4 – 6 weeks

1 – 3 months

3 – 6 months

Understanding the cost of MVP development means understanding what goes into building your minimum viable product. At Datapipesoft, every MVP is customized based on your business model, timeline, and technical needs. Below are the key factors that influence pricing:

  • Project Scope & Feature Set
    The number and complexity of features (user registration, dashboards, search, AI modules, etc.) directly affect time and cost.
  • AI & Advanced Technology Integration
    MVPs that include AI—like recommendation engines, NLP, or computer vision—require additional data pipelines, model training, and fine-tuning.
  • Custom UI/UX Design
    Whether you want a fast prototype or a polished user experience, design requirements will influence development hours and visual complexity.
  • Third-Party Integrations
    Connecting your MVP to payment gateways, external APIs, or SaaS tools (like Stripe, OpenAI, HubSpot) impacts the development timeline.
  • Preferred Platforms & Stack
    Native mobile, web-only, or cross-platform MVPs differ in architecture, tooling, and effort—especially when scalability or cloud hosting is required.
  • Delivery Urgency & Team Involvement
    Tight deadlines or parallel team involvement (e.g., design + engineering + QA from day one) may result in higher estimates.
  • Authentication, Admin Panels & Permissions
    Secure logins, user role management, and internal dashboards can extend both front-end and back-end workload.
  • Data Flow & Reporting Requirements
    If your MVP includes analytics dashboards, event tracking, or real-time data feeds, this adds complexity on both the client and server side.
  • Testing, Documentation & Support
    QA level, technical documentation, post-launch support, and SLA options are built into project pricing depending on your launch goals.