Industry: Software Engineering / AI (Internal Platform)
At a glance: MAEP (the myntiQ AI Engineering Platform) is a self-hosted platform built by MyntiQ Tech. It runs on a k3s cluster on the company’s own Dell PowerEdge R730 server. It combines Keycloak single sign-on, Gitea, Jenkins CI/CD, Langfuse LLM tracing, Claude models via AWS Bedrock, and ready-made project templates, so every client project starts with the same engineering conventions.
Overview
This case study covers MAEP, the myntiQ AI Engineering Platform. MAEP is the internal platform every MyntiQ Tech client project starts on. It runs on a k3s cluster on a Dell PowerEdge R730 server that MyntiQ Tech owns and operates. It brings source control, CI/CD, single sign-on, AI model access and observability onto infrastructure the team controls.
Business Problem
- Building AI systems for clients needs version control, CI/CD, single sign-on and visibility into every model call.
- Spreading these across a dozen SaaS tools gets messy, and client code and prompts end up in too many places.
- Starting each new project from an empty folder made it hard to apply the same engineering conventions every time.
How MyntiQ Tech Helped
- Single sign-on: Keycloak across every engineering tool.
- Source control and CI/CD: Gitea and Jenkins.
- LLM observability: Langfuse traces prompts, latency and cost on every model call.
- Model access: Claude models via AWS Bedrock, routed by task.
- Reproducible infrastructure: Terraform and Ansible.
- Project templates: template repos for Node/TypeScript, Python/FastAPI, React/Next.js, React Native and Angular. Each ships with linting, tests, a Jenkinsfile and an AGENTS.md file that tells AI coding assistants the team’s conventions.
Business Outcomes Delivered
- Client projects start from proven conventions instead of an empty folder.
- Code and prompts stay on infrastructure MyntiQ Tech controls.
- Every AI call can be observed from the first day of a project.
- Next on the roadmap: one-command developer onboarding.
Frequently Asked Questions
What is MAEP?
MAEP is the myntiQ AI Engineering Platform: MyntiQ Tech’s self-hosted platform for building AI and software systems. It brings single sign-on, source control, CI/CD, LLM tracing and model access together on infrastructure the company controls.
Why self-host an AI engineering platform?
Self-hosting keeps client code and prompts on infrastructure the team controls instead of spreading them across many SaaS tools. It also makes every AI call observable from day one.
How does MyntiQ Tech monitor LLM calls?
MyntiQ Tech traces prompts, latency and cost on model calls with Langfuse, the same way it monitors APIs.
What is AGENTS.md?
AGENTS.md is a file in each MyntiQ Tech template repo. It sets out the team’s coding conventions for AI coding assistants as well as for engineers.
Building an AI product and want an engineering partner with this foundation? Talk to MyntiQ Tech or browse more case studies.