AIOS is Nextriad's AI Operating System — a product built by Nextriad that serves as the infrastructure layer powering the Autonomous Revenue System (ARS). It provides multi-model routing across 6 LLMs, dedicated MCP servers for each ARS module, 44+ production connectors, agent orchestration via the PREV loop, enterprise governance controls, and multi-tenant architecture.

What is the PREV loop in AIOS?

PREV stands for Plan-Route-Execute-Verify — the core operational loop of AIOS. Every action in the ARS passes through this loop: Triad Plans the action, Routes it to the correct module and agent, Executes through the connected stack, and Verifies the outcome before feeding it back into the system.

How many LLM models does AIOS support?

AIOS currently routes across 6 LLM models: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta Llama, xAI Grok, and DeepSeek. The multi-model router selects the optimal model for each task based on capability, cost, and latency requirements.

AIOS · Nextriad Product

The AI Operating
System powering ARS.

AIOS is Nextriad's AI Operating System — the infrastructure product that runs the Autonomous Revenue System. Multi-model routing, MCP per module, 50+ agents, 44+ connectors, enterprise governance, and native AEO infrastructure.

Explore Nextriad ARS → Talk to Triad

Core Architecture

The PREV Loop.
Every action. Every module.

Every action in the ARS passes through AIOS's PREV loop — Plan, Route, Execute, Verify. No action is taken without this cycle. No outcome goes unlearned.

01 · Plan

Plan

Triad analyzes the signal, identifies the optimal action, selects the module, and constructs the execution plan — before any action is taken.

Signal classification

Module selection

Action construction

Resource allocation

02 · Route

Route

AIOS routes the planned action to the correct ARS module, the correct agent, and the correct connector — with governance controls applied at the routing layer.

Module routing

Agent assignment

Connector selection

Governance gate

03 · Execute

Execute

The agent executes the action through the connected stack — directly, without middleware, without manual handoff. Campaigns launch. Payments retry. Content publishes.

Direct stack execution

Multi-channel actions

Audit trail generation

Real-time monitoring

04 · Verify

Verify

Every outcome is verified against the expected result. Deviations trigger automatic adjustments. Successful patterns are reinforced across the system for future cycles.

Outcome verification

Model retraining signal

Cross-module feedback

Performance attribution

Infrastructure Layers

Enterprise-grade infrastructure
from day one.

AIOS is not a prototype. It is a production multi-tenant AI operating system deployed across Nextriad's own operations and client portfolio.

Multi-Model Routing

AIOS routes every task to the optimal LLM based on capability requirements, cost efficiency, and latency constraints — across 6 production models simultaneously.

GPT-4o for complex reasoning and generation

Claude for long-context and governance tasks

Gemini for multimodal and search tasks

Llama for cost-optimized high-volume tasks

Grok for real-time data and social signals

DeepSeek for specialized technical tasks

MCP per Module

Each ARS module runs on its own dedicated MCP server — isolated, versioned, and independently deployable. No shared infrastructure between modules means no single point of failure.

ars-recover-mcp · flowsight-mcp v1.0.3

media-trading-mcp · Production

commerce-mcp · Production

seo-intelligence-mcp · Production

flow-mcp · Production

cms-mcp · Production

Governance & Compliance

Enterprise-grade governance built into every action. Approval layers, audit trails, human-in-the-loop controls, and rollback capabilities — configured per module and per client.

Configurable approval thresholds per action type

Full immutable audit trail for every agent action

Human-in-the-loop controls at every decision layer

Rollback capability for any executed action

Multi-tenant data isolation — client A never sees client B

6 LLM Models in Production · Multi-model routing by AIOS

✦

OpenAI

GPT-4o

◈

Anthropic

Claude

Google

Gemini

▲

Model	Best For	Latency	Cost Tier
GPT-4o	Complex reasoning, structured output	Medium	High
Claude	Long context, nuanced analysis	Medium	High
Gemini	Multimodal tasks, Google integration	Fast	Medium
Llama	High-throughput, cost-sensitive tasks	Fast	Low
Grok	Real-time data, X/Twitter context	Fast	Medium
DeepSeek	Coding, technical documentation	Ultra-fast	Very Low

Connected to everything
you already run.

23 in production. 44 total. Every major e-commerce, analytics, finance, AI, infrastructure, and identity platform — connected via AIOS.

VTEX

Shopify

WooCommerce

GA4

Google Ads

Semrush

Supabase

GitHub

Linear

Vercel

xAI Grok

ExchangeHandles

View all 44 connectors →

Native AEO Infrastructure

Built for the
agent economy.

AIOS ships with native infrastructure for agent identity, trust verification, and MCP-based agent-to-agent communication. No competitor has this built-in.

Agent Identity Layer

ExchangeHandles

Verified, claimable handles for AI agents built into AIOS. When autonomous agents search for Nextriad ARS, they find a verified identity they can trust and interact with directly — no human mediation required. Production status: live.

Trust Verification Layer

AgentShield

Agent-to-agent trust protocol built into AIOS governance. Autonomous agents can verify Nextriad's identity, review capabilities, and activate modules — with cryptographic trust verification at every step. Production status: live.

The AI OperatingSystem powering ARS.

The PREV Loop.Every action. Every module.

Enterprise-grade infrastructurefrom day one.

Connected to everythingyou already run.

Built for theagent economy.

AIOS powers Nextriad ARS.Triad runs it all.

The AI Operating
System powering ARS.

The PREV Loop.
Every action. Every module.

Enterprise-grade infrastructure
from day one.

Connected to everything
you already run.

Built for the
agent economy.

AIOS powers Nextriad ARS.
Triad runs it all.