Guides · Pricing
Guides · Pricing
Rebuilding a no-code prototype into production software costs ₪3K–18K when a working system needs to come off the builder onto solid ground, ₪35K–60K for a complete multi-tenant platform, and ₪80K and up when heavy integrations and real scale are involved. The price follows functional scope, meaning what the system has to do, never the hours it takes.
This is the cost chapter of our complete guide to taking a Lovable prototype to production. These are the same numbers we publish openly, with the reasoning behind them.
Hourly pricing puts all the risk on you: nobody can tell you the final number until the work is over, and a slower developer earns more for the same result. So every project here starts with a written quote for a defined scope, and the price is known before the first line of production code.
The written scope also protects you when requirements grow. A new request gets its own line, at ₪170–200 per hour, or ₪220 when a security or algorithm specialist is needed, instead of quietly inflating the original bill.
| Tier | Price | Timeline |
|---|---|---|
| Decouple & Stabilize | ₪3K–18K | 2–4 weeks |
| Production Platform | ₪35K–60K | 6–10 weeks |
| Scalable Product | From ₪80K | 12+ weeks |
Decouple & Stabilize takes your code off Lovable into your own repo and gets it dev and production environments, basic security hardening, monitoring, stabilization and QA. Production Platform adds an admin panel, a private area for every client, full multi-tenant data isolation, a RAG AI engine over your business data, billing, backups and one to three integrations. Most teams pick this tier.
Scalable Product exists for systems with multiple external integrations, sensitive data and compliance requirements, where planning for load stops being optional.
The tier price covers the engineering: the rebuild itself, security hardening, testing and deployment. Third-party costs like hosting, the domain and LLM API usage are billed by usage; we get paid for our work, not for the products your system runs on. That distinction sounds small, but it's exactly where some agencies' invoices swell: a quiet markup on every third-party product your system needs.
Security hardening sits inside every tier rather than being sold as an extra. The specific holes it closes are documented in security holes we keep finding in AI-generated apps. After launch, ongoing maintenance is a separate agreement; industry-standard annual maintenance runs about 15–30% of the original build cost.
Payment comes in three stages, each tied to work you can see.
40% on signing · 30% mid-project · 30% on delivery. Full ownership of the code and the IP transfers to you with that final payment.
That last clause matters more than the percentages. What ownership actually means, and how to check you have it, is covered in who owns the code your AI builder wrote.
Every project starts with a short written quote, valid for 14 days. If the quote or the scope doesn't match what you expected, that's the moment to say so, before anything gets built.
Because most of what you pay for is invisible in a demo. Anyone can prompt an AI tool into something that runs. Taking that to production means penetration testing before release, cross-account isolation checks with two real accounts, environment testing, and a deployment that gets verified instead of assumed. Slow, unglamorous work that makes up most of the bill.
The cheaper quote usually skips exactly that part. We've rebuilt apps that went live with security holes because nobody priced in hardening, and apps that kept breaking in daily use; in every case the repair came on top of what the owner had already paid for the first build. And when a task needs a security or algorithm specialist, it appears as a written ₪220-an-hour line, not buried in the total. You aren't paying a premium for a logo. You're paying for the parts that keep the invoice from arriving twice.
We've delivered 15 production apps, with two more in progress now. A small system really does ship in 2–4 weeks, including penetration testing before deployment; larger platforms run 2–5 months, depending on integrations and how much environment testing they need.
Fity, a WhatsApp bot that helps fitness coaches manage more trainees online, came to us as one monolithic file that kept breaking. Because working code existed, we rebuilt on their base: weeks of coding and testing, ending in a secured app with a proper backend, frontend and database, running several LLM providers with full data separation. When there's nothing to salvage, the work starts from planning instead, and the price reflects that difference in scope, not a penalty for a messy prototype.
The full tier-by-tier breakdown, including what each level ships with, is on the pricing page. Straight answers to the questions founders ask about price before hiring anyone are on the FAQ page.
Founder and main developer at Zyntari. Building apps and AI solutions since 2024; before that, 12 years in sales and client-portfolio management and co-founder of two companies. More about the team · LinkedIn