inFakt operates a mature accounting SaaS serving over 400,000 Polish entrepreneurs. The tech stack spans Ruby, Python, Kotlin, and Java — a polyglot approach typical of a company managing both web and mobile surfaces across complex domain logic. Recent hiring acceleration in engineering (4 open roles) paired with active projects around AI-driven test automation and CI/CD pipeline work suggests they're investing in test infrastructure and quality velocity. The parallel hiring in marketing (2 roles) and support (2 roles) signals a shift toward brand-led growth and scaling customer success.
inFakt is a Polish accounting software company founded in 2008, headquartered in Kraków. The platform provides online invoicing, bookkeeping automation, and business registration support to SMBs and sole proprietors. The company employs approximately 50 people across engineering, accounting, customer support, and sales teams, with the engineering team as the largest function. The product is actively used by over 400,000 entrepreneurs daily. The organization emphasizes Agile practices across all departments and invests in team development through conference participation and internal knowledge-sharing initiatives.
inFakt uses Ruby, Python, Kotlin, Java, TypeScript, and JavaScript for application development. Backend infrastructure includes PostgreSQL, RabbitMQ, Spring Boot, and Ktor. Testing tools include Playwright, Appium, Selenium, and JUnit. Cloud platform is AWS with Kubernetes orchestration.
inFakt's accounting platform is actively used by over 400,000 entrepreneurs in Poland. The company was founded in 2008 and operates as a privately held organization with approximately 50 employees in Kraków.
inFakt'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.