bloomax Token Factory
Token Factory: AI Inference Infrastructure for Enterprises
The Power to Run AI,Driving Business Growth.
bloomax is preparing an inference service to support sustained enterprise AI use. We combine GPU-based compute infrastructure with model execution environments, managing everything from infrastructure configuration to ongoing maintenance — with the goal of delivering this as a service your applications can call.
Configuration and service terms are worked out individually, based on the models you plan to use, expected workload, and intended usage period.
Inference is the process by which an AI model generates answers, summaries, and other outputs in response to input. Token Factory is a planned service that provides the infrastructure to run this process on a continuous basis.
Planned Services
Inference API
A service for calling AI models from your application. Reduces the burden of building your own GPU environment, enabling faster AI feature validation and implementation.
Target Users
Companies and development teams building AI-powered features
Dedicated Inference Environment
A private inference environment designed around your throughput and operational requirements — for sustained usage and requirements that shared environments can't meet.
Target Users
Enterprises running AI at the core of their business or services
Inference Infrastructure Build & Operations
End-to-end support for deploying and operating inference infrastructure — covering GPUs, networking, and model execution environments, including options to leverage existing assets.
Target Users
Enterprises and infrastructure providers building their own AI platform
Details on availability, scope, and pricing for each service will be announced when ready.
We review the model, workload, response speed, data handling, and operational setup, then work out a configuration and service terms suited to your use case.
Inference infrastructure, delivered as a service.
Sustained enterprise AI use requires more than securing compute resources. It also demands ongoing management of the execution environment, workload allocation, maintenance, and scaling.
With Token Factory, bloomax aims to manage and operate this inference infrastructure so customers can access it through a service interface. We define the boundary between what your team manages — your applications and data — and what bloomax handles on the infrastructure side, then establish service terms individually.
Service architecture overview
Scope bloomax plans to cover
- Infrastructure configuration and execution environment management for the inference service
- Workload allocation and capacity planning in line with your usage plan
- Maintenance and operational management of infrastructure equipment
- Defining service terms, acceptance criteria, and support scope
Scope confirmed with customers
- Model and application requirements
- Expected workload volume and usage period
- Business data handling and backup
- Account, API credentials, and access permission management
Specific responsibilities and accountability are defined by the service arrangement and individual contract.
For daily workflows and your next product.
The examples below are anticipated use cases. They do not represent completed deployments or currently available features. The specific scope of support is confirmed individually.
Internal Knowledge Retrieval
Inference infrastructure for generating draft answers to employee questions by referencing internal documents.
Learn moreCustomer Support
Infrastructure to support inquiry classification, draft response generation, and interaction history summarization.
Learn moreLarge-Scale Document Processing
Inference infrastructure for batch summarization, information extraction, and classification of business documents.
Learn moreAI Integration into Your Own Products
Execution infrastructure for embedding text generation and conversational AI into your own apps or SaaS.
Learn moreHow the Consultation Process Works
Discovery & Requirements
We discuss your AI use case, expected usage volume, existing systems, and data handling requirements.
Configuration & Validation Planning
We identify suitable models and inference environments, outline evaluation approaches, and map out next steps toward deployment.
Proposal & Deployment Plan
We confirm what we can support, expected availability, pricing, and operational conditions, then provide a tailored proposal.
Frequently Asked Questions
The Inference API is planned as a shared service that lets you call AI models from your application without building your own GPU environment. The Dedicated Inference Environment is a private setup designed around your specific throughput and operational requirements — suited for sustained usage or requirements that a shared environment cannot meet.
You can reach out even if your use case or scale is not yet defined. We welcome inquiries ranging from 'we want to use AI in our workflows but don't know where to start' to 'we want to revisit inference costs' or 'we want to embed AI into our own product' — through to detailed configuration discussions.
We confirm the usage scale, infrastructure configuration, usage period, and operational requirements, then provide guidance individually. We are planning a monthly fixed-fee model for ongoing use. Pricing structure, conditions for starting service, and how expansions are handled will all be confirmed before any contract is signed.
Token Factory is an enterprise AI inference platform that bloomax is currently developing. We are planning three service forms: an Inference API, a Dedicated Inference Environment, and Inference Infrastructure Build & Operations support — combining GPU infrastructure with AI model execution environments. We are currently accepting consultations; availability and pricing will be announced when ready.
It helps to share your intended AI use case, expected usage volume (number of requests, document volume, etc.), an overview of your existing systems, and any data handling requirements (storage location, access controls, etc.). That said, a consultation is possible even if these details are not yet finalized.
Availability and pricing are not yet finalized. We will notify those who have contacted us first, and update this page, as soon as details are confirmed.
TPM stands for Tokens Per Minute — a metric that indicates how many tokens are processed in one minute. Actual throughput varies depending on the model, input and output length, and the number of concurrent requests. When evaluating a deployment, we review not just the TPM figure but also the usage conditions and evaluation approach together.
Turn your AI vision into something that keeps running.
Want to embed AI into your own service. Looking to revisit inference costs. Considering a dedicated AI execution environment.
bloomax is accepting consultations as we build out the Token Factory service. Even if your use case or scale isn't fully defined yet, we'd love to hear what you're thinking.
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