MVP development cost in Europe
Compare prototype and production MVP ranges, scope drivers, delivery models, and ownership questions before requesting an estimate.
Read the guideFrom software costs and delivery timelines to code ownership and AI automation. Find practical answers and guides for planning your project.
Discovery or prototype work commonly starts at €2,500, a focused production build from €15,000, and an integrated multi-role platform from €40,000. Roles, workflows, integrations, data, security, and acceptance criteria determine the final estimate.
Read the custom software cost guideA prototype used to validate the workflow commonly starts at €2,500. A focused production MVP usually starts at €15,000, while multiple roles, payments, integrations, or regulated data increase the required investment.
Read the MVP development cost guideA clickable or technical prototype commonly starts at €3,000. A focused iOS and Android product typically starts at €12,000, while payments, complex backend workflows, offline data, hardware, or several roles can move the build above €35,000.
Read the mobile app cost guideConsider a shared system when one spreadsheet controls a critical workflow, several people edit competing copies, permissions and change history matter, or manual copying between tools creates recurring errors. Keep the spreadsheet when the work is temporary, low-risk, and owned by one person.
See when spreadsheets become operational riskStart with a frequent, bounded process that has recognizable inputs, a reviewable output, clear exception rules, and a measurable baseline. Document intake, classification, extraction, search, routing, and draft preparation are often better first candidates than open-ended autonomous decision making.
Find the right process for AI automationMeasure the annual value of time saved and avoidable rework, adjust it for realistic adoption and human review, subtract implementation and operating costs, and divide the net benefit by total cost. Use the same period for benefits and costs, and validate assumptions with a bounded pilot.
Calculate AI automation ROI conservativelyNo. Start by describing the business problem, users and desired outcome. If the scope is not clear yet, a process analysis or prototype can be the first step. We agree on the details before development.
The timeline depends on the first-release scope, data and integration availability, and the time needed for decisions and validation. After analysis, we propose stages and a realistic schedule. Larger projects are divided into smaller releases you can review.
Source-code ownership and intellectual-property rights are defined by contract. Repositories and production accounts can be created under your organization. Documentation, handover and access are agreed before work begins.
We prepare the agreed handover and documentation. Maintenance, monitoring, response times and future development are defined separately around the product’s needs. User feedback helps set the next priorities.
Compare prototype and production MVP ranges, scope drivers, delivery models, and ownership questions before requesting an estimate.
Read the guideSee when a spreadsheet still fits and when shared software, a packaged product, or a staged migration is safer.
Read the guideBuild an ROI model from measured time, review, adoption, exceptions, implementation, and operating costs.
Read the guide