Someone emails us: "just need a rough number for custom software." We get it — you're building a budget, not signing a contract, and you want a sane range before you spend three weeks writing a spec. Fair enough. But "how much does custom software cost" is a bit like asking "how much does a house cost." Depends on the house, the lot, the finishes, and honestly, who's swinging the hammer.
In 2026 the pricing conversation has shifted a little. AI features are now a normal line item, not a novelty add-on. Clients ask about them by default, the way they used to ask about mobile responsiveness. That changes the cost math in ways worth understanding before you get a quote.
What actually moves the number
Forget the sticker price for a second. Here's what we watch when we size a project internally:
- How clear the scope is. A founder who says "users log in, create a project, invite teammates, see a dashboard" gets a tighter estimate than one who says "kind of like Notion but for our industry." Vague scope gets padded — not out of greed, but because nobody wants to eat the risk of the unknown.
- Integrations. This is the one people underestimate every time. Connecting to Stripe, a legacy ERP, an old accounting system, or a CRM someone built in 2014 usually costs more engineering time than the screens users actually see. We've watched a "simple" invoicing feature balloon because the client's QuickBooks setup had three years of inconsistent data behind it.
- The quality bar you actually need. Auth, roles and permissions, audit logs, automated tests, staging environments — these aren't nice-to-haves for anything handling real customer data or money. They cost real hours. Skipping them doesn't make the cost disappear; it just moves the cost to next year, usually with interest.
- Who's doing the building. A senior engineer who designs the data model correctly the first time is often cheaper than a junior team that ships fast and needs a rebuild in month four. We've seen both paths. The "cheap" one rarely stays cheap.
- How you're buying it. Fixed-price quotes on requirements that will obviously change midstream tend to grow through change orders — that's not a scam, it's math. Sprint-based pricing prices the actual learning as it happens instead of guessing it up front.
Rough bands, not quotes
We're going to give you ranges here, and we mean it when we say: treat these as planning bands. Anyone who hands you an exact number after a 20-minute call either has built your exact product before, or is guessing with confidence.
- A landing page with lead capture and a simple admin panel usually lands somewhere from the low thousands into the low five figures, depending on how custom the design is and how many systems it needs to talk to.
- A focused MVP — real auth, one core workflow, a basic admin view, deployed to production — commonly sits in the five figures. Add AI features, payments, or genuinely messy data, and it can creep into low six figures.
- A multi-role product with several integrations and any compliance requirement (HIPAA, SOC 2, that sort of thing) tends to run mid-to-high five figures and up, especially once you factor in that you'll keep iterating after launch — because you will.
Geography and seniority shift these bands, sure. But here's the trap: an offshore rate that looks 40% cheaper on paper can end up more expensive once you account for missing tests, no documentation, and a handover that leaves you with credentials nobody can find.
A quick gut-check
If someone quotes you a single number before asking what "done" means for your business, that number is a marketing artifact. A real estimate comes with assumptions attached — and a list of what would move it.
Fixed quote vs. sprint pricing — pick your risk, not your comfort
A big fixed-price number feels responsible. You can put it in a spreadsheet, show it to your co-founder, sleep fine. The problem is that it locks in assumptions before a single real user has touched the product. Requirements will shift once people actually use the thing — that's not a failure of planning, that's just what building software is.
If the only number you're holding is one big fixed quote with no weekly demo plan attached, you're not buying software. You're buying hope with a due date.
Sprint pricing (or a short paid discovery followed by a first sprint) lets you pay for something you can actually reject. That changes the whole risk profile — you're not locked into a wrong decision made in week one, and neither is your vendor, honestly.
How to budget without getting trapped
A few things we'd tell a friend before they sign anything:
- Fund the first shippable slice — not the entire six-month roadmap. You can always fund the next slice once you've seen the first one work.
- Insist that the repository and cloud accounts live under your company from day one, not "at handover." This is non-negotiable and it costs the vendor nothing to agree to it.
- Ask directly what's included by default: tests, CI/CD, documentation, a staging environment. If the answer is "those are extra," that tells you something about the base quote.
- Keep a reserve for iteration two and three. Almost nothing worth building stops at v1 — and budgeting like it will is how founders end up surprised in month four.
Here's the honest version: cost is mostly a proxy for risk and clarity. The clearer your scope and the more visible the delivery, the less you pay for other people's uncertainty.
At ConaiSoft we price around short sprints, senior architecture from the start, and full ownership handed to you immediately — not promised for later. If you want an actual range for your idea instead of a guess pulled from a blog post, book a short call. We'll map your scope to a realistic first delivery, not a fantasy total.