~/pricing.txt

How Much Does
AI Development Cost?

AI is not priced "per chatbot" — it is priced by data volume, scenario complexity, and whether you need on-premise. Ask what problem AI solves for you first.

$4k+AI support
$7k+Knowledge Q&A
$15k+On-premise
How Much Does AI Development Cost?
01 / Market pricing

Market pricing: three directions

01

AI Support Bot · $4,000 - $15,000

Connect your knowledge base (product docs, after-sales rules), auto-answer FAQs, escalate complex issues to humans. Priced by document volume and channels.

02

Knowledge-Base Q&A · $7,000 - $20,000

Auto document parsing + semantic search + citation tracing. For law, consulting, healthcare and document-heavy industries.

03

On-Premise Deployment · $15,000 - $40,000+

Models and data all deployed on the client intranet — data never leaves. For government, finance, legal and compliance-heavy organisations.

02 / What drives the price

What drives the price?

Data volume & quality500 documents vs 50,000 — chunking, embedding and tuning differ by an order of magnitude.
Scenario complexity"Auto-answer" vs "auto-answer + escalate + tickets + CRM integration" are different projects.
On-premise vs APICloud LLM APIs are cheap; on-premise (servers + model deployment) costs more but keeps data secure.
ChannelsWeb only? Or WeChat + mini-app + WeChat Work? Every channel adds adaptation work.
Continuous tuningLaunch is the start; accuracy improves with real conversations — usually included in the first 3 months.
# Transparent reference pricing. Final quotes follow a requirements call — but you can use this table to compare any vendor.
03 / Case reference

Our real cases

E-commerce AI support: RAG over knowledge base answers 90% of FAQs, tickets down 40%. Law firm knowledge base: search for 5000+ docs from 30 minutes to 30 seconds.

View AI case → →

Want to know what YOUR AI project costs?

Tell us your industry, data volume and the problem to solve. We will give a preliminary quote range — free.

Free consultation →