GPT-5.5 Pro
OpenAI
premium reasoning
score 98
AI routing + GPU capacity
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
latency
1180ms
credits
0.412
context
1.1M
API
/v1/chat
ZDR
passed
GPU
ready
GPU + Token traffic
simulatedrolling 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
multimodal fast
score 94
Realtime route log
streamingroute
0.184 credits
aurona/auto selected Claude Sonnet for code review
policy
ZDR
zero retention passed for enterprise workspace
Who Aurona is for
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
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.
AI Token and enterprise customers
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.
Investors and candidates
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.
Company thesis
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.
Platform map
Aurona brings broad model access together with token credits, routing intelligence, application distribution, enterprise controls, and GPU-backed compute capacity.
Platform
Platform
The control layer connecting enterprise demand, model/API routes, token credits, and GPU supply.
Models
Models
A provider-aware catalog for frontier, open-weight, multimodal, and dedicated AI routes.
Fusion
Fusion
Multi-model panel, judge analysis, fallback, provider controls, and token settlement.
Chat
Chat
A hands-on playground for model comparison, route policy, credit estimates, and exportable API settings.
Rankings
Rankings
Usage, spend, benchmark, latency, app, and GPU-readiness rankings for route selection.
Apps
Apps
An AI app marketplace with installs, private catalogs, route meters, logs, and builder settlement.
Enterprise
Enterprise
Govern model access, token spend, data policy, observability, procurement, and dedicated routes.
Compute Partners
Compute Partners
A global GPU, serverless inference, and bare metal supply network for regional AI demand.
Network
Network
Aurona's market thesis, demand-supply flywheel, and compute coordination architecture.
Pricing
Pricing
Credits, Fusion orchestration, enterprise governance, and GPU capacity pricing.
Docs
Docs
API reference for models, Fusion, credits, provider keys, apps, MCP, CLI setup, webhooks, and SDKs.
Company
Company
The vision, operating principles, careers narrative, and investor-facing company story.
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
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
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
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
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
Aurona Fusion combines model choice, provider health, GPU capacity, token cost, and enterprise policy into routes your apps can call by intent.
aurona/fusion
High-confidence decisions and research
fusion-code
Repository agents, migrations, review
fusion-private
Enterprise data and governed routes
aurona/auto
Default production traffic
Chat
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
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
Swap the base URL, choose an Aurona route, and start sending production traffic through model, token, and compute controls.
TypeScript
/v1/chat/completionsconst 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
Modern model APIs made access simple. Aurona extends that foundation into a commercial token layer for applications, providers, and GPU-backed inference capacity.
Connect once and route across frontier, open-weight, multimodal, and private models through a single API surface.
Issue usage credits, set budgets, separate environments, track spend, and settle model or compute costs from one wallet.
Route around outages, capacity limits, region constraints, price changes, and model deprecations without rewriting apps.
Choose serverless, preferred provider, reserved, dedicated, or regional endpoints based on latency, queue depth, policy, and budget.
Forecast model, Fusion, app, fallback, provider-key, broadcast, and GPU lane credits before approving a route change.
Control which providers can receive prompts by customer, region, model class, data sensitivity, or enterprise policy.
Attach serverless pools, GPU clusters, dedicated endpoints, and partner compute supply to the same token settlement layer.
Let AI applications measure usage, share revenue, manage customers, and grow on top of the Aurona token network.
Compute partners
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.
8-GPU bare metal nodes and private clusters
H100/H200/B200/GB200-ready and L40S capacity
100G/200G/400G network options
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
A developer-friendly path from free testing to token credits, annual commitments, dedicated routes, and enterprise procurement.
Developer
For prototypes, agents, and early API integration.
Builder
For AI-native teams shipping production traffic.
Growth
For apps that need margin control and predictable volume.
Enterprise
For organizations that need governance and capacity.
Enterprise
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
Aurona.ai
API
OpenAI-compatible
Billing
AI Token credits
Capacity
GPU-backed routes