Services
AI Infrastructure Development
Build the backbone of your AI operations
Enterprise AI Infrastructure Built for Reliability and Scale
We design and build the AI infrastructure that powers intelligent operations at scale. From modular prompt engineering to fact-checking systems that keep AI honest, we create the technical foundations your organization can depend on every day.
Core Technologies
Modular Prompt Chain Architecture
Traditional AI prompting is brittle — one change breaks everything. Our Modular Prompt Chain architecture decomposes complex AI tasks into independent, testable, reusable modules.
The pipeline flows from data ingestion and preprocessing through domain-specific primary analysis, quality validation, cross-reference and synthesis, to delivery-ready outputs in target formats — scripts, reports, dashboards. Each module has defined inputs, outputs, and quality gates enabling parallel processing and incremental improvement without full system rebuilds.
Claim Ledger — Fact-Checking at Scale
AI-generated content requires verification. Our Claim Ledger system creates an auditable chain of evidence for every factual claim in AI outputs:
- Source Reliability Grading: Distinguishes primary official sources, verified secondary sources, and background references
- Claim Traceability: Every output sentence linked to source documents
- Contradiction Detection: Automated flagging of conflicting claims across sources
- Human Review Queue: Prioritized flagging of low-confidence claims for editorial review
Neutral Tone Enforcement Engine
For public sector and media deployments, political and ideological neutrality is non-negotiable. Our Neutral Tone Engine applies:
- Multi-dimensional sentiment analysis to detect political lean, emotional bias, and framing effects
- Rewriting suggestions to neutralize biased language
- Audit logs documenting all neutralization decisions for editorial transparency
Data Pipeline Infrastructure
Reliable AI requires reliable data. We build end-to-end pipelines from raw data sources to AI-ready datasets:
- ETL pipeline design and implementation
- Real-time and batch processing architectures
- Data quality monitoring and alerting
- Vector database integration for semantic search
- API gateway design for multi-system integration
Proven in Production
Our infrastructure has been validated in live broadcast environments, including the KBS Jeju 2026 Local Election AI analysis system — meeting the stringent fact-checking and neutrality requirements of public broadcasting standards.
Build AI infrastructure that works. Contact us to discuss your requirements.
Deployment Architecture