How much does it cost to build an AI app?
The model is the easy part — the cost of an AI app is in the retrieval, the guardrails, the evaluation, and the product that makes the intelligence useful and trustworthy.
In short: An AI app usually runs $10,000–$50,000 and ships in 2–6 months. Cost is driven by how much custom model and retrieval work you need, the quality of your data, the guardrails and evaluation, and the product around the model. AI is our spearhead — we build LLM apps, agents, and RAG on OpenAI, Claude, and LangChain.
What drives the cost of a ai app
Model & retrieval work
Straight API calls are cheap; retrieval-augmented generation, tool use, and agents with memory add real engineering and cost.
Data quality & pipelines
Cleaning, chunking, embedding, and keeping your data fresh is often the largest and most underestimated part of an AI build.
Guardrails & evaluation
Preventing bad outputs, measuring quality, and iterating safely is what separates a demo from a product — and it costs real time.
The product around the model
Auth, history, sharing, and the interface that makes the AI useful is a normal app build on top of the model work.
Typical feature costs
Planning-grade ranges for common features. Your exact price depends on scope, platforms, and design — the calculator combines them for you.
AI features (LLM / RAG)
$4,000 – $12,000
Model integration, retrieval, guardrails, and evaluation.
Login & user accounts
$1,000 – $3,000
Email, social, or phone auth with secure session handling.
Chat / messaging
$3,000 – $9,000
Real-time messaging, presence, and push-backed delivery.
Analytics & reporting
$1,500 – $5,000
Event tracking, dashboards, and exportable reports.
Admin panel / dashboard
$3,000 – $9,000
Back-office to manage users, content, orders, and analytics.
Get your number in under a minute
Pick your platforms, features, and design, and see a real price range and timeline on screen — no email wall. Then get the full fixed-price breakdown mailed to you.
Open the app cost calculator →AI app cost: common questions
What AI stack do you build on?
OpenAI and Claude for models, LangChain and vector databases for retrieval and agents. AI is our spearhead offering — we have shipped tool-using agents and vector-DB prediction apps.
Why is an AI app not just an API call?
Because the value is in retrieval, guardrails, evaluation, and the product around the model. The demo is a day; the reliable, useful product is where the budget goes. We are honest about that.
Can you start small with AI?
Yes. We often start with a focused AI feature or agent that proves value, then expand. We show the roadmap and price the first phase.
How do I get a real number?
Use the calculator below for a planning range, then book a free call for a fixed price and timeline scoped to your data and use case.
Ready to turn this into a real plan?
Your first step is a free call. We scope your app, answer every question, and give you one fixed price and timeline — no obligation, no hourly billing, and you own the code.