How is RaOne-X more cost-efficient than other AI platforms?

RaOne-X owns its entire stack — trained models, inference servers, and orchestration layer — eliminating third-party API markups and passing savings directly to users.

What model sizes does RaOne-X offer?

RaOne-X offers four models: Micro (340M), Nano (1B), Max (7B), and Ultra (47B), all trained from scratch on cloud GPU infrastructure.

// LOW COST. HIGH INTELLIGENCE. • WE SCALE INTELLIGENCE, NOT COMPUTE.

Proprietary Foundation Models. Native Infrastructure. Uncompromised Intelligence.

RaOne-X Cyber Labs is an enterprise AI research company. We engineered RaOne-X — our proprietary hybrid foundation model family (340M to 47B) built from scratch and natively hosted on cloud GPU infrastructure. Accessible via RaOne-X Chat and RaOne-X API. Direct access. Pure efficiency. We scale intelligence, not compute.

FOR DEVELOPERS, RESEARCHERS, AND ENTERPRISES WHO REFUSE TO OVERPAY FOR INTELLIGENCE.

TRY RAONE-X CHAT GET API ACCESS

MODELS UNDER DEVELOPMENT

CHAT COMING SOON

API PRIVATE BETA

PHILOSOPHY SCALE INTELLIGENCE, NOT COMPUTE

COST LOWER

// RAONE-X FULL-STACK SUITE

Nine Core Capabilities Built-In.

001 / THE MODEL FAMILY

Proprietary. Trained From Scratch.

Micro 340M to Ultra 47B — four tiers of proprietary hybrid architecture, trained and owned by us. Not a fine-tune. Not a distillation. Every weight ours. Every inference on our hardware. 1M+ token context across the full family.

Proprietary Models Under Development 1M+ Context

002 / RAONE-X CHAT

Our Models. Your Conversations.

RaOne-X Chat is the native interface to our model family — built the way a chat platform should be when you own the models underneath. No throttling. No waitlists. Powered by Ultra 47B at a cost you won't believe.

Chat Platform Ultra 47B Coming Soon

003 / RAONE-X API

Build on Models You Can Actually Afford.

One API. Four model tiers. Route by task — Micro for triage, Nano for parallel workloads, Max for vision and code, Ultra for complex reasoning. Pay for what you use at an ultra-efficient cost per token with dedicated throughput. Standard interface. Drop-in ready.

Developer API 4 Model Tiers Private Beta

004 / SUPERVISOR ORCHESTRATION

Autonomous Agent Intelligence at Scale.

The Supervisor plans, dispatches, reflects, and audits — 64 concurrent sub-agents under one governance layer. Every tool call signed. Every output audited. No silent failures. No state drift.

Supervisor Engine 64 Agents Audit Ledger

005 / XYLO DASHBOARD

Real-Time Swarm Command Center.

WebSocket-native monitoring for your entire agent swarm. 100+ concurrent agent streams, zero frame drop, signed live state on every event. You see exactly what every agent is doing, right now.

WebSocket Live State Swarm Monitor

006 / XYLO CLAW CLI

Intelligence in Your Terminal.

Xylo Claw brings the full agent stack to the command line. Domain verification across code, research, finance, content, and data. Every output scored before it enters your workflow. Fully local. Zero browser required.

CLI Agent Verified Output Terminal-Native

007 / VDF PIPELINE

Build the Data That Trains the Next Generation.

Verified Dataset Factory closes the intelligence loop — capture UI interactions, extract bounding coordinates, SigLIP-2 encode, validate, and export training triads. The pipeline that feeds our next model release.

Dataset Factory SigLIP-2 VLM Pipeline

008 / AIR-GAPPED DEPLOYMENT

For Environments That Can't Go to the Cloud.

The entire RaOne-X stack — models, memory, orchestration — deploys on your hardware with zero external calls. No telemetry. No vendor lock-in. Nation-state deployments demand nothing less.

Air-Gapped Zero Telemetry On-Premise

009 / GRAPHRAG INTELLIGENCE MEMORY

Context That Compounds Over Time.

GraphRAG preserves entities, timelines, and decisions across every session. ContextRouter prevents token overflow while maintaining full continuity. Your intelligence builds — not resets — with every conversation.

GraphRAG ContextRouter Persistent Memory

// REPOSITORY ARCHITECTURE

Explore the RaOne-X Codebase.

Inspect our LLM routing engine, autonomous agent matrix, Xylo dashboard core, and VDF DataOps pipeline.

~/raone-x-ai-workforce-os

FILE TREE

📄 LLM_ROUTING.md

📄 RAONE_CHAT.md

📄 API_REFERENCE.md

📄 SUPERVISOR.md

📄 VDF_PIPELINE.md

📄 raone-x.config.ts

LLM_ROUTING.md

# LLM_ROUTING.md — RaOne-X Hybrid Architecture Model Family

RaOne-X is powered by our proprietary hybrid architecture model family (340M to 47B parameters). All models utilize a unified hybrid MoE/attention design engineered for 1M+ token long-context windows and ultra cost-effective enterprise inference.

## Proprietary RaOne-X Hybrid Model Tiers
- **RaOne-X Ultra 47B**: Flagship hybrid supervisor model with 1M+ long-context window for nation-state grade planning, reflection loops, and swarm orchestration.
- **RaOne-X Max 7B**: High-capacity multi-modal vision and complex code synthesis engine optimized for high-throughput hybrid execution.
- **RaOne-X Nano 1B**: Lightweight, high-concurrency sub-agent worker model designed for parallel execution with minimal RAM footprint and near-zero token cost.
- **RaOne-X Micro 340M**: Ultra-fast micro router for real-time token budgeting, zero-latency signal filtering, and instant event dispatching.

## Context & Cost-Effective Hybrid Architecture
- **Cost Efficiency**: Hybrid MoE gating achieves lower inference cost compared to dense models.
- **100% Air-Gapped**: Native local deployment with zero external API fees or external dependencies.

// FREQUENTLY ASKED QUESTIONS

Frequently Asked Questions.

Clear answers regarding RaOne-X deployment and architecture.

We trained our foundation models from scratch and operate on cloud GPU infrastructure — maintaining complete end-to-end control of our stack. When you call the RaOne-X API or use RaOne-X Chat, you access our models directly with no intermediary markup. Pure efficiency. Zero markup. Our proprietary architecture operates at lower compute cost per token.

Yes. RaOne-X Chat and API are powered entirely by our proprietary foundation models — hosted on cloud GPU infrastructure. We maintain complete end-to-end ownership of our model weights, inference pipeline, and enterprise platform software.

Yes. The RaOne-X API follows standard interface conventions — minimal migration effort from any existing setup. Four model tiers let you route by cost and capability. API access is included with early access.

Proprietary Foundation Models. Native Infrastructure. Uncompromised Intelligence.

End-to-End Intelligence. Built From Scratch.