European fintech platform for wealth management, trading terminals, and market data
Infront operates a mature fintech stack anchored in C#, .NET, Oracle NetSuite, and SQL Server—enterprise-grade infrastructure built to handle real-time financial data at scale. The company is actively modernizing its UI codebase and pursuing AI-driven market data and risk analytics, evidenced by projects spanning AI product roadmap development, secure/compliant AI adoption, and real-time streaming platform work. Hiring velocity is accelerating across engineering, product, and finance, with a balanced seniority mix suggesting both individual-contributor depth and management expansion.
Infront is a publicly-listed European fintech serving 3,500 customers in wealth management and trading. The platform delivers real-time market data, trading terminals, portfolio management tools, and analytics to help wealth managers and traders make faster, informed investment decisions. Built in Oslo in 1998, the company operates at 501–1,000 employees and is headquartered in Norway. Current operational focus includes NetSuite ERP modernization, UI codebase renovation, client onboarding workflows, and the development of AI-powered solutions for market intelligence and risk assessment.
C#, .NET Framework, TypeScript, Angular, React, Oracle NetSuite, SQL Server, Azure, Salesforce, and Grafana. Frontend spans modern frameworks (React, Svelte, Angular) alongside legacy web technologies (ASP.NET Web Forms, WPF).
Market data portal integration, UI modernization, real-time streaming platform, NetSuite ERP implementation, AI-powered market data and risk workflows, and secure/compliant AI adoption across existing products.
Infront'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.