Stack Foundation
Core infrastructure layer — vector databases, embedding pipelines, model registry and observability baseline for up to three foundation models.
From SGD 18,000 / pilot
Layered AI stack · Singapore
Layer by layer. Intelligence that stacks.
CognitionLayer architects multi-tier AI systems — from foundation model layers and RAG platforms to governance and observability — so teams across Changi Business Park and APAC can deploy intelligence that scales without collapsing under its own complexity.
Application & UX Layer
Orchestration & Agent Layer
RAG & Knowledge Layer
Foundation Model Layer
Infrastructure & Data Layer
Active stack deployments47 layers governed
5Core stack tiers per deployment
12 wksMedian time-to-first RAG layer
99.4%Layer uptime at handover
SGDTransparent Singapore pricing
Stack intelligence
Every layer documented, every tier governed
We treat AI architecture as a stack — not a monolith. Each layer has clear boundaries, contracts and observability so your team can evolve models, swap providers and add capabilities without rebuilding from scratch.
- Layer 01 Infrastructure & data foundations with vector stores and pipelines
- Layer 02 Foundation model routing, fine-tuning and evaluation harnesses
- Layer 03 RAG retrieval, chunking strategies and knowledge graph overlays
- Layer 04 Agent orchestration, tool use and workflow automation
- Layer 05 Application UX, guardrails and human-in-the-loop interfaces
Layer packages
Four layers to accelerate your AI stack
Outcome-focused layer packages, each scoped to your stack and delivered by senior CognitionLayer architects from our Ayer Rajah Crescent studio.
RAG Platform
Retrieval-augmented generation layer with chunking, hybrid search, reranking and evaluation dashboards your team can iterate on.
From SGD 32,000 / build
Agent Orchestration
Multi-agent workflow layer with tool routing, memory management and guardrails for production-grade autonomous tasks.
From SGD 58,000 / platform
Enterprise Stack
Full five-tier AI stack with layer governance, compliance controls, multi-region deployment and managed platform maintenance.
From SGD 165,000 / programme
AI stack lexicon
The language of layered intelligence
Key terms we use when architecting stacks for Singapore enterprises — plain language, precise meaning.
- Foundation Layer
- The base tier hosting LLMs, embedding models and inference endpoints — routed, versioned and evaluated independently of application logic.
- RAG Layer
- Retrieval-augmented generation tier that connects knowledge bases to models via chunking, vector search and context assembly pipelines.
- Orchestration Layer
- Agent and workflow tier managing tool calls, multi-step reasoning chains and human-in-the-loop checkpoints across stack boundaries.
- Layer Contract
- Defined API boundary between stack tiers — input schemas, output formats, latency SLAs and fallback behaviour documented and tested.
- Stack Governance
- Policies, audit trails and access controls applied per layer — model usage quotas, data residency rules and PDPA-aligned retention.
- Layer Peel
- Our methodology for isolating and upgrading a single tier without disrupting the full stack — swap models, add RAG or extend agents independently.
Who we stack for
Layered AI for every scale
Whether you are a regulated enterprise, a growing SMB or an education institution — we scope the right number of layers for your maturity and budget.
Regulated & multi-region stacks
Full five-tier deployments with layer governance, compliance audit trails and managed maintenance across APAC data centres.
- Multi-model routing & failover
- PDPA-aligned layer governance
- 24/7 stack monitoring
- Vendor-agnostic architecture
Focused two- to three-layer builds
RAG platform plus foundation layer — production-ready in weeks, not months, with clear SGD pricing and handover documentation.
- Foundation + RAG in 12 weeks
- Pre-built evaluation harnesses
- Self-service layer dashboards
- Scalable to full stack later
Teaching stacks & research layers
Sandboxed AI stacks for universities and training providers — isolated tiers for experimentation with production-grade governance.
- Isolated dev / prod layers
- Student-safe guardrails
- Curriculum-aligned tooling
- Grant-friendly SGD pricing
Layer pipeline
From discovery to governed production
01
Stack Discovery
Map existing models, data sources and integration points across your current architecture.
02
Layer Design
Define tier boundaries, layer contracts and governance policies for each stack level.
03
Build & Integrate
Deploy foundation, RAG and orchestration layers with automated testing at every boundary.
04
Evaluate & Peel
Benchmark each layer independently — upgrade models or add tiers without full rebuilds.
05
Govern & Maintain
Ongoing layer monitoring, compliance reviews and platform maintenance under SLA.
Client voices
Teams that stacked clarity from complexity
CognitionLayer peeled our monolithic chatbot into five clean layers. We swapped the foundation model in a week without touching RAG or the frontend — that alone saved us two months.
MTMei TanCTO, Changi logistics platform
Their RAG layer shipped with evaluation dashboards we actually use. Layer governance made our PDPA audit straightforward — every data flow documented per tier.
DPDavid PrasadHead of AI, Ayer Rajah fintech
We went from a single OpenAI wrapper to a governed four-layer stack in fourteen weeks. Platform maintenance keeps our layers healthy while we focus on product.
KLKaren LimVP Engineering, One-North SaaS
Ready to stack your intelligence layer by layer?
Book a stack discovery session and see a working layer pilot scoped to your architecture — with clear SGD pricing and a 12-week RAG target.
Stack your intelligence
Cloud & platform partners
Layer-agnostic across leading platforms
We architect stacks that run on your preferred cloud — no vendor lock-in at any tier.
AWS Bedrock
Azure OpenAI
Google Vertex AI
Anthropic
OpenAI
Pinecone
Weaviate
LangChain