AI Development

AI Development

We build AI that outlives the demo — connected to your operational data and existing systems, then run in production.

Why Now

The PoC phase is over. The remaining question is operations

01

A demo and a production system are different problems

Without source citation, permission separation and response-quality and cost monitoring, internal rollouts stall halfway. We design for operations from the start.

02

AI only works when connected to your data and systems

AI that is not wired into your documents and existing systems is no different from a generic chatbot. Integration design determines performance.

03

We review available public funding with you

During diagnosis we check whether Korean government programmes such as the AX voucher apply to your project.

Service Scope

Service Scope

01

RAG & Internal Knowledge AI

Q&A AI grounded in internal documents and policies, with source citations and department-level access control.

Technology

LLM API integration (Claude, OpenAI)RAG pipelines & vector databasesSLM fine-tuning & optimizationModel serving & inference optimizationResponse quality & cost monitoring

Methodology

Phase 1–6 methodology applied across all services

Whatever the business area, the same AX methodology guarantees quality and delivery.

Phase 1 Baseline agreementPhase 6 Outcome review
Learn more about the methodology

FAQ

Frequently asked questions

Per-department permission separation and access logging are applied by default. For stricter security requirements we evaluate on-premise deployment or a lightweight SLM configuration.

We select between API models such as Claude and OpenAI and fine-tuned lightweight SLMs, based on requirements, cost and security. No specific model is assumed up front.

RAG presents the source documents alongside the answer so it can be verified, and we build response-quality monitoring and prompt version control with it.

Usage-based model cost plus infrastructure. We estimate it against projected usage before kickoff and monitor cost in operation.

Yes. We add only the features you need — recommendation, summarisation, support — including integration with legacy systems.

START A PROJECT

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You don't need a spec. Tell us what slows your team down and we'll find the starting point together.

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