Turkish ERP, accounting, payroll and business software vendor
Logo Yazılım builds ERP and business applications for companies from micro firms to enterprises, on a Java/Spring Boot and C#/.NET stack backed by SQL Server, Oracle and PostgreSQL across AWS, GCP and Azure. Adoption of RAG plus projects for an agentic AI development platform and prompt/guardrail architecture show a push to embed generative AI into how software is built, while senior-weighted hiring targets performance engineering and data architecture.
Logo Yazılım is a Kocaeli-headquartered business software company founded in 1984 and listed as a public company. Its portfolio centers on ERP and extends to accounting, payroll and HR management, CRM, warehouse and field sales management, workflow and document management, treasury, B2B, retail, e-transformation and fintech products. It serves businesses of every size, from micro-scale operations to large enterprises, and also offers digital transformation consulting and custom project delivery. The company employs 1,001–5,000 people, works with a large partner network and serves customers in more than 60 countries.
Logo Yazılım runs Java with Spring Boot and C#/.NET Core, Angular on the front end, SQL Server, Oracle and PostgreSQL databases, AWS, GCP and Azure clouds, plus Jenkins, Octopus Deploy, Dynatrace, Prometheus and Grafana.
Yes. It is adopting RAG and job posts describe designing an agentic AI development platform, implementing an agentic SDLC, and building prompt and guardrail architecture.
Logo Yazılım is headquartered in Kocaeli, Turkey, and current hiring is focused in Turkey across engineering, data, security, marketing, ops and support.
Other companies in the same industry, closest in size
Logo Yazılım'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.