Table of contents
Custom software development in India typically costs ₹5L–₹12L for a simple business application, ₹8L–₹20L for a production-ready MVP, ₹15L–₹40L for a mid-size SaaS platform, and ₹40L to over ₹1 crore for a complex enterprise system or an integration-heavy platform. The specific number is driven far more by integration count, data complexity and compliance requirements than by how many screens the application has.
This guide breaks down what you're actually paying for across each layer of a software build, compares fixed-price, time & material and dedicated-team pricing models, and covers the hidden costs that most commonly get missed in an initial quote.
- Simple business application
- ₹5L – ₹12L
- Production MVP
- ₹8L – ₹20L
- Mid-size SaaS / platform
- ₹15L – ₹40L
- Complex enterprise platform
- ₹40L – ₹1Cr+
Large, integration-heavy systems (multiple ERPs, banking APIs, complex compliance) commonly exceed ₹1Cr — see the breakdown below for what pushes a project into that range.
Cost by application type
"Custom software" spans a wide range of project shapes. The table below reflects the bands we scope against most often, from a simple internal tool to a large integration-heavy enterprise platform.
| Application type | Typical scope | Approximate cost |
|---|---|---|
| Simple business application | Single-purpose internal tool, one user role | ₹5L – ₹12L |
| Production MVP | Core workflow, one plan, minimal integrations | ₹8L – ₹20L |
| Mid-size SaaS / platform | Multi-tenant, billing, RBAC, several integrations | ₹15L – ₹40L |
| Mobile + web application | Native or cross-platform app plus a web admin/backend | ₹18L – ₹45L |
| AI-enabled application | Core application plus a genuine AI feature (RAG, agent, ML) | ₹20L – ₹55L |
| Internal enterprise portal | Multi-department, RBAC, reporting, workflow approvals | ₹25L – ₹60L |
| CRM/ERP-style platform | Deep custom business logic, multiple modules | ₹35L – ₹80L |
| Marketplace (multi-sided) | Buyer/seller roles, payments, matching/search, disputes | ₹35L – ₹85L |
| Integration-heavy enterprise platform | Multiple ERPs/banks/legacy systems, compliance requirements | ₹1Cr+ |
Why two projects with the same screen count can cost very differently
Screen count is a weak predictor of cost, and it's worth being explicit about why: a 20-screen internal tool with simple CRUD operations and one data source is a fundamentally different engineering problem from a 20-screen platform that needs real-time updates, three external integrations, complex approval workflows, and role-based data visibility. The visible surface area (screens, buttons, forms) is often the easiest part to build. The cost lives in what's underneath: data modeling correctness, integration reliability, business logic edge cases, and non-functional requirements like performance and security that never appear on a wireframe.
What each layer of the build actually costs
Frontend
The user-facing application — commonly built in Next.js or React today. Cost scales with the number of distinct workflows and how much real-time or highly interactive UI is genuinely needed, not with visual polish alone.
Backend and database
Business logic and data persistence — typically Java with Spring Boot or Python with FastAPI on the backend, PostgreSQL as the primary store. This is where validation, business rules and most integrations live, and it's usually the layer that determines whether a system is actually reliable under real usage. For larger systems, see our Spring Boot microservices architecture guide for when splitting the backend into services is actually worth the added complexity.
Authentication and RBAC
Login, session management, and (for most B2B systems) role-based access control beyond a simple admin/user split — department-level permissions, custom roles, and approval hierarchies. Designing this early is considerably cheaper than retrofitting it once real users and data already assume a simpler permission model.
Reporting, workflow and notifications
Dashboards and exports on the reporting side; multi-step approval workflows and email/SMS/WhatsApp notifications on the other. Both tend to be underestimated because they cut across every module rather than being one self-contained feature.
Integrations
Every third-party or internal system the software needs to talk to — payment gateways, accounting software, a bank API, an existing ERP — is its own scoped integration with its own authentication, error handling and testing. This is consistently the largest source of cost variance between two projects that look similar on paper.
Mobile applications
A native or cross-platform mobile app is a genuinely separate development effort from the web application, even when it shares a backend — budget it as its own line item, not an assumed extra.
Cloud infrastructure, testing, DevOps and security
Hosting (AWS or Azure are the common defaults), containerization, CI/CD pipelines, and security practices (encryption, secrets management, access control) apply regardless of application type, and scale with usage and compliance requirements rather than feature count. If you're modernizing an existing system rather than building new, see our cloud migration cost guide for how that specific project type is scoped and priced.
AI features
Where genuinely relevant — a RAG-based search, an AI agent, a predictive model — this is a distinct scoped addition. See our AI development cost guide for how AI features are typically priced on top of a software build.
Maintenance
Software is never really finished. Budget ongoing maintenance — bug fixes, dependency updates, small enhancements — as a recurring cost from day one, not an afterthought discovered after launch.
Fixed-price vs. time & material vs. dedicated team
| Model | How it works | Best for |
|---|---|---|
| Fixed price | A set price for a defined scope, agreed upfront | Well-defined projects with a stable, unlikely-to-change scope |
| Time & material | Billed by actual hours/effort spent | Projects where scope is expected to evolve as you learn |
| Dedicated team | A team billed monthly, working as an extension of yours | Ongoing product development, not a single fixed deliverable |
Development timeline
A simple business application typically takes 6–10 weeks. A production MVP typically takes 8–14 weeks. A mid-size platform runs 4–7 months, and a complex enterprise system or integration-heavy platform commonly takes 8–14 months or longer, largely driven by the number of external systems and approval cycles involved.
Team structure
A typical custom software project draws from:
- Product / business analyst — translates business requirements into a build-able scope
- UI/UX designer — especially valuable early, since design decisions are expensive to unwind later
- Frontend developer(s)
- Backend developer(s)
- Technical architect — for anything beyond a simple application, gets the system design right before code is written
- QA engineer — frequently under-resourced on smaller budgets, which shows up as production issues later
- DevOps engineer — often part-time until the system reaches meaningful scale
- AI engineer — only where a genuine AI feature is in scope, not by default
Hidden costs
These are the costs that most commonly don't appear in an initial vendor quote:
- Third-party API costs (billed by usage, separate from development cost)
- Payment gateway fees and integration effort
- Cloud infrastructure — scales with usage, not a one-time cost
- SMS/email/WhatsApp API costs for notifications
- Maps, geolocation or other specialized API subscriptions
- Monitoring and logging tooling
- SSL certificates and domain/infrastructure security setup
- Security audits or penetration testing, especially before larger clients sign on
- Ongoing maintenance and dependency upgrades
- App store fees and review-cycle delays for mobile apps
- Data migration from an existing system, if replacing one
How to reduce development cost without damaging quality
- Scope integrations explicitly, one by one, rather than as a vague "connect to our systems" line — this is where budgets most commonly blow past an initial estimate.
- Start with the core workflow, not every feature you can imagine — a focused MVP validates assumptions before you spend enterprise-platform budget on unvalidated ideas.
- Fix your data model early. Changes to core data structures get more expensive the later they happen, especially once real data exists in production.
- Don't skip QA to save budget. Under-resourced testing reliably shows up as a more expensive fix cycle after launch, plus the harder-to-quantify cost of user trust.
- Reuse before you build. A billing provider, an authentication service, or a managed database is almost always cheaper than building the equivalent yourself, and rarely worth the differentiation of doing it in-house.
- Build vs. low-code, honestly assessed: low-code can be the right call for a simple internal tool or early validation; custom development earns its cost once you need real scale, deep custom logic, or a product you intend to own long-term. See our build vs. buy software decision framework for how to think through this more generally, beyond just the low-code question.
For projects with real enterprise integration complexity — bank APIs, ERP connections, multi-system compliance — the effort and cost patterns in our corporate bank API integration guide apply directly, even outside a banking-specific context.
Planning a similar project?
Talk to our engineering team about architecture, scope and realistic cost before you commit to a build.
Frequently asked questions
How much does custom software development cost in India?+
Indicatively: ₹5L–₹12L for a simple business application, ₹8L–₹20L for a production MVP, ₹15L–₹40L for a mid-size platform, and ₹40L–₹1Cr+ for a complex enterprise or integration-heavy system.
Why do two projects with the same number of screens cost differently?+
Screen count reflects visible surface area, not underlying complexity. Data modeling, integration count, business logic edge cases, and non-functional requirements (security, performance) drive cost far more than how many screens a project has.
What's the difference between fixed price and time & material pricing?+
Fixed price sets one price for a defined scope agreed upfront, shifting scope-change risk to the vendor. Time & material bills actual effort spent, shifting flexibility (and risk) to the client. Dedicated team pricing bills a team monthly for ongoing work rather than one deliverable.
How long does custom software development take?+
A simple business application typically takes 6–10 weeks. A production MVP takes 8–14 weeks. A mid-size platform takes 4–7 months, and a complex enterprise system can take 8–14 months or more.
What hidden costs should I budget for beyond the development quote?+
Third-party API and payment gateway fees, cloud infrastructure (scales with usage), notification API costs, security audits, ongoing maintenance, and data migration if replacing an existing system — see the checklist above.
Should I build custom software or use a low-code platform?+
Low-code suits simple internal tools or early validation. Custom development is worth the cost once you need real scale, deep custom business logic, or a product you intend to own and differentiate long-term.
How can I reduce software development cost without hurting quality?+
Scope integrations explicitly rather than vaguely, start with a focused core workflow, fix your data model early, and don't cut QA — under-resourced testing consistently costs more later than it saves upfront.
Written by
CodeSurge AI Engineering Team
The CodeSurge AI team designs and builds AI systems, SaaS products and enterprise integrations for clients in India, the UAE and beyond — this section shares the architecture patterns, cost drivers and implementation tradeoffs we work through on real projects.