Enterprise AI Platform Engineering
INNOQUO
We design, build, and operate production-grade AI platforms for regulated enterprises.
The problem
AI is easy. Running it in production is hard.
Most organizations can prototype with LLMs. Few can operate them reliably — with security, observability, cost control, and governance.
What we do
Production AI platforms — end to end.
Architecture, infrastructure, security, operations. One team that has shipped and operated enterprise AI at scale.
About INNOQUO →Research
Engineering Papers
INNOQUO Research
v1.0
32
pages
Production-Grade RAG Blueprint
Embedding strategy, hybrid search, reranking, and evaluation loops for enterprise retrieval at scale.
INNOQUO Research
v1.0
28
pages
AI Gateway Security Patterns
Prompt injection controls, tool governance, and audit trails for multi-model enterprise gateways.
Architectures
Reference Architectures
Kubernetes AI Inference Platform
GPU scheduling, vLLM serving, autoscaling, and observability for production LLM workloads on EKS.
Enterprise Bedrock Landing Zone
Multi-account AWS layout for Bedrock with PrivateLink, KMS, and model routing for regulated workloads.
Get help
Architecture Review
90 Minutes — independent review by senior engineers
Request an Architecture Review