Straight answer: AI development cost usually runs from about $8,000 for a focused feature to $150,000+ for a full production platform. Below are the real ranges, what moves the number, and how to get a fixed estimate for your exact build.
Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.
Cost ranges
These are indicative ranges from real projects, not a rate card. The exact figure is a fixed price you approve after the free audit, but this is what to budget against.
| What you are building | Typical range | What it is |
|---|---|---|
| A focused AI feature or automation | $8,000 to $30,000 | One clear job: a RAG assistant, a workflow automation, a forecasting model. Scoped narrow, shipped in weeks. |
| An AI product MVP | $25,000 to $75,000 | A first real version users can touch: a product feature set, agent system or data-plus-model build with a UI. |
| A production AI platform | $60,000 to $150,000+ | Data engineering, multiple models, integrations, evaluation, monitoring and compliance for scale. |
| A fractional AI team | Priced per engagement | Senior ML engineers on your roadmap part-time or per sprint, billed monthly, capability without a full-time hire. |
Cost drivers
Clean, accessible data is the single biggest lever. Scattered or messy data adds a data-engineering phase before any model work.
Every system the AI must read from or write to (CRM, ERP, EHR, payment stacks) adds scope. Standard APIs are cheap; bespoke ones are not.
A retrieval assistant is very different from a custom-trained model with guardrails, evaluation and human-in-the-loop review.
HIPAA, data residency or on-premises deployment add controls and audit trails: necessary, and they cost more than a public-cloud demo.
A prototype for ten users and a system that stays accurate and cheap for ten thousand are different builds.
For founders
If you are a founder, the number that matters is the cost to build an AI MVP, a first real version users can touch. That is typically $25,000 to $75,000, and the swing comes from how much data work is needed first and whether you need a retrieval assistant, an agent system or a custom model. We scope it narrow on purpose, so budget goes to something demoable, not a year of platform-building before launch. See our AI for startups page for how that engagement works.
Whatever the build, the price is fixed after a free 48-hour audit. Read how we price for the full method.
For the market context behind these numbers, see our cited AI Development Cost 2026 Report, or estimate your own savings with the free AI automation ROI calculator.
What to budget
FAQ
AI development cost depends on scope, but as indicative ranges: a focused AI feature or automation is typically $8,000 to $30,000; an AI product MVP $25,000 to $75,000; and a full production AI platform $60,000 to $150,000+. The biggest cost drivers are your data readiness, the number of integrations, model and evaluation complexity, and any compliance or on-premises requirements. Your exact number is a fixed price you approve after a free 48-hour audit, not an open-ended hourly bill.
Most AI product MVPs land between $25,000 and $75,000. The range reflects how much data engineering is needed first, whether it is a retrieval assistant versus a custom model, and how many product surfaces and integrations are in scope. We deliberately scope the MVP narrow, the one capability that proves value, so you reach a real, demoable product in weeks rather than spending the whole budget before launch.
Because a fixed scope protects you. After the free audit we give you a written scope, milestones and a fixed price, so you approve the cost before any build starts and there are no open-ended hourly surprises. We bill against delivered milestones. It also keeps us honest. We carry the risk of estimating well, not you.
Our senior engineers are India-headquartered in Ahmedabad, so our rates are typically 40 to 60% below comparable US or UK firms for the same seniority, without a junior bench learning on your budget. You get senior-only delivery, working-hours overlap, and production AI in 3 to 8 weeks.
A scoped engagement includes the build, the data engineering it depends on, evaluation and guardrails, deployment to your environment, documentation and a handover. There is no charge for the audit or the estimate, and no retainer for capability you are not using.
Keep reading
Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.