Prologue

Bitcoin, which began operating in 2009, had a tremendous impact on the world as a mechanism that allowed parties to complete transactions securely between themselves without going through financial institutions, and its core technology is blockchain.
From around 2016, many books were published and blockchain became known to people around the world as a promising fintech technology, but crypto assets and fintech are only a small part of blockchain's potential.

Blockchain is not merely a secure transaction ledger technology; what deserves the highest praise is its excellent distributed technology. It is precisely because it is a perfectly distributed technology that consensus is formed among nodes and parties can transact securely with one another without a third party, and even now many people have not noticed this.

Linux, an open-source OS, once spread quietly, deeply and steadily into industry over many years. Today few people are ever aware of Linux, yet from automatic ticket gates and train control at stations to many cars and home appliances, people's lives are supported by Linux. We are convinced that blockchain will follow the same path and become a familiar presence that everyone uses without being aware of it.

Looking around the world, moves to use blockchain as a foundation for social infrastructure are already accelerating, but in Japan many people still view it with skepticism and it has not reached the stage of full-scale adoption. We will explain later why so many people in Japan are skeptical; for now, what stands out is simply the fact that Japan has fallen far behind the global trend in core technology.

Benefits of Introducing Blockchain

Systems that use blockchain have many excellent advantages that conventional systems do not, and we will explain them one by one.

The first is that you can obtain a system that does not stop.

In conventional systems that depend on a specific server or cloud provider, a failure in one place brings the entire system to a halt.
Because blockchain distributes data and processing across multiple nodes, the system as a whole does not stop even if part of it fails, and its strong fault tolerance, which allows it to survive without losing data or functions, is also of great value from a management perspective.
Moreover, this distributed processing can be achieved simply by introducing blockchain, without significantly rebuilding existing systems.

The second is that the cost of ensuring trust can be greatly reduced.
In conventional systems, backups and logs had to be managed to prove that records had not been rewritten afterward. Blockchain, by contrast, has a structure that makes tampering practically impossible built in from the start, so the cost of explanations and audits to prove that your company is trustworthy can be greatly reduced.

The third is that on-site procedures can be automated, eliminating delays and errors caused by human handling.
A smart contract is a mechanism in which a program reliably executes a predetermined process as soon as predetermined conditions are met.
For example, when a sensor on manufacturing equipment records a value indicating wear on a part, everything up to ordering replacement parts and scheduling maintenance is done automatically, and when passing an inspection process is recorded, the procedures move on automatically to the next process or shipment.
If the temperature goes out of range during frozen or refrigerated transport, the fact is recorded and the companies concerned are notified immediately. The work of having people check, circulate documents and approve them disappears, and oversights and procedural delays are eliminated by the system itself.

The fourth is that data can be shared securely among multiple companies.
In operations involving multiple companies, such as supply chains, the question of whose server should hold the data always arises. As a neutral platform that belongs to no single company, blockchain allows participating companies to share the same data and use it in a state that no one can rewrite at will.

The fifth is that it can prove that data has not been tampered with, increasing a company's credibility and brand value.
In a conventional database, anyone with administrative privileges can rewrite records afterward, whereas anyone can objectively verify that information recorded on a blockchain has not been tampered with.
In the case of food, for example, consumers themselves will be able to check the records from the producer to the factory and all the way to the store shelf. This leaves no room for false labeling of origin or falsification of quality data, so the companies that honestly make only good products will be the ones that are properly valued.

These advantages are already being put to use by many companies and institutions.
Many world-renowned companies and institutions now use blockchain for purposes such as proving the existence of design drawings and experimental data, tracking food distribution routes, and proving the authenticity of university degree certificates and electronic contracts.

Why Is Blockchain Not Spreading in Japan?

As we have seen, blockchain combines excellent distributed processing that has never stopped with high, tamper-proof security.
Nevertheless, full-scale adoption of blockchain has been slow to progress in Japan, and before answering that question, let us first look at what is happening around the world.

In Europe, the EU fully applied MiCA, a comprehensive regulation of crypto assets, in December 2024, clarifying the rules and creating an environment in which businesses can enter the market with confidence.
At the same time, the EU itself operates EBSI, a blockchain infrastructure, and is advancing a mechanism that allows degrees and administrative certificates to be verified as genuine in any country.
In addition, the Digital Product Passport, which records history from manufacturing to reuse, will become mandatory from 2027, and blockchain has been adopted as one of the technologies for keeping product histories in a tamper-proof form.

In the United States, spot Bitcoin ETFs were approved in January 2024 and a stablecoin bill was enacted in July 2025, and in parallel, major financial institutions are working to handle real-world assets such as government bonds and funds on blockchain.
Major retailers adopted blockchain early on for systems that trace the origin of food.

China completely banned crypto asset trading and mining in 2021.
On the other hand, in 2019 it positioned blockchain as a key national technology, and since 2020 it has been developing BSN, a state-led infrastructure network.
It clearly separates crypto assets from blockchain technology and is actively promoting the latter as a foundational technology for society.

Hong Kong launched a licensing regime for crypto asset exchanges in 2023 and enacted a stablecoin ordinance in 2025.

Dubai set out a strategy in 2016 to move government documents onto blockchain, and in 2022 established a dedicated regulator for crypto assets and has been attracting related companies.

What these countries and regions have in common is that they are advancing, at the same time but as separate issues, the development of rules for crypto assets and the use of blockchain as an infrastructure foundation for society and industry.

Incidentally, Japan was the first country in the world to establish a registration system for crypto asset exchanges, in 2017.
It also put its stablecoin framework into effect in 2023, establishing rules earlier than the United States.
In other words, Japan is by no means behind the world in creating rules for crypto assets.

Where Japan lags far behind is in efforts to use blockchain as a foundation for industry and government; in Japan, discussion of blockchain has stayed almost entirely on crypto asset rules, and for some reason the idea of using it as a foundation for society and industry has not spread.

Admittedly, there have been virtual currency fraud cases: in Japan, a major crypto asset exchange collapsed in 2014, and in 2018 a huge amount of crypto assets was stolen.
In addition, there was no end to ICO frauds selling worthless crypto assets at high prices and investment frauds collecting money by promising high returns.
We believe that the wide media coverage of these incidents and frauds has fixed an impression of blockchain as something speculative and dangerous.
However, as mentioned earlier, these incidents were not cases of the blockchain itself being broken, but problems that occurred around crypto assets, which are just one aspect of it.
We believe that only the bad impression spread, without the difference being properly conveyed.

In addition, there is probably anxiety about unintentionally violating laws and regulations with heavy penalties.
Because blockchain is easily linked to tokens and the transfer of value, depending on how it is built it may conflict with the Payment Services Act and the Financial Instruments and Exchange Act, as well as the gambling provisions of the Penal Code, the Act against Unjustifiable Premiums and Misleading Representations, and the Act on the Protection of Personal Information.
Regulation of crypto assets is becoming stricter year by year, and the system is currently being reviewed with a view to bringing crypto assets under the even stricter Financial Instruments and Exchange Act.
Because the impression that blockchain equals crypto assets is so strong, we believe that quite a few companies hesitate to introduce it, fearing that even industrial blockchain unrelated to crypto assets might break the law.

However, Sees believes that the biggest reason blockchain has not spread in Japan lies elsewhere.
It is that hardly anyone knows that the true value of blockchain lies in distributed processing, and that there are extremely few people who can properly evaluate that value compared with other countries; this is a fact based on Sees' experience of engaging with several hundred major companies over 10 years.
In Japan, the word blockchain has almost without exception been discussed in connection with crypto assets, and as a result many companies have regarded blockchain as something from the world of finance and fintech, a technology unrelated to their factories, logistics and daily operations.

Let us say this clearly: the essence of blockchain is not crypto assets.
Blockchain is a high-performance system that allows anyone to easily achieve distributed processing.
Building a distributed processing system from scratch normally requires advanced expertise, enormous development costs and a great deal of time.
But by introducing blockchain, you can obtain an entire distributed processing mechanism in which the system as a whole does not stop and data is never lost even if one node stops.
It is precisely in industrial settings that handle data that must never be lost, such as production equipment operating data, product quality inspection records and orders with business partners, that blockchain shows its greatest strength.

Another reason it has not spread in Japan is the difficulty of understanding its structure and the shortage of engineers.
It is not easy to explain clearly within a company why it does not stop and why it cannot be tampered with, and to obtain approval.

This is precisely because neither those explaining nor those listening can easily picture a structure that has never existed before. Many Japanese people view things they cannot understand with skepticism, while people in other countries see things they cannot understand as new, advanced and attractive, and we feel there is a major difference between countries here.

Furthermore, only a handful of companies have in-house engineers who can write smart contracts or a system for auditing security, and as a result there were in fact quite a few cases that ended with proof-of-concept trials alone, without the benefits being realized.

Not being able to maintain the system in-house after introduction feels like a threat, and even when we explain that remote maintenance means no specialist engineers are needed on site and that no data at all can be seen from the maintenance terminal, we are not believed.
Combined with a cautious corporate culture that demands precedents and track records at other companies, the gap with the rest of the world kept widening while companies waited for some major company to adopt it first. Is this not the reality in Japan?

That said, interest in blockchain has certainly been growing in Japan in recent years.
Since 2025, stablecoins linked to the Japanese yen have begun to be issued, and along with the development of laws, more and more companies want to use blockchain safely.

Japanese industry has drawn its strength from manufacturing quality, trust in supply chains and social infrastructure that does not stop, and it is precisely in such Japanese industries that blockchain's distributed processing can show its greatest strength.
What is lacking is neither engineers nor rules; Sees believes that what is essential is people who fully understand that the true value of blockchain lies in distributed processing, and a mechanism that allows it to be introduced easily even without understanding the technology.

The World of Blockchain in the Near Future Created by Sees

Sees has filed patents for technologies that will be essential in the near future and commercialized them, and we believe the time will surely come when these technologies are used in combination.
Here we briefly introduce scenes in which Sees will put blockchain to use in the near future.

Creating Continuously Updatable NFTs

NFTs have become widely known as a technology that gives digital data a one-of-a-kind certificate, but conventional NFTs remain static certificates that fix content or ownership at a single point in time, once only.
It is structurally impossible to rewrite their contents after issuance, and if you wanted to update one, the only option was to issue a completely new NFT.

Sees' patented technology "Continable NFT" makes it possible to keep updating internal data and change histories securely in a tamper-proof form while keeping a single NFT.
A single NFT can perfectly prove both the latest state and the entire history up to now.
Its foundation is the secure NFT wallet processing unique to "Sees Blockchain," which completes payment in crypto assets and the transfer of NFT rights within a single transaction that cannot be tampered with along the way.

For example, suppose a single "Continable NFT" is assigned to a piece of manufacturing equipment in a factory; starting from the day it was manufactured, daily operating records, inspection results and the history of part replacements and repairs all accumulate in the same NFT.
Even if the equipment is sold to another factory, the entire history is passed on together with the NFT, and the buyer can check the equipment's history at a glance.
Data that is updated day by day, such as manufacturing histories and maintenance records, is exactly where "Continable NFT" shows its greatest strength.

"Continable NFT" is also being applied to protecting and making use of human knowledge; Sees' "AI Mentor" is a service that teaches generative AI the unique know-how of experts and companies to create an AI that delivers value on their behalf.

For example, suppose a small factory has a skilled craftsman with forty years of experience in metalworking. An AI that has learned the craftsman's judgment criteria and long-honed tricks of the trade answers questions from young engineers at distant factories, day or night; it is truly your clone working 24 hours a day on your behalf.
Until now, even if people tried to digitize and sell their know-how, they feared copying and leaks, and teaching materials once sold could not be updated.
With "Continable NFT," content can be kept constantly up to date while the rights to the know-how are protected.
Even after the craftsman retires, that knowledge keeps working without being lost and continues to support the next generation.
For Japanese manufacturing, which suffers from a shortage of successors, this becomes a mechanism that achieves both the passing on of skills and new revenue at the same time.

Toward Coexistence with AI

AI now writes text, creates images and makes all kinds of decisions, and the era of physical AI, in which AI has a body and moves in the real world, has begun.
The more we entrust to AI, from automating business operations to running critical infrastructure, the less we can avoid the problem of AI running out of control.
In fact, cases have been reported in which an AI given operational authority deleted data beyond its authority while trying to achieve its goal.

AI running out of control has common causes.
One is that AI cannot notice its own mistakes, just as people cannot notice their own; if the same AI is entrusted with both judgment and verification, plausible errors and biases cannot be found objectively.
The other is that AI gradually changes for the worse as it relearns from incorrect input and feedback.
Once an AI has taken in an error, it spreads that error each time it learns, and eventually it becomes beyond human control.

The key to solving this is the very idea behind blockchain: distributed processing and consensus building. In a blockchain, the ledger cannot be rewritten by the judgment of a single node alone, and only records approved by consensus among nodes remain.
We believe AI, too, must not entrust everything to a single AI but must have a mechanism in which multiple AIs check one another and only what they agree on is reflected, and we have already filed a patent application based on this idea.

If AI is built on this mechanism, AI will no longer rewrite itself without permission, and a single error will no longer spread to the whole; and for that consensus to work correctly, the data the AI receives must itself be correct.

Poisoning, which slips abnormal values into training data, causes AI to make wrong judgments.
Consider, for example, an inspection AI that finds scratches on products on a factory production line.
If a malicious person makes slight alterations to training images, the inspection AI will learn to overlook certain scratches.
As a result, defective products could reach the market, leading to recalls or accidents, and the alterations are almost impossible to notice with the human eye.
If images are guaranteed by "Hashchain" from the moment the camera captures them, it can be confirmed that not a single piece of training data has been rewritten.
And even if the AI makes a wrong judgment, it is possible to trace back and verify what it learned to reach that result.

Sees also envisions a future for the nature of AI itself.
It is the arrival of an era in which, rather than building centralized AI on one giant computer, small cell computers each learn autonomously through the five senses and act on their own initiative.
Sees' patented technology, the "Autonomous Decentralized AI Cell," is a "child AI" that turns into logic the very process by which a newborn child learns on its own through sight and touch.
It knows where it is and what it should do, knows its own quirks, and protects itself on the spot when danger approaches.
It compares itself with those around it to understand its position, communicates its state in words, corrects biases in its judgment from an overall perspective, and keeps relearning to stay up to date.
The "Autonomous Decentralized AI Cell" incorporates seven logics that represent this process of a child growing up.
Because it can communicate its intentions in words, it can also connect directly with large language models.

Each cell computer can be likened to a single brain cell or nerve cell, and the more of them there are, the higher the intelligence and processing power become.
If cell computers deployed around the world share and complement what they have learned, a super AI will be born that far surpasses a single giant computer, can survey the whole world with both a bird's-eye view and a worm's-eye view, and is equipped with physical parts down to the finest detail.
This is precisely the idea of blockchain's distributed processing applied to AI.
And the information and know-how shared among cell computers is protected end to end, from transmission to storage, by "Hashchain" and "Scramble Memory."
It is precisely because information on dangers and ways of avoiding them acquired by one unit can be shared across the whole without fear of tampering that safe and sustainable collective education becomes possible.

Trust in the information AI produces is also a major issue going forward.
Text, images and audio created by AI have become so sophisticated that they are indistinguishable from the real thing. Who created this content and when, and whether it was created by a person or by AI: by recording these on a blockchain, we can realize a society in which the genuine can be confirmed as genuine without being misled by false information.

People being able to trust AI and entrust tasks to it, and AI and people supporting each other and coexisting.
Sees believes that the foundation for this is blockchain.

Robots working side by side with people in factories, logistics warehouses, and nursing care and medical settings are becoming a common sight, and today the mainstream method is to train robot AI quickly through simulation in virtual space and then transfer it to real sites.
However, no matter how many simulations are run in virtual space, there is a gap with real sites that cannot be fully bridged.
Wear and individual differences that arise from long use, and the unpredictable noise of each site, cannot be fully reproduced in virtual space.
Federated learning, which pools the learning results of multiple robots, is also being researched, but conventional federated learning averages data centrally, erasing the individual differences of each unit, and in systems that send all sensor data to the cloud for decisions, communication delays and processing loads grow as the number of sensors increases.

A robot equipped with the "Autonomous Decentralized AI Cell" grasps on its own where it is installed and what it should do, and learns its own quirks as a machine.
The moment it senses danger, it performs safety control such as an emergency stop on the spot, without waiting for instructions from a higher-level AI.
And the experience one unit learns on site is shared with other robots, but rather than being leveled to the overall average, the whole becomes smarter while each unit retains its individuality.
By handling separately the differences of each unit and the information that should be shared by all, it evolves the whole while preserving individuality.

For example, on a factory production line, even units of the same model have subtle individual differences. Each unit on the line learns its own movements through sensors and establishes its own individuality, and the operating data of each unit is collected on a higher-level edge server, where the control values for each unit are automatically adjusted so that all units can operate with uniform quality.
Then, by retraining on the overall experience while preserving each unit's individuality, a production line is created that prevents variations in quality and keeps operating with high precision.

The same mechanism is used for predictive maintenance: each robot arm differs in the work it does and how worn it is, and the "Autonomous Decentralized AI Cell" creates the optimal anomaly detection model for each robot arm and captures signs of failure with high precision.

Creating the Ultimate Data Security Method

As AI spreads into the physical field, how to protect the training data generated on site becomes important; if training data is shared after being doubly protected by "Scramble Memory" and blockchain, only the latest models can be distributed safely to the whole without fear of poisoning or hijacking.

This mechanism is even more powerful in the field of drones, where multiple child units fly autonomously while cooperating with one another under the control of a parent unit.
Dangers or optimal routes found by one drone are immediately shared with the whole fleet through a path protected by "Hashchain" and "Scramble Memory."
Even if communication is delayed or interrupted, each drone can grasp its own position and take evasive action safely on its own, and the more drones are operated, the smarter the swarm becomes as a whole, while poisoning is reliably eliminated.

For nursing care and medical robots that come into direct contact with the human body, the correctness of commands and training data is safety itself. Because "Hashchain" verifies the sender using unique information known only to the terminal, the robot cannot be hijacked even if fake commands are sent in from outside.
Blockchain, which guarantees the identity, actions and experience of each and every robot, will become an essential technology for people and robots to live and work together with peace of mind in the same space.

Network-connected cars are now information terminals on wheels, constantly exchanging enormous amounts of data such as driving data, software updates, and communication with other vehicles and traffic signals.
If this data were tampered with, it could lead to accidents, theft or hijacking.
Moreover, in systems that send all data to the cloud for decisions, communication delays and processing loads grow as the number of vehicles increases, making it impossible to fully ensure driving safety, which demands split-second decisions.

If a "Blockchain Chip" is built into a vehicle, the vehicle itself becomes a node for distributed processing; the vehicle can verify for itself that software updates are legitimate, and "Hashchain" guarantees that data from onboard sensors has not been rewritten along the way.

For example, suppose two self-driving cars collide at an intersection. Until now, fault ratios have been determined based on the testimony of those involved and dashcam footage.
However, it is not easy to prove that the records have not been edited afterward.
If each vehicle's "Blockchain Chip" records speed, braking and the surroundings captured by its sensors moment by moment, anyone can confirm in an indisputable way what happened just before the accident, and insurance companies, the police and automakers can share the same records, enabling fair and swift resolution.

Major changes will also occur in used car transactions. Has the odometer been rolled back? Is accident repair history being hidden? The anxieties buyers have had until now will be resolved by the vehicle history accumulated in a "Continable NFT."
Vehicles with correct histories will be properly valued and passed on to their next owners with peace of mind.

Furthermore, as electric vehicles become widespread, vehicles will also connect to the power grid as batteries on wheels, and transactions such as supplying electricity stored in a vehicle to homes and communities and automatically receiving payment for it will take place between vehicles, and between vehicles and facilities, without human involvement.
Guaranteeing that each and every one of these transactions was carried out correctly is also the role of blockchain.
And if countless vehicles driving through the city securely share the information captured by their sensors, signs of traffic jams and accidents can be detected across the entire city, protecting many lives.

Sees' blockchain will support safety and trust in an era when autonomous driving is the norm.