Janction bridges Jasmy’s vision of data democracy with decentralized AI, creating a living economy where private data can move, trade, and earn under user control.
Its Proof of Contribution system redefines consensus, rewarding real compute and data value instead of staking power, turning computation into a verifiable public good.
By integrating Jasmy’s Personal Data Lockers, Janction holds exclusive access to encrypted real-world data, positioning it as the only AI network built on verifiable privacy and economic autonomy.
The Awakening of Data
In the early web, data was quiet. It drifted through pages like digital dust, unnoticed yet essential. People shared, posted, and created, while algorithms observed in silence. Then everything changed. Data stopped belonging to those who made it. It was captured by platforms, locked in corporate vaults, and sold as fuel for profit. Human behavior became a product, and algorithms became invisible rulers. Out of that imbalance, a new idea began to form — data sovereignty.
Jasmy, a project born in Japan, built itself on that very belief. It imagined a world where users could own their data as a right, not a privilege. Its Personal Data Locker (PDL) gave each person control, letting them keep their private information encrypted and decide who could access it. It was a quiet act of rebellion in a world ruled by centralized networks. Yet even this freedom came with a paradox: once data was locked away, it was safe but motionless. Ownership had returned to people, but utility had not.
Janction arrived as the missing bridge. It was not another compute provider but a new way to think about computing — one where privacy and performance coexist. Its vision was clear: data should not only be protected, it should be alive. It should move, learn, and earn. It should stand beside AI as an equal player in the digital economy. With Janction, Jasmy’s dream of “data democracy” finally had a heartbeat.
The Rebirth of Computation
Janction emerged in an age when computing power was controlled by a few. AI models depended on massive cloud providers, and access costs grew higher every month. Innovation became gated. For smaller developers, the future of AI looked like a fortress — expensive to enter, impossible to own.
Hiroshi Harada, a former KPMG auditor turned blockchain executive, saw the imbalance firsthand while leading finance at Jasmy. His answer was simple but radical: rebuild computation itself. If data could be decentralized, why not the machines that process it?
Janction chose a pragmatic foundation — the Optimism OP Stack — to build its Layer 2 network. But the true innovation was in how it rewarded contribution. Its Proof of Contribution (PoC) system redefines consensus not as a race for power but as a measure of value. GPU providers earn rewards through the Shapley Value, a concept from game theory that evaluates each node’s real input to a shared task. Data providers earn based on use, accuracy, and reputation. The result is a self-balancing economy where computation and data feed each other.
Everything in this network — from computation to reward — is verifiable on chain. Trust is no longer assumed; it is calculated. Janction is not just a distributed GPU marketplace. It is an ecosystem that turns performance into transparency and transparency into fairness. It proves that computing itself can be rebuilt as a public good.
The Contract of Intelligence
If Jasmy gave data its sovereignty, Janction gave it agency. Together they form a living system where private information can move, trade, and think — all without leaving its owner’s control. Through smart contracts, users authorize encrypted portions of their data for AI training and receive JCT tokens in return. There are no middlemen, no hidden servers, only cryptographic agreements that everyone can verify.
For the first time, even AI must follow rules. Every model decision is logged on chain, every process traceable, every result provable. The black box becomes transparent. Algorithms no longer act in secret but within boundaries defined by code. Humans cease to be passive data sources and become co-creators in an open economy. In Janction’s world, AI is not a tool or a threat — it is a citizen.
This rewrites the social contract of intelligence itself. In the old order, machines consumed data. In this new one, they pay for it. Algorithms once held authority through opacity; now they must earn legitimacy through contribution. Each node, dataset, and process becomes a moral unit in a transparent system. Janction turns technology into governance — a kind of digital constitution where fairness is enforced by design.
The Republic of Machines
When Janction’s token JCT launched on Binance Alpha in November 2025, trading volume surged past twenty-five million dollars within a day. But the real milestone was not financial — it was symbolic. It marked the moment decentralized AI stepped out of theory and into the marketplace.
Janction’s ambition goes beyond GPU markets. It aims to build an autonomous world where data and computation share one economy. By integrating with Jasmy’s Personal Data Lockers, Janction has access to something no competitor can replicate — real, encrypted data owned by millions of users. These datasets can’t be exported or centralized. They form a private intelligence layer that only Janction can compute on.
While others like io.net, Render, and Akash compete for supply, Janction commands demand. It doesn’t fight price wars; it defines a new market. The Jasmy ecosystem gives it exclusivity — a moat built not by infrastructure, but by trust. From AI image generation to enterprise-grade LLMs, from gaming to medical analytics, Janction is quietly building a decentralized network where every computation strengthens the whole.
Over time, that network could evolve into something larger — a digital society governed not by authority but by logic. In this republic, data is self-owned, computation is shared, and intelligence is accountable. Humans and AI coexist as peers under the same economic principles: contribute, verify, and earn.
Janction is more than a platform. It is a blueprint for the future — one where intelligence is free, computation is fair, and data finally has a voice. When machines learn to obey the same laws as humans, the foundation of a new civilization is laid. The republic of machines may not exist yet, but Janction has already drawn its borders.