Embedded finance platform for SaaS, marketplaces, and payment processors
Liberis operates an API-driven embedded finance platform connecting platforms (vertical SaaS, marketplaces, payment processors) to merchant lending and financial services. The stack reflects a modern fintech hybrid: C# and .NET backend, Next.js/React frontend, GCP/Azure cloud, with Salesforce, BigQuery, and dbt for data operations. Active hiring skews toward sales (5 roles) and finance (3), with accelerating velocity and senior-heavy seniority mix—signaling aggressive merchant acquisition and underwriting expansion. Current projects center on geographic expansion (Central/Eastern Europe), automated credit decisioning, and risk model development, indicating scaling of core lending operations.
Liberis partners with platforms to embed lending and financial products directly into their merchant workflows. Founded in 2007, the company has built over a decade of credit expertise and now operates across 15 markets, serving merchants from $500 to $1M+ in funding needs. Rather than selling standardized products, Liberis co-creates white-labeled finance offerings tailored to each partner's brand and merchant base, with flexible APIs that allow configuration and launch without re-integration. The platform monetizes through recurring revenue share and supports partner growth in merchant acquisition and retention. Liberis is privately held with 201–500 employees, headquartered in London.
C#, .NET, Next.js, React, GCP, Azure, Salesforce, BigQuery, Looker, dbt, Snowflake, and Redshift. Also integrates WhatsApp, Braze, Gong, and Zapier for operations.
United Kingdom, India, United States, Germany, and Sweden. UK-based (London HQ) with distributed hiring across geographies.
Liberis'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.