Aurona.ai

AI routing + GPU capacity

The Global AI Compute Network.

Aurona connects enterprise AI demand with leading models and global GPU capacity through one intelligent routing, credit, and governance layer.

Aurona Live Router

model mesh running

requests / min

38,600

active route

GPT-5.5 Pro

OpenAI · premium reasoning

score 98

latency

1180ms

credits

0.412

context

1.1M

API

/v1/chat

ZDR

passed

GPU

ready

GPU + Token traffic

simulated

rolling 60 seconds · 5s samples

Token throughput

94k/min

GPU utilization

81%

GPT-5.5 Pro

OpenAI

premium reasoning

score 98

Claude Opus 4.8

Anthropic

agent quality

score 96

Gemini 3.1 Pro Preview

Google

multimodal fast

score 94

Realtime route log

streaming

route

0.184 credits

aurona/auto selected Claude Sonnet for code review

policy

ZDR

zero retention passed for enterprise workspace

Who Aurona is for

Three audiences should understand Aurona within one minute.

Compute partners should see a serious demand channel, enterprise buyers should see a dependable AI infrastructure supplier, and investors or candidates should see a platform-scale company.

GPU investors and compute partners

A demand-side platform for global AI capacity.

Aurona is being built to aggregate model API traffic, enterprise private inference, AI app workloads, batch jobs, and regional demand into approved GPU and bare metal capacity lanes.

proof on the site

Regional demand planning, supplier DD intake, token-settled usage, and commercial paths from pilot lanes to strategic capacity partnerships.

Submit compute capacity

AI Token and enterprise customers

One supplier for model access, routing, credits, governance, and capacity.

Teams can begin with an OpenAI-compatible API, then add token credits, Fusion routing, app attribution, provider policy, spend controls, audit logs, and reserved inference lanes.

proof on the site

Workspace billing, credit ledgers, ZDR policy, BYOK provider vaults, route traces, cost simulation, and enterprise procurement surfaces.

Review enterprise controls

Investors and candidates

A fully independent AI infrastructure company with platform leverage.

Aurona sits at the intersection of enterprise AI demand, model and API ecosystems, tokenized usage accounting, governance, and global GPU supply orchestration.

proof on the site

The product surface spans models, Fusion routing, enterprise governance, compute partners, network intelligence, pricing, docs, and workspace control.

Read company thesis

Company thesis

Aurona.ai is building the intelligent coordination layer for the AI economy.

Aurona is fully independent. The company connects enterprise AI demand, model and API supply, token credit economics, and global GPU compute into one neutral infrastructure network.

Position

The Global AI Compute Network

Aurona is a fully independent company, brand, product system, roadmap, and commercial platform.

Core business

AI demand routing, model APIs, AI Token credits, enterprise controls, and GPU-backed inference capacity

This makes Aurona useful to both demand-side customers and supply-side compute partners.

Technical edge

Route intelligence plus commercial and capacity control

The platform does not stop at a model catalog; it links quality, cost, policy, observability, settlement, and compute supply.

Strategic direction

Become the intelligent coordination layer between global AI demand and global AI compute

As AI traffic grows, Aurona can help customers choose where work should run and help suppliers monetize approved capacity.

Demand

enterprise AI teams, app builders, agents, and model API traffic

Models

frontier, open-weight, multimodal, and private routes

Credits

AI Token wallets, budgets, attribution, and settlement

Supply

GPU cloud, bare metal, regional data center, and inference lanes

Network thesis

AI infrastructure is becoming a demand and compute coordination problem.

Developers no longer need just a model list. Enterprises need governance, finance needs spend clarity, and compute suppliers need qualified demand. Aurona is designed to connect these markets through routing, credits, and capacity intelligence.

Layer

Market problem

Aurona role

Enterprise AI demand

Teams need reliable model APIs, budgets, governance, privacy controls, and capacity for production AI systems.

Aurona gives customers one API and one commercial layer for models, Fusion, credits, and capacity.

Model and API ecosystem

Frontier, open-weight, multimodal, and private models keep changing in quality, cost, latency, and availability.

Aurona normalizes model access into route aliases, policy gates, rankings, and fallback logic.

Global GPU supply

GPU clouds, bare metal operators, AIDC providers, and regional data centers need durable demand and technical qualification.

Aurona evaluates capacity, maps it to routes, and settles approved usage through credits and partner agreements.

Operating system

A real platform needs measurable control surfaces.

Aurona should feel less like a model directory and more like the operating layer for AI demand, supply, policy, credits, and compute.

API surface

OpenAI-compatible

Developers can swap the base URL first, then adopt routes, credits, and policy controls.

Routing brain

Fusion + Auto

Choose a single best model or run a panel with judge analysis, service tiers, and fallback trace.

Commercial unit

AI credits

Meter model tokens, Fusion passes, media units, app usage, and GPU capacity in one ledger.

Supply layer

Compute network

Move high-volume workloads from public APIs into serverless, reserved, dedicated, or regional GPU inference capacity.

Operations layer

broadcast logs

Send route, fallback, credit, app, and capacity events into logs, webhooks, finance, and observability tools.

Console layer

workspace menus

Expose keys, credits, logs, provider vaults, labs, endpoints, app installs, and billing exports from one account surface.

Market standard to exceed

Match the best AI API platforms, then add tokenized compute.

The strongest competitors prove that developers want model choice, transparent usage, provider routing, enterprise controls, and app distribution. Aurona should keep those standards and add the AI Token, Fusion, and GPU settlement layer on top.

Market standard

Expected capability

Aurona upgrade

One API for many models

OpenAI-compatible endpoint and model catalog

Adds route aliases, Fusion panels, and private GPU lanes

Transparent model pricing

Per-model token prices and usage visibility

Adds credit wallet, budgets, app attribution, and settlement

Provider routing

Sort by price, throughput, latency, provider order, and fallback

Adds service tiers, policy gates, provider-key mode, and route trace

Public ranking feeds

Rank models by usage, tokens, spend, latency, language, tools, media, and tasks

Adds route score, AI Token spend share, app demand, GPU readiness, and capacity fit

Model quickstarts

Docs group text, vision, image, video, audio, embeddings, and tool-use examples

Adds Aurona route presets, credit forecasts, policy checks, and GPU lane fit

Management API

Admins automate keys, budgets, workspaces, routes, logs, and provider credentials

Adds AI Token ledgers, app settlement, route broadcasts, and capacity registry controls

Cost planning

Estimate route cost before production traffic changes

Adds credit simulator, budget keys, app margin, and GPU service-tier planning

Workspace control

Projects, keys, credits, usage logs, budgets, and invoices

Adds token settlement, app attribution, labs, provider vaults, and capacity routing

Policy rule engine

Rules can block, mask, warn, reroute, or hold traffic based on prompt, response, budget, provider, or region

Adds Aurona-native policy evidence, credit impact, app review, and route trace export

Credits and coupons

Self-serve routers expose balances, top-ups, activity, free routes, and paid plan transitions

Adds AI Token line items for model tokens, Fusion passes, app meters, endpoint tests, and partner capacity

Account console

Menus expose workspaces, API keys, credits, logs, labs, preferences, and activity

Adds billing exports, provider-vault state, endpoint health, app meters, route exports, and GPU lane state

Routing metadata

Responses can expose provider choice, fallback reason, latency, cost, policy, and tool support when enabled

Adds Aurona-native route evidence, policy actions, credit ledger events, endpoint health, and app/customer attribution

Usage export

Activity surfaces group requests, tokens, spend, model mix, key owner, workspace, and time window

Adds billing-ready exports for AI Token credits, coupons, Fusion, app meters, endpoint usage, and partner capacity

Enterprise governance

SSO, ZDR, audit logs, limits, and custom procurement

Adds AI Token ledger and capacity commitments

App ecosystem

Featured agents, app usage, and developer distribution

Adds revenue share, marketplace meters, and multi-party settlement

GPU-backed inference

Serverless endpoints, reserved capacity, and private deployments

Adds token credits, route aliases, and app demand aggregation

Inference control plane

GPU clouds expose serverless endpoints, dedicated endpoints, model hubs, quotas, storage, and usage dashboards

Adds Aurona-native routing demand, endpoint health, partner DD, regional capacity fit, and credit-funded lanes

Playground-to-production path

Inference consoles save prompt tests, parameter history, usage filters, and endpoint launch state

Adds Aurona-native route promotion, policy approval, credit forecast, and GPU lane selection

Inference capacity cloud

GPU providers sell GPU-hour infrastructure, managed clusters, containers, bare metal, and dedicated endpoints

Adds Aurona-native demand routing, endpoint settlement, and credit-funded capacity lanes

Edge inference network

New compute entrants emphasize faster site deployment, lower latency, and token production close to users

Adds Aurona-native regional route planning, capacity intake, and supplier qualification

Agent marketplace infrastructure

GPU-backed clouds package hosted or self-hosted agents with versioning, monitoring, usage analytics, and billing

Adds Aurona-native install meters, builder settlement, private catalogs, and route policy

Observability

Request logs, provider health, fallback events, and usage exports

Adds broadcastable route traces for finance, apps, operations, and enterprise review

Model catalog

Browse once. Route anywhere.

Aurona is designed for the modern AI API developer workflow: search models, compare capabilities, call one endpoint, and let routing handle price, uptime, policy, and capacity.

Model family

Provider supply

Best for

Route

Premium reasoning

OpenAI, Anthropic, Google

research, coding, agents

Fusion

Fast inference

Google, xAI, value providers

chat, support, realtime UX

Auto-fast

Open weight

Llama, Qwen, DeepSeek, Nemotron

cost control, private GPU lanes

Private

Multimodal

image, audio, video providers

creative apps and workflows

Capability

Provider-key routes

customer vault, approved fallback

BYOK migration, procurement, privacy

Hybrid

Sovereign routes

approved regional providers

regulated workloads, residency, fail-closed policy

Regional

Serverless GPU

shared pools, reserved lanes

agents, evals, batch, private endpoints

Compute

Fusion

Route by outcome, not by vendor.

Aurona Fusion combines model choice, provider health, GPU capacity, token cost, and enterprise policy into routes your apps can call by intent.

aurona/fusion

panel + judge + synthesis

High-confidence decisions and research

fusion-code

coding model panel

Repository agents, migrations, review

fusion-private

ZDR + private supply

Enterprise data and governed routes

aurona/auto

price + latency + policy

Default production traffic

Chat

A playground for models, routes, and token cost.

Test prompts, compare providers, inspect token credits, and move successful routes directly into production API calls.

Route

Auto

Credits

0.018

Policy

ZDR

User

Compare the best route for a code review agent.

Aurona

Running Claude Opus, Kimi Code, and DeepSeek through a code-aware judge.

System

Estimated token credits: 0.184. Policy: zero-retention route.

Rankings

Compare routes before your users feel them.

A ranking layer for model families, provider lanes, GPU-backed routes, and token economics helps teams choose the right default for each application.

Route

Score

Lane

Optimizes

openai/gpt-5.5-pro

98

Premium reasoning

quality, context, multimodal

anthropic/claude-opus-4.8

96

Agent quality

coding, tools, documents

google/gemini-3.1-pro-preview

94

Multimodal

image, file, audio, video

deepseek/deepseek-v4-flash

93

Value throughput

low cost, large context

aurona/sovereign-gpu

87

Regional capacity

private lane, audit, fail-closed

Docs

Quickstart with an OpenAI-compatible API.

Swap the base URL, choose an Aurona route, and start sending production traffic through model, token, and compute controls.

TypeScript

/v1/chat/completions
const response = await fetch(
  "https://api.aurona.ai/v1/chat/completions",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${AURONA_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      model: "aurona/auto",
      route: {
        optimize: ["price", "latency", "policy"]
      },
      messages: [{ role: "user", content: "Build an agent." }]
    })
  }
);

AI token credits

Billing, budgets, and settlement for AI usage.

Modern model APIs made access simple. Aurona extends that foundation into a commercial token layer for applications, providers, and GPU-backed inference capacity.

Unified model access

Connect once and route across frontier, open-weight, multimodal, and private models through a single API surface.

Token credit accounts

Issue usage credits, set budgets, separate environments, track spend, and settle model or compute costs from one wallet.

Provider fallback

Route around outages, capacity limits, region constraints, price changes, and model deprecations without rewriting apps.

Endpoint-aware routing

Choose serverless, preferred provider, reserved, dedicated, or regional endpoints based on latency, queue depth, policy, and budget.

Cost simulation

Forecast model, Fusion, app, fallback, provider-key, broadcast, and GPU lane credits before approving a route change.

Data policy routing

Control which providers can receive prompts by customer, region, model class, data sensitivity, or enterprise policy.

Compute orchestration

Attach serverless pools, GPU clusters, dedicated endpoints, and partner compute supply to the same token settlement layer.

App attribution

Let AI applications measure usage, share revenue, manage customers, and grow on top of the Aurona token network.

Compute partners

Global GPU and bare metal supply behind one API.

Aurona is seeking large-scale compute nodes across North America, Europe, Asia Pacific, Middle East, India, Latin America, and Australia to support AI API traffic, private inference, and enterprise capacity commitments.

01

8-GPU bare metal nodes and private clusters

02

H100/H200/B200/GB200-ready and L40S capacity

03

100G/200G/400G network options

04

Monthly commits, burst lanes, or revenue share

Where

US, Europe, Japan, Korea, Singapore, India, Middle East, Latin America

What

GPU bare metal, private clusters, reserved racks, burst pools

How

monthly commitments, hybrid usage, regional launch partner, token-settled usage

Pricing

Start with credits. Scale with commitments.

A developer-friendly path from free testing to token credits, annual commitments, dedicated routes, and enterprise procurement.

Developer

Free to start

For prototypes, agents, and early API integration.

  • API keys
  • model catalog
  • usage logs
  • community support

Builder

Token credits

For AI-native teams shipping production traffic.

  • auto-routing
  • budgets
  • fallback
  • credit top-ups

Growth

Committed credits

For apps that need margin control and predictable volume.

  • Fusion presets
  • app attribution
  • broadcast logs
  • priority lanes

Enterprise

Custom

For organizations that need governance and capacity.

  • SSO/SAML
  • data policies
  • SLAs
  • dedicated routes

Enterprise

Stop managing AI infrastructure complexity.

Aurona gives enterprise teams a single control plane for model access, token credits, provider policy, spend, observability, and compute capacity.

Too many provider contracts

One API, one credit account, unified reporting

Custom retry logic

Automatic failover between approved providers

Capacity and rate limits

Burst into Aurona-managed GPU-backed routes

Data retention concerns

Policy-based routing with zero-retention options

Model switching costs

Stable aliases, provider preferences, and fallbacks

Application network

Built for the next generation of AI apps.

Coding agents
AI search
Workflow automation
Creative tools
Customer support
Enterprise copilots

Aurona.ai

Build on the token network for AI applications, models, and compute.

API

OpenAI-compatible

Billing

AI Token credits

Capacity

GPU-backed routes