Service
Intelligent Systems Architecture
We design the composable architecture behind enterprise AI, connecting data, models, retrieval, and orchestration into reliable platforms.
Architecture focus
- Reference architectures for RAG, agent, and workflow platforms.
- Data pipelines, governance layers, and retrieval design.
- Model orchestration, monitoring, and evaluation design.
- Security, reliability, and cost control baked in.
Outcomes
- Enterprise-grade architecture documentation and diagrams.
- Implementation-ready platform blueprints.
- Alignment between engineering, data, and security teams.
Reference architecture elements
- Data foundations and retrieval layers for enterprise knowledge.
- Model orchestration, routing, and evaluation pipelines.
- Security, privacy, and compliance controls embedded by design.
- Observability for latency, cost, and hallucination risk.
Industries we support
- Financial services and regulated enterprise environments.
- Healthcare and life sciences knowledge systems.
- Industrial, energy, and infrastructure operators.
- Professional services and advisory platforms.
Intelligent systems architecture FAQ
Do you work with existing stacks?
Yes. We design around your current cloud, data, and security constraints to avoid unnecessary migration.
Is this only for GenAI?
No. Our architecture work covers retrieval, workflow, analytics, and traditional ML systems as well.
What does a deliverable look like?
You receive diagrams, system flows, and implementation ready architecture documentation.