Glossary

Custom Software Development

Definition

Custom software development is the process of designing, building, deploying, and maintaining software tailored to the specific needs of an organisation or user group. Unlike off-the-shelf products, custom solutions are built from the ground up to address unique business processes, compliance requirements, and scalability goals.

In Detail

Organisations in Austria and the DACH region increasingly turn to custom software when standard tools fail to meet their operational or regulatory needs. Custom development covers everything from enterprise resource planning systems and customer portals to data analytics platforms and workflow automation tools. The process typically involves requirements analysis, UX/UI design, iterative development sprints, testing, deployment, and ongoing maintenance.

Business Use Case

A mid-sized manufacturing company in Upper Austria needed to replace three disconnected legacy systems with a single platform that handled inventory, production scheduling, and supplier management. By investing in custom software, they reduced manual data entry by 70%, improved delivery accuracy, and gained real-time visibility across their supply chain — all while meeting EU data protection and industry compliance standards.

FAQs

Q: How long does custom software development take?

Answer: Timelines vary by complexity. A minimum viable product (MVP) can be ready in 8-12 weeks, while full enterprise platforms may take 6-12 months. Dev House Austria uses 2-week sprint cycles so you see progress continuously.

Q: How much does custom software cost in Austria?

Answer: Projects typically range from EUR 15,000 for an MVP to EUR 250,000+ for complex enterprise systems. We provide transparent estimates based on scope, team size, and timeline during the discovery phase.

Q: What technologies do you use for custom software?

Answer: We select the best stack for your use case: React, Angular, or Vue.js for front-end; Java, .NET, Node.js, or Python for back-end; AWS, Azure, or GCP for cloud; and PostgreSQL, MongoDB, or DynamoDB for databases.