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Generative AI & Language Model Development

AI / LLM Development

From proprietary SLM training to enterprise RAG pipelines and medical AI integration — SOPHIA engineers production-grade AI grounded in your actual business data, not generic hallucination.

5+
LLM Providers Integrated
RAG
Vector Retrieval Architecture
SLM
Proprietary Model Development
EMR
Medical AI Integration
AI Capabilities

What SOPHIA Builds with AI

Production AI systems across customer consultation, document intelligence, medical decision support, and enterprise search — engineered for real operational deployment, not demo performance.

01
Proprietary SLM Development
Domain-specific Small Language Models trained on your data. Lower cost, higher accuracy, full data sovereignty — deployed entirely on your infrastructure.
02
RAG Pipeline Architecture
Retrieval-Augmented Generation systems that ground every AI response in your verified internal knowledge base with full citation.
03
AI Chatbot & Consultation
Multi-turn intelligent chatbots for customer service, sales qualification, and technical support with CRM & ticketing integration.
04
Medical AI & EMR Integration
Clinical decision support, symptom triage, prescription assistance, and AI-linked EMR workflows compliant with Korean medical law.
05
Enterprise AI Search
Semantic search over internal documents, manuals, and knowledge bases — replacing keyword search with intent understanding.
06
AI Process Automation
Product description generation, contract drafting, report summarisation, email triage, and intelligent document routing at scale.
Integrated Platforms

LLM Model Ecosystem

SOPHIA selects the optimal model — or combination — for each client’s latency, cost, accuracy, and data-privacy requirements. We are model-agnostic and vendor-neutral.

SOPHIA In-House
Custom-trained small language models on client domain data. Full data sovereignty, on-premise deployment, lowest inference cost, Korean NLP optimised.
Fine-tuningOn-premiseKorean NLPLoRA / QLoRA
OpenAI API
Best-in-class reasoning and multi-modal capability. Ideal for complex document understanding, code generation, function calling, and structured JSON output.
GPT-4oVisionFunction CallingAssistants API
Anthropic API
Superior long-context understanding (200K+ tokens), nuanced instruction following, and safety-oriented output — ideal for legal, medical, and compliance contexts.
200K ContextComplianceClaude 3.5 Sonnet
Google AI / Vertex
Native multimodal from ground up — text, image, audio, video in one model. Strong Korean language performance and Google ecosystem (Docs, Sheets, Meet) integration.
MultimodalGemini 1.5 ProVertex AI
Self-Hosted / On-Premise
LLaMA 3, Mistral, Exaone (LG AI Research), SOLAR (Upstage) — deployed on-premise for zero API cost and complete data sovereignty in regulated industries.
LLaMA 3SOLARExaoneMistral
Semantic Search Layer
text-embedding-3, BGE-M3, KoSimCSE for Korean-optimised semantic search. Pinecone, Weaviate, pgvector for production-scale vector storage and retrieval.
PineconepgvectorKoSimCSEBGE-M3
Core Architecture

RAG Pipeline Architecture

Retrieval-Augmented Generation grounds AI responses in your specific business knowledge — eliminating hallucination while keeping responses accurate, current, and auditable.

01 — INGEST
Document Ingestion
PDF, DOCX, Excel, DB tables, API feeds — parsed, cleaned, chunked with metadata preservation and versioning.
02 — EMBED
Vector Embedding
Chunks converted to semantic vectors via embedding model. Korean-optimised models for domestic content.
03 — STORE
Vector Database
Vectors stored in Pinecone / pgvector with metadata filters enabling precise, permission-aware retrieval.
04 — RETRIEVE
Semantic Retrieval
User query converted to vector. Top-K most relevant chunks retrieved with similarity & reranking scoring.
05 — GENERATE
Grounded Response
Retrieved context + query passed to LLM. Response is grounded, source-cited, and auditable in dashboard.
SOPHIA’s RAG implementations include source citation for every AI response, confidence scoring to flag low-certainty answers, and admin audit dashboards showing exactly which documents informed each answer — critical for regulated industries.
Deep Dive

AI Consultation System Development


Customer-Facing AI
Intelligent Consultation Chatbot
Deployed on your website or app, the AI handles product queries, appointment booking, complaint routing, and complex technical questions — 24/7, in Korean and English.
Core Features
  • Multi-turn context-aware conversation (memory across session)
  • Intent detection & slot-filling for structured data capture
  • RAG-backed product & service knowledge base responses
  • Human escalation with full conversation context handoff
  • Korean / English / Chinese / Japanese multilingual
  • CRM & ticketing integration (Salesforce, HubSpot, Zendesk)
  • Voice input (STT) & voice response (TTS) interface option
  • Conversation analytics & satisfaction scoring dashboard
Internal AI Automation
Enterprise Process Automation
AI working inside your organisation — automating repetitive document tasks, classifying inbound requests, extracting structured data from unstructured inputs, and surfacing relevant information instantly.
Automation Capabilities
  • Document classification & routing (contracts, invoices, claims)
  • Structured data extraction from PDF / image / email
  • Report summarisation & meeting minutes auto-generation
  • Product description & SEO content auto-generation
  • Email & enquiry auto-triage with draft reply generation
  • Internal knowledge search (employee-facing AI assistant)
  • Contract clause analysis & risk flagging
  • HR screening: CV parsing & candidate-role matching
Sector Applications
Legal & ComplianceE-CommerceHealthcareFinanceManufacturingReal Estate
Specialised Domain

Medical AI & EMR Integration

SOPHIA connects AI language models to clinical workflows — from symptom triage and prescription assistance to HIRA billing automation and DICOM-linked diagnostic support. All systems comply with 의료법, 개인정보보호법, and 식약처 SaMD guidelines.

Clinical AI
  • Symptom intake & preliminary triage chatbot
  • AI-assisted SOAP note completion from voice
  • Differential diagnosis suggestion (reference tool)
  • Drug interaction & contraindication checking
  • Radiology report assistant (DICOM + LLM)
  • Lab result interpretation & trend alerting
  • Discharge summary auto-drafting from chart
Administrative AI
  • HIRA 청구 code suggestion & validation
  • Insurance claim document auto-generation
  • Patient FAQ chatbot (appointments, results)
  • Medical certificate & consent auto-drafting
  • Appointment optimisation & no-show prediction
  • Clinical guideline semantic search assistant
  • Korean NHI reimbursement rate lookup AI
Compliance & Safety
  • On-premise LLM deployment (no external API)
  • De-identification pipeline for training data
  • Full audit log for every AI query & response
  • Role-based AI access (physician vs nurse vs admin)
  • 식약처 SaMD software classification support
  • Confidence threshold with mandatory human review
  • ISMS-P compatible infrastructure design
SOPHIA’s medical AI systems are built as clinical decision support tools, not autonomous diagnostic devices. Every AI output is presented as a reference to the treating physician with mandatory human confirmation before any clinical action — in compliance with Korean medical law Article 17.
Technology

AI / ML Technology Stack

AI / ML Frameworks
  • LangChain & LlamaIndex for RAG orchestration
  • HuggingFace Transformers for SLM fine-tuning (LoRA / QLoRA)
  • PyTorch / TensorFlow for custom model training
  • Ollama for local LLM serving (on-premise deployment)
  • vLLM for high-throughput GPU inference
  • OpenAI Whisper for speech-to-text pipeline
  • FastAPI / Django for AI microservice backends
PyTorchLangChainHuggingFacevLLMOllamaFastAPIWhisper
Data & Infrastructure
  • Pinecone / pgvector / Weaviate vector databases
  • Elasticsearch for hybrid semantic + BM25 search
  • Redis for session memory & response caching
  • Apache Kafka for real-time streaming pipeline
  • Docker / Kubernetes for model deployment & scaling
  • AWS SageMaker / GCP Vertex AI for cloud training
  • On-premise NVIDIA GPU cluster for sensitive workloads
PineconepgvectorElasticsearchRedisKafkaKubernetesCUDA

Start Your AI Project

Whether you need a customer-facing chatbot, an internal knowledge AI, or a full custom SLM — SOPHIA delivers production AI systems, not proof-of-concept demos.