PLATFORM · CONTROL PLANE

From sprawl to
foundation.

Intelligent infrastructure for agents.

Every developer interaction governed by one control plane: eight capability pillars on a shared policy layer.

99.9%
Uptime SLA
<200ms
Average latency
40%
Cost savings, typical
Moring Control Plane — developers and AI coding clients route through eight governance pillars (identity, routing, budgets, guardrails, context, evals, insights, SDLC) down to model and tool providers; red signal dots flow down the connectors.
Architecture

One AI layer. Your existing cloud underneath.

The moring Platform deploys on top of the cloud infrastructure you already operate. We add the agentic AI capabilities your team needs without disrupting what already works — Kubernetes, observability, CI/CD, IaC, your existing security and compliance posture all stay.

Layer 03 · AI Solutions

Persona suites that ship outcomes, scoped per customer.

AI-DLC · engineering AI Ops · operations Finance · year 2 CS & Service · year 2

Layer 02 · moring Platform

Ten composable primitives. Start with one. Add as you grow.

RAG PipelinesAI GatewayObservabilityMCP ServersGPU Optimization Model ServingModel PerfSecurityCostEvals

Layer 01 · Your existing cloud

Kubernetes · CI/CD · IaC · your security & compliance — untouched.

AWS Azure GCP On-premises
Core components · ten primitives

Everything you need to build & run AI.

Each component is production-grade on its own. Together they form the most complete infrastructure for enterprise agentic AI. Start with one. Compose the rest as you scale.

Data

RAG Pipelines

End-to-end retrieval with advanced chunking, embedding, and retrieval. Multi-modal docs and custom knowledge bases.

Routing

AI Gateway

Unified model routing. Intelligent load balancing, fallback, rate limiting, and cost tracking across providers.

Monitoring

Agent Observability

Trace every decision, monitor latency, track token usage, detect anomalies in real time.

Integration

Hosted MCP Servers

Managed MCP servers that connect agents to enterprise tools, APIs, and data with granular access control.

Compute

GPU Optimization

Intelligent GPU scheduling and allocation. Maximize utilization, minimize inference cost across workloads.

Inference

Model Serving

High-performance serving with auto-scaling, batching, caching. Custom models, fine-tuned variants, pipelines.

Optimization

Model Performance

Continuous evaluation, A/B testing, automatic prompt optimization. Accuracy, latency, cost per version.

Security

AI Security & Compliance

Data encryption, PII detection, prompt-injection prevention, audit logging for regulatory compliance.

FinOps

Cost Optimization

Real-time cost tracking across all AI operations. Set budgets, get alerts, auto-route to cost-effective models.

Testing

Evaluation Suite

Comprehensive framework for testing agent behavior, accuracy, safety, and reliability before production.

01 · Deploy on your cloud

Your infrastructure. Our AI layer. Full control.

The platform runs on the cloud you already operate — AWS, Azure, GCP, or on-prem. Your data never leaves your environment. Your keys, your perimeter, your audit trail.

  • Multi-cloud and hybrid deployment out of the box.
  • Zero data exfiltration — everything stays inside your VPC.
  • Kubernetes-native with Helm charts and Terraform modules.
  • SOC 2, ISO 27001, HIPAA compliant infrastructure patterns.
Deployment footprint · single tenant
cloudyour AWS · ap-southeast-2
clusterEKS · 3 AZ · private subnets
data planeyour S3, your KMS keys
identityyour IAM, SSO, SCIM
audityour CloudTrail · your SIEM
data exitnever
Helm + Terraform · runbook on day 14
02 · Composable by design

Start with one component. Expand as you grow.

No big-bang deployment. Each module works independently and integrates with your existing observability, CI/CD, and security tooling.

  • Incremental adoption — start small, scale fast.
  • Works with your stack — existing observability and CI/CD tools.
  • API-first design with comprehensive SDKs.
  • Each component production-ready on its own.
Composition example · phased rollout
phase 1AI Gateway · cost attribution
phase 2+ Observability · evals
phase 3+ MCP servers · RAG
phase 4+ Security · injection & PII
phase 5+ Self-healing automation
You decide the pace. No forced sequence.
One platform · powers both solutions

The same primitives ship AI-DLC and AI Ops.

Whichever solution you start with, you're standing on the same infrastructure. Year-two business agents amortize on the same gateway, the same observability, the same security layer. Build once, deploy many.

AI-DLC

AI-DLC for engineering.

Governed agentic SDLC. Per-PR cost attribution. Failure drill. 5-engineer case study. Same components, scoped to engineering.

Explore AI-DLC →
AI Ops

AI Ops for operations.

Event correlation. Topology-aware RCA. Predictive ops. Automated remediation. Same components, applied to operations.

Explore AI Ops →
Future suites

Finance · Customer ops.

Year-two persona suites ship on the same platform. The substrate amortizes — the second agent costs less than the first.

See the roadmap →
moring platform mark Ready to build on moring AI?

See how the platform accelerates your AI initiatives.

A 30-minute AI Discovery workshop gets you a baseline metric, an architecture sketch against your stack, and a yes/no on outcome pricing — before anyone signs anything.