rather than expanding sales coverage.
Notable leadership hires: Product Director
Uncapped is a UK-based alternative finance provider founded in 2019, serving ecommerce, retail, and seller businesses seeking growth capital without equity dilution. The product offers working capital lines starting at £10k and scaling to £10m, targeted at founders who need to fund inventory, marketing, and operational growth while retaining ownership. Operations span the UK, US, Canada, and Poland. The company has built a credit and risk infrastructure on Java/Spring Boot microservices, GCP/AWS cloud, and ML models (PyTorch, TensorFlow, Vertex AI), with documented pain points around slow credit decisions, underwriting accuracy, and application processing speed.
Java, Spring Boot, Spring Cloud, GCP, AWS, Docker, Kubernetes, Python, PyTorch, TensorFlow, Vertex AI, React, Terraform, Grafana, Loki, and Tempo. Core architecture runs on GCP/AWS with ML models for credit risk and underwriting.
Credit risk model development, underwriting capability improvements, design system scaling, AI tooling adoption, data sourcing and experimentation, and sales systems. Pain points include slow credit decisions and reducing application processing time.
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