INTRODUCING FLEET COMMAND ARMADA

Apple-native LLM training for your entire Mac fleet.

Fleet Command Armada is the flagship AI training platform developed by Molding Angel L.L.C., designed for businesses, creators, engineers, and visionaries who refuse to be limited by cloud costs, slow training cycles, or complicated infrastructure.

Armada transforms a fleet of M-Series Macs into a unified, high-performance trainer capable of running custom LLM workloads with unprecedented efficiency and simplicity — with no Python environments, no server racks, and no DevOps teams required. Built exclusively for Apple Silicon and powered by Apple’s MLX framework, Armada delivers the world’s first truly Apple-native LLM training experience.

  • Built solely for Apple Silicon and MLX to maximize on-device acceleration.
  • Designed for non-coders and innovators, enabling anyone to train specialized models without touching a terminal.
  • Orchestrates every Mac in your fleet, distributing tasks, data, and training runs from a single command center.
  • Keeps your data and models private — everything runs locally on your hardware.
  • Eliminates cloud training costs by turning the equipment you already own into a coordinated AI super-trainer.
  • Train your LLM Specifically on what you want!
Patent-Pending under Molding Angel L.L.C.
Fleet Command Core

Fleet Command

The command center of your entire AI fleet. Fleet Command intelligently allocates resources, balances workloads, monitors performance, and visualizes every stage of model training — giving you supercomputer-level control in a clean, Apple-native interface.

Fleet Command Satellite

Satellite Node Agent

A lightweight macOS worker that transforms each Mac Mini into a dedicated MLX training engine. Satellites receive tasks, execute accelerated workloads, and stream results back to Fleet Command with remarkable speed and reliability.

Fleet Command Translator

Translator

Translator converts everyday language into structured, optimized training operations. It bridges human intention with machine execution — allowing anyone to direct complex LLM training workflows without scripting or engineering knowledge.

Fleet Command LaunchPad

LaunchPad

LaunchPad is where your models come alive. Test responses, evaluate accuracy, compare iterations, and prepare custom LLMs for deployment — all from one streamlined, Apple-native interface.

Why Armada Changes Everything

Fleet Command Armada isn’t another cloud service or developer tool — it represents a fundamental shift in how custom LLMs can be trained, deployed, and owned. For the first time, individuals and businesses can produce powerful domain-specific models entirely on their own hardware.

Train Without the Cloud

Armada eliminates the overwhelming costs associated with cloud GPUs. Your Macs become your training cluster — fully owned, always available, and optimized for MLX.

Your Data Never Leaves Your Facility

Private training means your intellectual property, sensitive data, and proprietary workflows stay under your control at all times. No external servers. No third-party access.

A Supercomputer You Already Own

Fleet Command turns ordinary Macs into coordinated training engines, creating a scalable, quiet, cool-running LLM trainer right on your desk or in a small rack.

No DevOps. No Python Chaos.

Armada removes the entire stack of traditional ML infrastructure — no conda, no containers, no dependency conflicts. Just install, connect, and train.

Made for Innovators, Not Only Engineers

Whether you’re a founder, product visionary, subject-matter expert, or a small team with big ideas, Armada empowers you to train sophisticated models without needing a machine-learning background.

The First True Apple-Native Trainer

Built exclusively for MLX and the M-Series architecture, Armada takes full advantage of Apple Silicon’s unified memory and neural acceleration — setting a new standard for on-device AI training.

Armada represents a future where anyone can train their own AI — privately, affordably, and on hardware they already love. This is the beginning of Apple-native model creation.