[WAVEE Inc.] Realizing the \"Securities Market for Talent\" through Web3.0 and AI. A Revolutionary Platform Yielding Continuous Returns from Talent Placement

Disrupting Siloed Matching: Integrating Global Talent Data via Blockchain

Hello everyone, I am Yuta Hayakawa, CEO of WAVEE Inc. Today, I would like to introduce \"WAVEE,\" a platform that leverages the power of AI and Web3.0 to fundamentally transform the way job matching and recruitment operate.

I began my career 15 years ago specializing in AI research. Later, following my involvement in new business development, I entered the blockchain and Web3.0 sector in 2017. Along the way, I co-founded Hameta, a Fintech startup focused on elderly care, and gained experience in the HR tech space before launching WAVEE.

Our goal is to provide the most optimal work opportunities for everyone. However, the current recruitment industry suffers from a major structural issue: data silos. Traditional recruitment agencies can only match candidates with companies within their own closed networks. Because candidate and job data are fragmented across thousands of agencies, the choices presented to both individuals and companies remain highly limited.

To achieve truly optimal matching, we must integrate global talent data and job requirements into a single shared infrastructure. We leverage blockchain technology to integrate these data points, building a new tokenomics model where individuals and agencies earn continuous incentives by sharing their talent networks.

Lifetime Sharing and Multi-Tiered Incentives: Accelerating Network Effects via \"Talent NFT\"

At the core of WAVEE's rapid growth strategy is our incentive model built around personal referrals.

The mechanism is simple: users invite talented acquaintances or companies to join WAVEE. In return, they receive a \"Talent NFT\" that serves as a referral certificate linked to that invited individual. Launching a project that digitizes referral rights into tradable NFTs has almost no precedent globally.

When an invited individual successfully matches with a company and secures a job or freelance contract via WAVEE, a percentage of the matching fee paid by the hiring company is distributed to the owner of that Talent NFT.

To drive explosive growth, we have implemented three key innovations:

1. Lifetime Fee Distribution: The referral reward is not a one-time event for the candidate's first job change. The NFT holder continuously receives a percentage of matching fees every time the candidate switches jobs, takes on side projects, or secures freelance work throughout their career.

2. Multi-Tiered Incentives: If a person you invited invites someone else, and that second-degree connection matches with a company, you still receive a portion of the fee. This design allows us to onboard community leaders, executives, and other \"hubs\" who themselves have no intention of changing jobs but possess massive professional networks.

3. First-Come, First-Served Rule: If the same talented candidate is invited by multiple people, the user who completes the invitation first wins the Talent NFT. This creates a strong sense of urgency, encouraging users to invite their top connections immediately.

For hiring companies, WAVEE makes it easy to execute reference-based hiring of culturally fit talent, dramatically reducing recruitment costs compared to traditional job boards or high-fee agencies. In recognition of this social-good model, WAVEE recently won the Excellence Award in the HR Service Division at the prestigious \"HR Technology Awards\" in Japan.

Solving the \"Education Investment Dilemma\" via the Talent Securities Market

We are expanding this NFT model to establish what we call the \"Talent Securities Market,\" representing a major financial innovation.

As high-potential individuals advance in their careers, their earnings increase, which in turn boosts the matching fees they generate. This means the value of the Talent NFT—the right to receive a percentage of those fees—will appreciate over time.

This appreciation creates a market: investors will want to purchase these Talent NFTs at an early stage (such as when the candidate is a student or a junior professional). Meanwhile, the original referrers can choose to sell their NFTs on the marketplace to unlock immediate capital rather than waiting for long-term dividends.

By matching these buyers and sellers, WAVEE acts as an exchange for Talent NFTs, creating the world's first talent-focused financial market.

This marketplace addresses a major social challenge: funding education and training. For example, companies or investors can fund tuition for promising students. The students do not have to take on student loans. Instead, they are tokenized on WAVEE, and investors recoup their capital from the future matching fees generated when these students land jobs.

This also solves a common corporate dilemma. Many corporations hesitate to invest in training junior staff because they often leave after a few years, wasting the training budget. With WAVEE, if a company tokenizes its employees, it will continue to receive a share of the matching fees even if those employees transition to other firms, enabling companies to confidently maximize their investment in human capital.

Instant Matching via Patent-Pending AI Technology Targeting 4 Million Companies

To scale this ecosystem rapidly, we utilize our patent-pending AI automated matching technology.

Typically, marketplace platforms struggle with the \"chicken and egg\" problem—needing to acquire candidates and hiring companies simultaneously to facilitate transactions.

With our patent-pending AI technology, once a candidate registers on WAVEE, the AI automatically searches through a database of nearly 4 million companies in Japan to find the best skill and cultural fit. WAVEE then automatically pitches this candidate to the company. This enables us to facilitate matches simply by acquiring candidates, accelerating platform growth.

WAVEE is already adopted by top-tier Web3 players, advanced startups, and listed corporate groups. We are also pursuing several partnerships to offer WAVEE as an OEM (white-label) solution to recruitment agencies and consumer-facing businesses.

In Spring 2026, we plan to raise 100 million yen in our Pre-Series A funding round. We look forward to collaborating with investors and corporate partners to scale this social-good platform. Thank you very much.

Questions & Answers

Commentator (Mr. Ito): Thank you, Mr. Hayakawa. You presented a very innovative concept combining Web3 and AI, and I had to process a lot of ideas.

I find the financial aspect of \"talent investment\" particularly fascinating. Funding education for youth and recouping the investment from their future earnings without placing a debt burden on them is a powerful concept. Was this investment ecosystem designed deliberately from the start?

Mr. Hayakawa: Exactly. Thank you for pointing that out. We are aiming to build a human capital investment model that does not place a debt burden on individuals.

Traditional student loans or Income Share Agreements (ISAs) place a heavy financial and psychological burden on candidates because they are legally obligated to repay the funds from their future salary.

Under WAVEE's model, if an investor funds tuition for a student, the student is tokenized on WAVEE. When they secure a job later, the investor is repaid automatically through the corporate matching fees. Furthermore, the investment rights (NFTs) can be traded on our marketplace, allowing initial investors to recoup capital early and reinvest in other talents. The candidates bear zero debt and can focus entirely on their growth.

Mr. Ito: Recouping capital early via secondary trading without candidate debt is a brilliant financial structure.

I also strongly agree with your point about corporate training. Many corporations are reluctant to invest in training employees because they often transition to other companies within three years. If corporations continue to receive returns after the employee transitions, it will encourage more training investment.

Since this business relies on network effects, scale and speed are critical. What is your strategy for scaling the platform rapidly?

Mr. Hayakawa: Indeed, this is a speed game driven by network effects.

To accelerate, we rely on our patent-pending AI matching technology, which allows us to close matches by focusing solely on candidate acquisition.

Additionally, we are actively offering WAVEE as an OEM (white-label) solution to consumer-facing businesses, media companies, and mid-sized recruitment agencies. Partner companies can connect their user base to WAVEE's shared network and earn recurring fees when their users get matched with other firms. This OEM strategy will allow us to scale our network exponentially, upgrading human capital infrastructure globally.

Mr. Ito: Using an OEM model to acquire users rapidly is a highly scalable strategy. I look forward to your upcoming Pre-Series A round and future growth.

Mr. Hayakawa: Thank you. We will put our full effort into scaling this business.