AI Layer & Systems Integration
Architecture without implementation is just a diagram. We design and build the AI integration layer that connects your knowledge graph to enterprise systems, LLM applications, and data pipelines. This is the hands-on engineering work that turns semantic infrastructure into working software - APIs, connectors, pipelines, and orchestration layers that deliver value to end users.
“Semantic Partners combines deep knowledge graph expertise with a persistent drive to solve even the hardest problems!”
Boris Shalumov
Director Strategic Solutions
Siemens
What's included
- Knowledge graph API design and development
- Semantic data pipeline engineering
- LLM integration and prompt orchestration
- Enterprise system connectors (SAP, Salesforce, etc.)
- Real-time and batch data synchronisation
Business impact
- Turn semantic infrastructure into working software
- Connect knowledge graphs to existing enterprise systems
- Build production-grade APIs and data pipelines
- Enable real-time AI applications with semantic grounding
- Reduce time-to-value for knowledge graph investments
Our process
A proven methodology refined across dozens of enterprise engagements.
Integration Assessment
Mapping your system landscape, identifying integration points, and designing the connector architecture.
API & Pipeline Design
Designing RESTful and GraphQL APIs, data transformation pipelines, and event-driven architectures.
Build & Connect
Engineering the integration layer - connectors, transformers, orchestrators, and monitoring infrastructure.
LLM Orchestration
Building the prompt pipelines, context injection layers, and response validation that connect LLMs to your knowledge graph.
Production & Handover
Deployment, documentation, operational runbooks, and team training for ongoing maintenance.
Frequently asked questions
Ready to get started?
Book a 30-minute consultation to discuss how ai layer & systems integration can accelerate your semantic technology programme.