3.1 Three Growth Strategies
[Strategic Overview] The DEP Protocol deploys the following three strategies, expanding in stages: starting with solving urgent issues, moving to Web3 DePIN/RWA foundations, and finally becoming an infrastructure for all data.
Pillar 1: Creating Real Demand
[Establishing the Economic Zone] First, we establish an economic zone for the protocol in two areas that generate immediate revenue and traffic.
- RLHF (Reinforcement Learning from Human Feedback) We provide a task foundation utilizing gamification to collect "human feedback" from users worldwide. We create high-quality datasets (ranking, correction, summary evaluation) to adjust AI ethics and accuracy, selling them to AI development companies as a depleting learning resource.
- Ad Fraud Prevention (Verify SDK) By embedding a lightweight SDK into applications like mobile games and analyzing player bio-signatures, we prove "existence as a real human." Providing this verified traffic to the advertising market eradicates ad fraud and dramatically improves publisher profitability.
Pillar 2: Expansion of Oracle Functions
[Source of Truth for Web3] Ultimately, the DEP Protocol will become the "Source of Truth" for the entire Web3 ecosystem. We will expand oracle functions that connect on-chain and off-chain elements, such as proof of device operation and location verification in DePIN (Decentralized Physical Infrastructure Networks), and proof of asset value in RWA (Real World Assets). This establishes our position as a "Trust Layer" required by every L1/L2 blockchain.
Pillar 3: Expansion via Digital Upcycling
[From Created Data to All Existing Data] We expand the scope of data from intentionally created data to "all pre-existing data." Vast amounts of "dark data (logs, dormant assets)" sleep unutilized in corporate servers worldwide.
[Regenerating Data Resources] The DEP Protocol accepts this data into decentralized storage and provides a "Digital Upcycling" module that verifies PII (Personal Identifiable Information) removal and format conversion. By regenerating previously discarded data into clean resources learnable by AI, we exponentially expand the protocol's processing capacity and economic scale.
3.2 Serviceable Addressable Market (SAM)
[Market Approach] We approach the $15 trillion macro challenge through the following four segments. The SAM (Serviceable Addressable Market) for each market is calculated based on Total Addressable Market (TAM) forecasts by external research institutions.
Segments | SAM | SAM | Source |
RLHF Market
(Reinforcement Learning from Human Feedback) | A data market to feedback human judgment/ethics to AI to improve accuracy. The realm of "giving human intelligence to AI." | Trillions of Yen scale (Entire AI Dataset Market). | Grand View Research predicts the global AI training dataset market will grow to approx. 1.3 Trillion Yen ($8.6B) by 2030. |
Ad Fraud / VHI Market
(Verified Human Interaction) | A market to prevent bot views (Ad Fraud) and guarantee that "a real human viewed it." | Short-term: 45B–130B Yen. Mid-to-Long-term: 450B–750B Yen. | Juniper Research predicts global ad spend losses due to fraud will reach approx. 25.8 Trillion Yen ($172B) by 2028. |
DePIN / Oracle Market | A layer that verifies real-world data (physical reality) like infrastructure inspection, insurance, and logistics, connecting it to the blockchain. | Trillions of Yen scale (Future Prediction). | Messari reports the potential scale of the entire DePIN market will reach approx. 525 Trillion Yen ($3.5T) by 2028. |
Digital Upcycling Market | A market to accept dormant data (dark data) from corporate servers, process it for AI training, and sell it. | Hundreds of Billions to Trillions of Yen. | Estimated based on converting the approx. 465 Trillion Yen ($3.1T) annual economic loss from "Bad Data" (IBM study) into value through clean data. |
Source
3.3 Why a Proprietary Chain and Native Token are Necessary
[The Necessity of Blockchain] In an open environment (Permissionless) where anyone can participate in data provision via SDK, the following blockchain functions—achievable only through tokens, not fiat currency—are essential to maintain data quality and ensure fair distribution.
- Economic Incentives Guaranteeing "Quality of Verification" (Staking & Slashing) While SDK users (data providers) can participate easily without staking, it is the "Verification Nodes"—who hold and stake DEP—that judge whether that data is "authentic and high-quality." Verification nodes pledge DEP tokens as collateral; if they perform fraudulent censorship or erroneous approvals, their assets (DEP) are confiscated (Slashed). This mechanism of "guardians exposing assets to risk to protect quality" cannot be built with centralized server management or fiat currency.
- Ultra-High-Speed Distribution of Micro-Rewards We need to aggregate and pay compensation for data provision (ranging from a few cents to a few dollars) in real-time to millions of SDK users worldwide. While bank transfers would fail due to fees and processing times, a proprietary DEP chain allows for instant reward distribution with minimal fees.
- Autonomous Expansion of the Ecosystem Revenue from external AI companies (data buyers) is automatically allocated by the protocol to an autonomous buyback mechanism. This builds a "Cycle of Value Return" where value is redistributed to verifiers and data providers. This realizes an economic zone where the growth of the network itself becomes a profit for participants, without dependence on an operating company.
3.4 DEA's Competitive Advantage
[Token Design and Gamification] ~ Token Design Capabilities that Promote "Behavioral Change" and Gamification Implementation that Generates Real Data ~
[Why DEA?] Why is DEA building this data infrastructure? It is not simply because we possess blockchain technology, but because we hold rare know-how globally in "Behavioral Economic Design" and "Social Implementation Track Records" required to motivate humans and continuously generate high-quality data.
1. Robust Incentive Design Based on "Play to Earn" Operational Track Record
[Motivating Participation] The most difficult aspect of data oracles is "how to get people to continue with tedious data entry and verification tasks." Through operating NFT games, DEA has spent over six years implementing "behavioral change in humans through token incentives" in society.
- [Transfer of Know-how] We have a track record of sublimating the act of "playing games" into the economic activity of "creating assets." This insight is a decisive strength in transforming the potentially boring tasks of "data generation" and "validation" in the DEP Protocol into entertainment that users engage in voluntarily and enthusiastically.
- [Ecosystem Maintenance] DEP tokens are already fully in circulation, and DEA has years of operational experience. The gritty operational know-how required to build a sustainable ecosystem—such as curbing token inflation and balancing reward designs—cannot be acquired overnight. This track record is the driving force that keeps data providers (users) connected to the network over the long term.
2. Track Record of Social Issue-Solving Gamification seen in "Pictree"
[Real World Data Collection] DEA possesses not only theory but also a track record of actually collecting and solving Real World Data (RWA) using games. The symbol of this is "Pictree."
- [Proof of Changing "Play" into "Labor"] In "Pictree," users take and post photos of infrastructure like utility poles and manholes, competing in teams. While it is a "territory game" for users, behind the scenes, massive amounts of "infrastructure inspection data"—which power companies and local governments used to spend huge costs to obtain—are generated rapidly as a byproduct of play.
- [Pioneer of DePIN] This is the DePIN (Decentralized Physical Infrastructure Network) model that has garnered attention in recent years. We have proven at a social implementation level that "using gamification allows people to contribute to the maintenance of social infrastructure while having fun." This success experience and system foundation serve as a powerful engine for realizing the DEP Protocol.
3. Partnerships with Large Corporations and Compliance Structure for IPO
[Corporate Strategy] Targeting a listing on the Tokyo Stock Exchange from January 2026 onwards with a headquarters in Japan, DEA Inc. has realized partnerships with numerous leading Japanese corporations.
[Conclusion] In conclusion, DEA is not merely a technology vendor. We are one of the few professional groups in the world capable of skillfully combining "economic motivation" (tokens) and "psychological motivation" (games) to "get people to move voluntarily and generate necessary data."