TOKEN FACTORY
Own the Compute
Behind Every Token
AI is shifting from training models to running them, at scale, forever. We build and operate the inference infrastructure that turns compute into tokens: reliably, efficiently, and at the pace your AI business demands.
“
Inference infrastructure has gone from something you rent to something you own. A model where compute maps directly to per-token revenue is what the next standard of AI infrastructure investment will look like.
Taro Yamada
CEO, Sample Corporation
“
The shift from training to inference is irreversible. I have high expectations for MTM Capital as a domestic operator building the supply side of that market.
Hanako Sato
Professor of AI Economics, Sample
University
“
A structure where GPU hours convert straight into revenue is one of the most predictable AI businesses an investor can look at.
Ichiro Suzuki
Partner, Sample Capital
MARKET SHIFT
From Training-Centric to Inference-Centric
The AI industry's center of gravity is moving. Training builds a model once. Inference runs it forever, and that's where the revenue lives.
| Training | Inference | |
|---|---|---|
| Nature | One-time investment (CapEx) | Continuous processing (OpEx / revenue) |
| Determines | Model performance | Revenue the model generates |
| Demand | Limited to development | Grows with every user, every agent |
Data centers are no longer just infrastructure.
They're production
facilities for tokens.
The company that controls compute controls the economics of AI.
WHAT WE DELIVER
What We Deliver
Inference Infrastructure
Low-latency, high-throughput inference on high-performance GPU clusters. Built for production, not prototypes.
Flexible Supply Models
- On-Demand
Dedicated deployments, scaled to your workload - Reserved
Guaranteed capacity, priority access to the newest hardware - Scalable Burst
Absorb sudden demand spikes from agentic workloads without degrading performance
Stability at Scale
SLA-backed operation. Continuous token generation, 24/365. Your AI service doesn't stop because our infrastructure doesn't.
Cost Optimized by Design
Workload-aware GPU allocation that lowers cost per token without compromising latency or quality.
BY THE NUMBERS
By the Numbers
350ms
Median inference latency
99.9%
Uptime SLA
500M+
Tokens processed per day
12
Enterprise deployments in production
ECONOMICS
The Economics of Compute
Compute investment doesn't just support your business. It is your business. Every GPU hour translates directly into tokens generated, and every token generated translates directly into revenue.
FOR ENTERPRISES
Building on AI
Cost efficiency compounds into competitive advantage.
FOR INVESTORS
Investing in Infrastructure
A business where capital deployed and revenue growth move together: visibly, and predictably.
OUTLOOK
Built for What's Coming
Inference demand isn't growing linearly. It's compounding.
More sophisticated models
Multi-step reasoning and multimodal inference increase compute load per request
Longer context windows
Hundreds of thousands to millions of tokens, becoming the norm
Autonomous agents
Continuous, self-directed model calls extend demand from humans to AI itself
The compute and infrastructure market as a whole is expected to keep growing in the years
ahead.
We're building the supply side of that market.
CUSTOMERS
What Our Customers Are Saying
Own Your Compute Future
Whether you're building AI products or investing in the infrastructure behind them, the question is
the same:
who controls the tokens that power the next generation of AI?