How much does custom software cost in India in 2026?

Custom software in India can cost anywhere from ₹2 lakh for a simple web app to ₹50 lakh or more for a complex platform. According to pricing published by Codingclave, a simple application costs ₹2 lakh to ₹6 lakh, a medium one costs ₹6 lakh to ₹18 lakh, and a complex platform can go well beyond that.

But there's a question worth asking in 2026. If AI can build software in hours, why are businesses still paying lakhs to developers?

AI has made development faster. People with little coding experience can now build websites, dashboards and even working applications. But building software and maintaining software are two different things.

An application might work perfectly when you first launch it. What happens when something breaks, an update causes an error, or customer information needs to be protected? That's where the real work begins.

We don't publish fixed prices for our projects because every business needs something different. We quote after understanding the requirements, the number of users, the features and the systems that need to work together.

What do different kinds of software cost?

These are published market estimates, not our prices. Your actual cost depends on what the software needs to do.

Has AI made software development cheaper?

Yes. And there's no point pretending otherwise.

Developers today use AI to write code, find errors, create interfaces and complete repetitive tasks faster. Things that previously took days can sometimes be done in hours. For smaller projects and prototypes, that can reduce development costs.

Even someone without a technical background can describe an idea to an AI tool and get a working application. That's a genuinely useful development.

But there's something people often overlook. Getting software to work is one thing. Knowing why it works is another.

Imagine building a CRM with AI. It has a login page, customer records, a sales dashboard and automated WhatsApp messages. Everything looks good, and your team starts using it.

Three months later, an integration stops working. Customer records aren't updating. Some employees can't access their accounts, while others can suddenly see information they shouldn't.

What happens next?

If you built the system without understanding the code, you may have to return to AI, explain the problem and hope the suggested fix works. It might. AI can be useful for debugging, too.

But fixing one part of an application can sometimes create a problem somewhere else. Without understanding the database, the backend and the connections between features, it's difficult to know whether you've actually solved the issue.

A professional developer can investigate what went wrong, understand which parts of the system are affected, test the fix and make sure the application continues working.

That knowledge is part of what you're paying for.

Why do developers still matter when everyone uses AI?

A good developer doesn't need to write every line of code manually. They can use AI to build faster. The difference is that they understand what the generated code is doing.

They know how the application is structured, where information is stored, how users are authenticated and how different services communicate. They can spot problems that aren't immediately visible on the screen.

For example, a login system might appear to work perfectly. But are passwords stored securely? Can one user access another user's records? Are there limits on who can download customer information?

These aren't things you can judge by opening the application and clicking through a few pages.

AI can help developers identify and fix these problems. But someone with technical knowledge still needs to review the work, test the system and take responsibility for what goes live.

The value of a developer today isn't just how quickly they can write code. It's knowing what can go wrong and what to do when it does.

What about software security?

This is one of the biggest reasons businesses should think carefully before putting AI-built software into daily use.

If you're experimenting with a personal project, the risk might be small. But imagine running a business that stores customer names, phone numbers, addresses, invoices, payment information or employee records.

That information matters. A working application isn't necessarily a secure application.

Software security involves much more than having a password on the login screen. Developers need to think about who can access information, how data moves between systems, which services have permission to connect and how vulnerabilities are discovered and fixed.

And even experienced companies get this wrong.

Even the biggest technology companies face security breaches

On October 29, 2026, cryptocurrency exchange Binance experienced a major security incident involving unauthorized access to its internal wallet systems. The incident affected approximately $6.34 billion in digital assets.

According to Binance's security update, the attack involved compromised devices, stolen credentials and internal systems, including an internal AI tool. The company subsequently rebuilt affected systems, strengthened access controls and introduced additional security measures.

In May 2025, Coinbase disclosed a different kind of breach. Attackers had obtained customer information through people working in support roles who had access to internal systems. Coinbase reported the incident in a filing with the US Securities and Exchange Commission.

These examples show that security problems don't always start with a coding mistake. They can involve employees, devices, access permissions and the way systems are managed.

Neither incident proves that AI-generated code is inherently unsafe. The point is that security requires constant attention, even when a company has experienced engineers and a dedicated security team.

For a small business building its first CRM or ERP, that responsibility matters just as much.

Who looks after your software once it's running?

When you hire a development team, you're paying for more than the initial application. Depending on your agreement, the team can also take care of:

• Security: Reviewing access permissions, protecting sensitive information and fixing known vulnerabilities.
• Bug fixes: Finding the actual cause of a problem rather than repeatedly trying temporary solutions.
• Updates: Keeping the application compatible with changing browsers, operating systems and third-party services.
• Database management: Maintaining data integrity, backups and recovery procedures.
• Performance: Making sure the system continues working as more people start using it.
• Monitoring: Detecting errors and unusual activity before they become bigger problems.

This doesn't mean hiring developers makes your software impossible to hack. No team can promise that. It means having people who understand the system, know how to respond to problems and can keep improving it.

AI can help you build the software. But who is responsible for it when something goes wrong?

That's a question worth asking before you put important business data into any application.

What does an hour of development cost?

According to Clutch, software development companies listed in India commonly charge between $25 and $49 an hour.

Using a rounded exchange rate of ₹95 per dollar, that's approximately ₹2,400 to ₹4,700 per hour. These are rates from companies listed on Clutch. Individual developers and other agencies may charge less or more.

For example, a project requiring 300 hours of development would cost approximately ₹7 lakh to ₹14 lakh at those rates.

Clutch also reports that many projects reviewed on its platform fall in the $10,000 to $49,999 range, or roughly ₹9.5 lakh to ₹47.5 lakh.

Its reported average project cost is much higher, at approximately $132,480 over 13 months. Large projects can push averages up, so the typical range is often more useful for a smaller business.

What actually determines the cost?

The biggest factors are the number of screens, the number of people using the software and the systems it needs to connect to. But there are a few other things worth discussing before asking for a quote.

• Screens: How many different tasks does the application need to support?
• User roles: Will staff, managers, administrators and customers each have different access?
• Integrations: Does it need to connect with WhatsApp, accounting software, payment gateways or an existing CRM?
• Existing data: Are you moving records from Excel sheets or another system?
• Reports: What information does your team need to see, and how often?
• Security: What data will be stored, who should access it and what protections are needed?
• Maintenance: Who will manage updates, bugs and technical problems after launch?

Take RestoPOS, a point-of-sale system we developed for hotels and restaurants. It includes a table floor view, orders, kitchen and waiter panels, bookings, liquor stock, billing and a revenue dashboard.

These aren't just separate screens. A waiter places an order. The kitchen receives it. The billing system needs to know what was ordered. The manager needs to see the revenue.

All of those parts need to work together. If one connection fails during a busy evening, the restaurant needs someone who can identify and fix the problem.

That's why the cost depends on much more than how the application looks.

What will you pay after launch?

Software doesn't stop needing attention once it's deployed. There are security patches, updates, backups, bug fixes and occasional changes to how the business operates.

Codingclave suggests budgeting around 15% to 20% of the original development cost each year for maintenance and related expenses.

For a ₹10 lakh project, that's approximately ₹1.5 lakh to ₹2 lakh annually. It's a planning estimate, not a fixed rule. Some applications need less support, while heavily used systems can require substantially more.

Hosting is another expense. For example, Vercel's Pro plan has a $20 monthly charge per paid developer seat, with usage allowances. Supabase's Pro plan starts at $25 per month and includes an 8 GB database allowance and compute credits. Costs increase with traffic, storage and additional services.

Before you launch, ask your developer for a realistic estimate based on how many people will use the application. Also make sure your hosting, database and other important accounts are registered in your company's name.

Is off-the-shelf software cheaper?

Usually, yes, especially when you're starting.

If an existing product already does what your business needs, there's little reason to spend lakhs building the same thing again. Zoho CRM, for example, offers a free edition for up to three users.

For many small businesses, that's enough to begin managing contacts and sales. Over time, though, subscription costs can add up.

Here's an example using rounded, illustrative numbers.

Suppose 20 employees use a tool costing ₹1,500 per user per month. Over three years, the subscription would cost ₹10.8 lakh.

Now suppose you build custom software for ₹8 lakh and spend 20% of the initial cost on maintenance each year. Over three years, the total would be approximately ₹12.8 lakh, before additional costs such as hosting.

The subscription is still cheaper in this example.

So why build custom software?

Because sometimes the biggest expense isn't the subscription. It's the work your team has to do around it.

Maybe your employees spend hours copying information between tools. Maybe your process doesn't fit the software. Maybe you need five different subscriptions to complete one task.

That's when custom development starts making sense.

Before committing to a large project, calculate what your manual processes are costing you. You might find that a small automation solves the problem without needing a completely new application.

How can you reduce software development costs?

AI can help reduce the time spent on development, but good planning can save just as much money.

The easiest way to overspend is to start building before you've decided what the software actually needs to do.

A few practical ways to avoid that:

• Start by replacing one manual process rather than trying to automate the entire business.
• Speak to the employees who will use the software every day.
• Build a clickable prototype before spending money on full development.
• Release important features first and add the rest when they're needed.
• Use existing services for payments, emails and authentication where appropriate.
• Let developers use AI to speed up suitable tasks, while keeping proper reviews and testing in place.
• Don't remove security testing, backups or documentation just to make the initial quote cheaper.

If you're planning to sell your software to other companies, read our guide on how to build a SaaS product. Some early technical decisions can become expensive to change once customers are using the platform.

What should you check before hiring a software developer?

A low quote might look attractive, especially when AI tools can now generate applications so quickly. But before choosing a development company, find out exactly what you're paying for.

Your quote should explain:

• Which screens, features and integrations are included.
• Who owns the source code and whether you'll receive documentation.
• How the application will be tested before launch.
• How user permissions, data protection and backups will be handled.
• Who will fix bugs after deployment and how quickly support is available.
• How much maintenance will cost each year.
• How additional features and changes will be charged.
• Whether hosting, third-party services and GST are included.

Ask what happens if you decide to work with another development team in the future. Will they be able to understand and maintain the software without rebuilding it?

With us, you own the code from the first release, and we provide documentation so another team can pick up the project if needed.

We believe that's an important part of building software for a business.

So, how much should you budget for custom software?

Start with the problem you're trying to solve.

If your business is losing hours every week because employees are manually moving data, calculating reports or switching between different tools, work out what that time costs you.

Then compare it with the cost of building software and maintaining it over the next three years.

If an existing product can solve the problem for less, use it. If custom software makes more sense, invest in a system that can grow with your business and be maintained properly.

AI has changed how software is developed. A good development team can use it to work faster, reduce repetitive work and focus more attention on difficult problems. But speed should never come at the expense of understanding how the application works.

Because the real cost of software isn't just what you pay to build it. It's also what happens when it breaks, when it needs an update, or when the information stored inside it is at risk.

Building software has become easier. Building software you can depend on still takes experience.

If you're planning a custom CRM, ERP, business dashboard or SaaS platform, explore how we build custom software.

Or tell us what you're planning and what you want to spend. We'll help you understand what your budget can realistically cover.

About the author

Abhinandan Jain, co-founder, clients and AI

Abhinandan looks after clients, sales and the AI side of our work, including AI systems for clients in Dubai. He has built AI systems since 2025 and is usually the first person you speak to.

Meet the team LinkedIn