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Services with AI inside, built by a full team
Demos are easy. An AI service that actually runs in production is a different problem — cost control, response quality and failure handling all have to be designed in. Built by a team that knows the difference.
What we build
AI web services and apps
Services where recommendation, generation or analysis is the core
Internal AI systems
Document search (RAG), automatic classification, report generation
AI pipelines
Collection, processing, model calls and writing results back — automated end to end
Chatbots and agents
Chatbot and agent builds are handled by our parent company.
See Divii Consulting →Why us
Managed in Korean, built to a global standard
100+
A delivery structure with a track record (based on Divii Consulting engagements)
Two weeks
Behaviour proven by prototype before the full build
Designed to run, not just to demo
LLM cost design
Model routing, token limits, a monthly ceiling
Quality control
Response evaluation, fallbacks, and where a human reviews
Security
Data location, access control, audit logging
How it works
Define requirements
the free requirements generatorlets you set out what you want built, yourself, first.
Full build
We build only the validated scope. The detailed process is set out under What happens next.
Validate it for free first
Before any contract, the free tools will give you a feel for scope and cost.
Requirements document generator
Describe the service you want and it drafts a requirements document you can hand straight to a development team.
Define your requirements →Development cost calculator
Enter your project scope to see an expected development cost range up front.
See expected cost →Start here for an AI service that actually runs
Requirements → two-week prototype → full build. We reply within one business day.
Development enquiry
SurfingBear