This is the first question every founder, product manager, or business owner asks before they start: how much does it cost to build a SaaS product or digital platform? The honest answer is that the range is wide — from NIS 15,000 for a focused MVP up to several hundred thousand for a mature platform — but it is not random. A handful of product and architecture decisions account for almost the entire gap. Here is exactly what moves the price in 2026, and how to build SaaS without burning budget on features nobody has asked for yet.
A "digital product" is not the same as an "app"
One distinction is worth making before the numbers. A SaaS system is usually a web product that users reach from the browser, pay for by subscription, and that has an admin side, roles, and multiple users. That is a different pricing world from a mobile app. If what you are building is mainly an iPhone and Android app, our guide to app development cost is a better fit for you.
In SaaS, a large share of the cost does not sit in the screens you see but in the infrastructure beneath them: who sees what, how you charge a recurring payment, and how the same system holds ten customers or ten thousand without falling over. That is where the gap between a cheap quote and one that lasts actually lives.
What really moves the price in SaaS
Product scope: screens, workflows, and roles
A system with one core workflow and two user types is not the same project as one with ten workflows, permission management, and three user types. This is the single biggest driver of price — long before the choice of technology.
Multi-tenancy: one customer or a thousand
Real SaaS serves many customers from the same system, and each customer sees only their own data. This architecture (multi-tenancy) costs money from day one, but it is what lets you sell a subscription instead of rebuilding the system for every customer.
Integrations, payments, and the backend
Connecting to billing and recurring subscriptions, to a CRM, to an external API, or to existing data — every such integration adds work. The payments and recurring-billing engine alone is one of the components teams underestimate most, and the one that hurts most when it breaks.
AI inside the product
Smart search, automatic summaries, RAG over your own data, or a built-in AI agent. These features used to be the expensive part of a project, and today they are actually the part that has dropped in price the most — if you build them correctly.
The final number is always a weighting of these four drivers, not the length of your spec document. Custom SaaS development with an experienced team starts from exactly this question: which of these drivers is truly needed in the first version, and which can wait.
The real 2026 price ranges
The numbers below assume AI-based development by an experienced team. At a company still working the old way, expect quotes two to three times higher for the exact same product:
- Focused MVP NIS 15,000-40,000
One core workflow, users and sign-up, and a first deploy to the cloud.
Two to four weeks - v1 platform NIS 40,000-120,000
Multi-tenancy, subscriptions and billing, an admin panel, and a few integrations.
Six weeks to three months - Enterprise system From NIS 120,000
Heavy integrations, built-in AI, security and regulatory compliance, scale.
By scope
Where the money actually goes
A SaaS quote does not split neatly into "design" and "development." The budget spreads across product discovery, UX/UI, frontend, backend, cloud infrastructure, QA and security, and project management. The more complex the product, the larger the share that backend and security take relative to the screens you see.
The two line items easiest to miss are the recurring-billing engine and the permissions layer. Both look like a small line in a spec, and both are real engineering work: trial periods, cancellations, prorated refunds, and the connection to a payment processor justify a separate budget item on their own.
Why two companies price the same SaaS completely differently
The gap between a NIS 40,000 quote and a NIS 120,000 quote on the same spec is usually not a gap in quality — it is a gap in working method. A team that works properly with AI writes a large part of the code, generates tests, and documents as it goes, while the developers focus on architecture and user experience.
This is the same logic behind AI-based development, and it is also what makes it possible to put AI agents for business inside the product at a cost that was impossible two years ago. Ask any company not "whether" it works with AI but how, with which tools, and at which stages.
The method that saves the most — MVP first
- Define one core workflow. 20% of the features deliver 80% of the value. Everything else waits until you have real users and real feedback.
- Start with web, not mobile. Almost any SaaS can be proven in the browser first, saving the cost of two platforms for the stage where it is clearly needed.
- Defer heavy multi-tenancy and complex AI. You can launch with a simple architecture and a single customer, then add the expensive layers once demand justifies them.
- Demand a quote by milestones. A vague "all-in price" is the surest path to surprises. A quote broken into milestones gives you control and clear stopping points.
And what about ongoing costs?
Unlike a brochure website, SaaS costs money after launch too. There is a monthly cloud bill that grows with your user count, ongoing maintenance, and security updates. For a small product this is a few hundred NIS a month; as you scale, infrastructure becomes a budget line you have to plan for in advance, not a surprise at the end of the month.
The good news: an architecture built correctly from the start absorbs growth without a cost jump at every step up. That is exactly why it is worth paying for serious design in the first version, even when it looks like a luxury at the MVP stage.
Questions that come up before you start
How long does it take to build a SaaS MVP?
With an AI-based team, a focused MVP goes live in two to four weeks. The part that takes time is usually not the code but the decisions: what goes into the first version and what does not.
When do you move from MVP to a full platform?
When the numbers say so. Once you have users who return and pay, you add multi-tenancy, subscriptions, and integrations — and that is exactly the jump from the NIS 15,000-40,000 range to the NIS 40,000-120,000 range.
How much does AI add to the cost?
Less than you would think. A focused AI feature — smart search, summaries, or RAG over your own data — now costs about as much as a single component, not a whole project. A complex agent with many tools is a different story, and belongs in the higher range.
Should you build SaaS in-house or with a development company?
It depends on whether the product is the core of the business or a supporting tool. Building an in-house team takes months and is expensive before the first line of code. A product development company brings a team that has already built SaaS, shortens the path to market, and leaves you the decision of whether to bring development in-house later.
Want a real number for your idea? Tell us what you want to build and we will get back to you within one business day with an honest budget estimate, broken down by milestones.
