AI • Cloud • Architecture • Engineering

Intelligence for the systems you already run.

Coralmatrix helps teams apply AI, ship fullstack products, modernize cloud platforms, and optimize cost with a plan you can run. Work is led at architect level.

  • Architect-level delivery, not a slide layer
  • Enterprise API, cloud, and integration programs
  • AI enablement
AI
ML
Cloud
Data
APIs
RAG
LLMs
Security
DevOps
Apigee
Architecture
MuleSoft
Migrate
K8s
Integrate
Search
Observe
Build
Ship
Cost
Automate
Cutover
Coralmatrix
Capabilities

Deep engineering. Practical outcomes.

From an AI proof of concept to a production platform move, we focus on solutions that can be operated, measured, and scaled.

01
AI

Applied AI

Analyze the problem, then build smart AI features: LLM apps, RAG, agents, evals, and production architecture.

02
ML

Machine Learning

Model pipelines, inference APIs, monitoring, and the path from notebook to owner.

03
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Fullstack development

Product interfaces, APIs, and data paths. One team from the UX to the production infrastructure.

04

Cloud architecture

Landing zones, Kubernetes, APIs, data systems, reliability, and migration strategy.

05

Integration

Connect systems, APIs, and data flows so work does not live in one-off glue and inboxes.

06

Platform modernization

API gateways and integration moves, including Apigee to MuleSoft, with a rehearsed cutover.

07
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Cost optimization

We evaluate spend, then deliver a comprehensive plan to optimize cost, with owners and a sequence you can run.

Proof

Enterprise work, without naming the estate.

Buyers want validation. We keep company names off the site. What we can show is the shape of the programs: cutovers you can rehearse, cost plans with owners, and AI features that ship with an operator.

Rehearsed cutovers API platform moves with dual-run, traffic shift, and a written backout. The cutover window is something you practice, not a Friday-night hope.
Cost plans that land Cloud spend reviews that end in a sequenced plan: what to resize, retire, or change in the architecture so the savings hold.
AI with an owner Smart AI features analyzed, built, evaluated, and handed to the team that will run them on Monday.

API platform

Apigee to MuleSoft, enterprise estate

Inventory of proxies, products, and policies. Mapping onto the target. Dual-run, then switch. The program used Migration Agent so the move was software, not a binder.

Cloud

Multi-account spend, then a plan

Usage and architecture review across the estate. A comprehensive cost plan with owners, savings, and a sequence the platform team could run without us in the room.

Applied AI

AI feature shipped to production

Use-case analysis, then a smart AI feature with evals, an inference path, and a runbook. The notebook was not the deliverable.

Stack we work in

  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Java
  • Spring Boot
  • React
  • Next.js
  • NestJS
  • Apigee
  • MuleSoft
  • OpenAPI
  • Terraform
  • Python
  • RAG
  • LLMs
Practice

Architect-level people do the work.

Specialized consulting lives or dies on who is actually in the repo. Coralmatrix engagements are led at architect level: cloud, APIs, integration, fullstack, and production AI. Certifications and delivery sit with the people who still write the runbook. We do not put names on this page.

How we work →
  • Cloud and platform architecture Landing zones, Kubernetes, identity, and the runtime for APIs and data.
  • API and integration programs Apigee, MuleSoft, and the contracts between systems.
  • Production AI and fullstack Features with evals, and product surfaces that reach the infrastructure.
Community & client work

We contribute to open source. We move platforms for clients.

Coralmatrix contributes to open-source engineering. For client programs, Migration Agent handles APM-to-APM moves such as Apigee to MuleSoft, with mapping you can rehearse instead of a binder.

Discover

Inventory proxies, products, and policies.

Map

Translate intent onto the target platform.

Cut over

Dual-run, then switch with a backout.

Have a hard engineering problem?

Let's turn it into a clear architecture, a working prototype, or a production-ready system.

Start a conversation →