D
Data Engineering & AI Integration
Build the data and technical foundations required for useful, reliable AI applications.
Services
- Data architecture and integration
- Enterprise knowledge search and retrieval-augmented generation
- AI application and API development
- Integration with existing business systems
- Data quality and lineage improvements
- Model evaluation and performance monitoring
01The business problem
AI initiatives stall when data is fragmented, poorly documented, or locked in legacy systems — and when prototypes cannot connect to the tools people actually use.
02Our solution
Data architecture, pipelines, retrieval systems, and APIs that make enterprise data usable for AI and connect solutions securely to existing business systems.
03Practical applications
- Search across policies, contracts, and technical documents
- Integration with ERP, EHR, CRM, and operational systems
- Data-quality monitoring and lineage
- Evaluation pipelines for models in production
04What we measure
- Data availability and quality scores
- Retrieval accuracy and answer relevance
- Integration reliability and latency
- Time to onboard a new data source