Project type
The biggest single factor. An internal tool and an enterprise platform are both custom software, but can differ in price by twenty times or more.
Free cost calculator
Custom software development cost calculator.
Answer five quick questions to get a realistic 2026 price range for your software project, plus what it looks like with 0% interest financing.
How the estimate works
The five factors that move the price most.
Integrations
Every system the software connects to, accounting, CRM, payments, legacy databases, adds testing, error handling, and maintenance surface.
Platforms
Adding a mobile app alongside a web product adds a second interface to design, build, test, and ship through app store review.
AI features
AI requires a separate layer of data and model work on top of standard engineering, one of the fastest-growing cost categories in 2026.
Compliance
Healthcare and financial data bring access controls, audit trails, and security requirements that need to be designed in from day one.
Common questions
Common questions about software development costs.
Roughly $15,000 to $25,000 for a simple internal tool, $40,000 to $150,000 for a customer portal, web app, or SaaS MVP, and $250,000 or more for an enterprise platform. Integrations, mobile apps, AI features, and compliance requirements push the number up from there.
It gives a realistic planning range based on typical 2026 pricing, not a quote. Your exact cost depends on detailed scope, which Envazia confirms on a free strategy call.
Yes. Qualified projects can use Envazia's 0% advance, 0% interest financing, spreading payment across 1, 2, or 3 years instead of the 30% to 50% deposit most development firms require.
Team location and seniority, how thoroughly the vendor scoped the work before pricing it, and whether the quote includes design, QA, deployment, and post-launch support or only development hours.
Usually by a meaningful amount. Light AI-assisted features add less than AI at the core of the product, such as agents, custom models, or data pipelines, which need dedicated data and model work.
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