Two solutions · one platform · bespoke

We don't sell a product.
We ship the outcome.

moring builds two distinct AI solutions for enterprise customers. Each is bespoke — scoped to your architecture, your data, your regulatory environment. Both run on the same underlying moring Platform, deployed inside your cloud, with your team owning the source at handoff.

Requests Policy & Context Telemetry
Plan
Architecture & design chats opus, generous budget
Build / Reflector
Architecture Haiku
Reflector Sonnet
Test Gen
Coverage targets, style-guide injection
PR Review
IP / license firewall, AI-rationale on PRs
Prod Incident
Runbook context, fast lane, audit trail
AI Coding Clients
Claude CodeTerminal agent
CursorIDE
CodexCLI
IDE / PluginsVS Code, JetBrains
Automated agentsMCP clients
moring Control Plane Foundational layer
Every dev interaction lands here — 8 capability pillars on one governed substrate
Shared substrate — one policy & data layer beneath every pillar
Per-tenant isolation BYOK Full audit trail Data residency OAuth / on-behalf-of
Engineering

AI-DLC · governed agentic SDLC

For CTOs, VPs of Engineering, and platform leads scaling agentic coding past the Copilot plateau. The substrate under your engineers' IDE so Claude Code, Cursor, or your internal runtime run governed, attributed, and audited.

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Operations

AI Ops · autonomous operational brain

For CIOs, VPs of Infrastructure, and heads of SRE running mission-critical systems. The intelligent layer above your existing observability stack — Dynatrace, ELK, SolarWinds, OEM, CMDB, Jira — that correlates, predicts, and remediates across silos.

Explore AI Ops
The moring Platform

One substrate underneath both solutions.

Every moring engagement runs on the same foundation. Two layers: an AI Solutions Layer where the persona-specific workflows live, and an AI Platform Layer that provides observability, governance, security, and gateway services across everything.

Explore the platform

AI Solutions Layer

The persona-specific suites that ship outcomes. Bespoke per customer, deployed inside your environment, owned by your team.

AI-DLC suite AI Ops suite Finance suite CS suite

AI Platform Layer

Shared infrastructure for every agentic solution. Built once, applied everywhere — same governance, same audit lake, same cost gateway.

Observability · traces · evals Governance · policy · audit Security · secrets · DLP AI Gateway · routing · cost
Why bespoke

Generic AI doesn't survive an enterprise architecture review.

Customers usually arrive after a generic AI tool failed compliance or stalled in evaluation. Each moring engagement is scoped to your stack — your regulators, your audit requirements, your existing observability or development tooling — and shipped as a system you own.

01 · Scoped to your architecture

Your cloud, your stack, your perimeter.

AWS, Azure, GCP, or on-prem. Dynatrace, ELK, ServiceNow, OpenShift, Bedrock — whatever you already operate. moring composes on top.

02 · Outcome-priced

Fee tied to a named, measured outcome.

Baseline first. Verify second. Bill third. Not effort, not hours, not seats. If the outcome doesn't ship, the fee doesn't trigger.

03 · Knowledge transfer is the deliverable

Your team owns the system at handoff.

Source, runbooks, evals, decision logs — all yours. We're shipping a substrate and handing you the keys. No ongoing vendor lock-in unless you choose ops support.

The number · year-one impact

One foundation. Many measurable outcomes.

Year-one P&L impact for a 200-engineer / multi-domain operations rollout. Floor defensible even if individual levers underperform — the platform amortizes across both solutions.

$10–25M
Y1 P&L · across both solutions
Downside floor: AI-DLC cost lever alone (gateway + caching + tier routing) returns 12–16× ROI on the pilot. Every additional lever adds upside.
Outcomes stack — AI-DLC cost & productivity, AI Ops MTTR + automation, predictive ops, SME productivity, and audit & compliance readiness summing to year-one P&L impact
Get started

Two solutions. One platform.
Bespoke for your enterprise.

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.