Token Factory
Training, fine-tuning, and inference delivered as governed, metered model services through a single API. This is where power becomes product.
One API50+ modelsUsage-based billing
Power to intelligence infrastructure
Power in. Tokens out.
One accountable path from megawatts to production AI: modular data centers, elastic GPU cloud, and the TokenFactory platform.
3 MW modular AIDC / elastic GPU cloud / one API for every model
One accountable path
From megawatts to tokens, on one path
AI demand now grows faster than infrastructure delivery. GPUs are only one part of the challenge: production AI also needs suitable power, high-density cooling, networking, storage, approvals, security, and round-the-clock operations, all aligned to the same service date. Cooma closes the gap between announced capacity and capacity you can actually run.
GPU Cloud
Elastic and reserved GPU capacity with scheduling, storage, security, and 24/7 operations built in from day one.
On demandReserved clusters99.99% SLA
Modular AIDC
Factory-built 3 MW modules with direct liquid cooling and battery-backed power, deployed as single units or scaled into multi-module campuses.
3 MW modulesLiquid cooledGrid-tied
Each stage is accountable on its own, and to the layer above it: one contract, one service date, and acceptance built on measurable evidence.
Token Factory
One API.
Every model.
TokenFactory turns GPU capacity into production-grade model services: training, fine-tuning, evaluation, and inference, delivered as metered output rather than raw GPU rentals. One integration covers frontier, domestic, and multimodal models.
Complete coverageLow latencyProduction stabilitySecurity & controlUsage-based savings
Tokens here are AI inference output, not cryptocurrency.
POST/v1/chat/completionsROUTED AUTOMATICALLY
1{
2 "model": "gpt-5.6-sol",
3 "messages": [{ "role": "user", "content": "Summarize this contract." }],
4 "stream": true
5}- route decision in 12 ms, one primary provider with three fallbacks
- usage metered per token, billed to project-a1 at tier pricing
- response streamed, full call logged for audit
GPU Cloud
GPU capacity that is ready when you are
The Cooma GPU cloud turns AIDC capacity into consumable compute. Start on demand, reserve for persistent workloads, or isolate entirely within private deployment nodes.
On-demand GPU cloud
Launch training, inference, and batch jobs in minutes. Instances come with scheduling, storage, and networking preconfigured, and you pay only while they run.
Reserved & dedicated clusters
Guaranteed allocation for persistent workloads, with cluster, storage, and scheduling operated around your service levels.
Private deployment nodes
Isolated compute for regulated and sovereign requirements, where data stays local and residency is provable.
Elastic scaling
Concurrency follows demand, from quiet overnight batches to product-launch peaks, without re-architecture.
Multi-node disaster recovery
Workloads fail over between regions automatically, with full-chain logging for every request and route.
Operated as a service, 24/7
Monitoring, patching, and capacity planning are handled by the operations layer, so your team ships product instead of running infrastructure.
- 99.99%
- SLA uptime
- 24/7
- NOC coverage
- Multi-region
- Failover ready
Modular AIDC
Modular AIDC, engineered for high-density AI
Conventional data centers are slow to build and hard to reshape. Cooma Modular AIDC is an integrated, containerized platform: modules are prefabricated in the factory and delivered to site, engineered for liquid-cooled, high-density AI compute rather than retrofitted low-density halls.
A reference design, with each deployment sized to its project, from single modules to multi-module campuses.
Integrated liquid loops designed for modern high-density accelerators, not adapted air halls.
Distribution and energy storage engineered for grid disturbance and sustained uptime.
Power, cooling, batteries, controls, security, and operations, co-engineered as one system.
Sited where it makes sense. Every deployment is configured for its geography, workload, and regulatory environment, while keeping a common engineering core. Site, climate, market: starting in Australia, designed to replicate.
What we deliver
Site & power assessment
Qualify available power, planning and approval paths, fiber connectivity, logistics, and operating conditions before major capital is committed.
Modular facility delivery
Factory-prefabricated modules integrating high-density power, direct liquid cooling, energy resilience, controls, and physical security.
Commissioning & acceptance
One unified delivery plan aligns factory testing, site installation, systems integration, and operational acceptance.
Managed operations
Continuous monitoring, liquid-cooling operations, remote hands support, maintenance, and service reporting.
Compute systems integration
Deploy your own GPU systems or partner-financed capacity, with dedicated clusters as demand qualifies.
How a project runs
-
Qualify
Confirm site, available power, approval paths, connectivity, and customer requirements.
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Configure
Adapt the reference architecture to the compute platform, availability targets, and local conditions.
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Deliver
Coordinate factory integration, site engineering, deployment, and commissioning.
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Operate
Monitor and maintain to agreed service levels, with verifiable operating records.
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Expand
Add the next module only when power, demand, and commercial thresholds support it.
Why Cooma
One accountable path
Site, power, cooling, commissioning, and operations run under a single responsibility.
Reusable reference design
A proven architecture reused per project, removing avoidable redesign.
Factory and field together
Where conditions allow, factory integration and site engineering advance in parallel.
Native liquid-cooled compute
Built for high-density accelerators from first principles, not converted legacy halls.
Growth tied to proof
The next module is added only when qualified power and contracted demand support it.
Measurable acceptance
Operations are anchored to verifiable acceptance criteria and service evidence.
Delivery stack
The delivery stack, top to bottom
Seven capabilities organized in three layers. Resources keep it stable, the platform keeps it governed, and a single API keeps it simple.
Delivery
Access / API
High-availability inference API
One unified entry point for chat, generation, knowledge retrieval, function calling, and embeddings. Low latency at high concurrency, ready for production on day one.
Unified accessStreamingFast integration
Platform
Model hub / 50+
Control / WS
Billing / TK
Optimize / FT
Unified model hub
Language, embedding, image, video, and industry models behind one protocol. Switch freely without re-integration.
One protocolFree switching
Enterprise workspace
Isolated workspaces with their own keys, permissions, quotas, logs, and bills, managed per project and team.
Multi-tenantUsage visibility
Token metering & billing
Usage-based pricing with tiered discounts and project-level split billing. Every call is traceable to a cost.
Pay per useSplit bills
Model ops & optimization
Fine-tuning, quantization, caching, and acceleration tuned to your scenarios, improving quality while cutting long-run cost.
Fine-tuningCaching
Foundation
Private / PV
Resource / GPU
Private deployment
Local deployment and private model hosting for data security, compliance, and dedicated performance, with dedicated operations.
Data stays localCompliance
GPU compute services
Training, inference, and batch capacity on demand, backing high concurrency and custom models with elastic expansion.
ElasticTraining & inference
Model lineup
Every major model, one contract
Frontier, domestic, and multimodal models behind a unified protocol, cutting selection, migration, and maintenance cost. Rankings reflect current platform call volume.
RankModelCapabilityDemand index
CFClaude Fable 5Anthropic
Long context, complex reasoning
COClaude Opus 4.8Anthropic
Code and agents
G5GPT-5.6 SolOpenAI
General, ecosystem
GMGemini 3.1 ProGoogle
Multimodal, science
DSDeepSeek V4DeepSeek
Code, value
KMKimi K3 MaxMoonshot
Long context, knowledge bases
GLGLM-5.2Zhipu AI
Enterprise applications
QWQwen3.8 MaxAlibaba
Multimodal, Chinese
Language modelsEmbeddingImage & videoIndustry models
Demand index is indicative of platform call volume trends.
Service level
More than a connection. A service level.
From GPU to token, self-operated technology and enterprise governance keep every call stable, transparent, and scalable.
-
01
Intelligent multi-dimensional routing
Load, latency, capacity, health, and cost are weighed together, with dynamic routing and failover that switches in seconds.
-
02
Enterprise-grade governance
Tenants, permissions, keys, quotas, audit trails, billing, and risk control, covered end to end.
-
03
Full-stack, GPU to token
Infrastructure and model operations are optimized as one path, enabling customization and fast response.
-
04
One protocol, every vendor
Standardized calls across providers remove duplicate development and migration cost.
-
05
Three delivery modes
Public cloud, brand partnership under your own domain, or fully private deployment.
-
06
Metered, optimized billing
Pay for what you use, while cost-aware scheduling continuously reduces long-run spend.
Industry solutions
Built for your operating reality
Stability, cost, compliance, and delivery requirements differ by team. TokenFactory adapts from standard API access to fully private deployment.
Pain points
01Peak traffic stalls inference interfaces
02Maintaining several vendor APIs is expensive
03Team usage and budgets are hard to track
Cooma response
01One unified model API, integrated once
02Intelligent scheduling with pressure absorption and failover
03Project-level permissions, quotas, and billing
Business value
Stable support for AI customer service, assistants, knowledge bases, and SaaS AI features.
Pain points
01Funding and engineering resources are limited
02Model experimentation means constant switching
03No capacity to run platform operations
Cooma response
01Out-of-the-box cloud service
02Free model switching on one protocol
03Transparent usage-based token billing
Business value
Lower cost from prototype through testing to commercial launch.
Pain points
01Strict data security and compliance demands
02Critical workloads cannot tolerate interruption
03Operations must be fully auditable
Cooma response
01Private deployment with isolated compute
02Multi-node failover and high availability
03Tiered permissions with full-chain audit
Business value
Meets classified knowledge bases, intelligent approval, and financial risk control.
Pain points
01Multi-model experiments are cumbersome to switch
02Batch inference hits rate limits
03Experiment records are hard to trace
Cooma response
01Unified multi-model calling and comparison
02Elastic concurrency that scales on demand
03Complete call logs and billing archives
Business value
Faster evaluation and research, with less idle capacity spend.
Pain points
01No in-house compute or R&D resources
02Hard to build an independent brand
03Billing and customer systems incomplete
Cooma response
01Your own brand, domain, and tenant
02Separate keys and revenue-split billing
03Ongoing platform operations support
Business value
Launch your own AI inference service and focus on customers.
Pain points
01Text, image, and video tools are scattered
02Batch production lacks concurrency
03Content costs are hard to control
Cooma response
01Full multimodal model aggregation
02One interface and one bill
03High-concurrency batch generation
Business value
An integrated production pipeline for creative and media teams.
Architecture
The path a request takes
From application integration down to model and compute resources, every layer carries its own security, scheduling, governance, and failover capability.
Application scenarios
AI customer serviceEnterprise knowledge basesContent generationIntelligent assistantsData analysis
Unified access
OpenAI-compatible APISDKsAPI gatewayStreaming responses
Security & governance
AuthenticationTenant isolationKeys & permissionsAudit & billingRate control
Intelligent scheduling
Low-latency routingLoad awarenessCircuit breakingElastic scaling
Model & compute resources
Self-operated clustersPartner providersPrivate nodesGPU resource pools
About Cooma
Who we build for
Cooma builds the layer between available power and production-ready AI compute. Combining modular engineering, managed GPU capacity, and model operations, we help customers deploy AI services at the scale and location their workloads require. The company is currently building its reference platform, project pipeline, and delivery ecosystem.
Enterprises
Persistent or sensitive AI workloads that need accountable delivery and measurable service evidence.
AI companies
Teams moving from development to production without carrying an infrastructure operations burden.
Universities & research
Experimentation and evaluation across many models, with elastic concurrency and traceable records.
Sovereign & regulated bodies
Data residency, isolation, and auditable operations as defaults, not add-ons.
Compute platforms
Operators seeking an Australian deployment node with proven infrastructure underneath.
Energy & infrastructure partners
Owners of suitable power seeking to turn reliable supply into digital productivity.
Service record
Chosen for the workloads that matter
From independent developers to growing enterprises, stable service and engineering support accompany every deployment.
50+Mainstream models integrated
99.99%Service availability
24/7Technical support
30%Inference cost reduction
“One interface ended our multi-vendor maintenance. Model switching and product iteration both sped up.
“Stability through traffic peaks improved noticeably, and usage and cost are traceable per project.
“From model selection to production launch, support stayed with us the whole way. A small team shipped AI.
Ready when you are
Start a confidential conversation
Whether you are validating an AI idea or running enterprise workloads, we provide the right models, stable services, and sustained engineering support.
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