Valuation at $1.25 Billion Post-SPAC Listing, Securitize to Issue "Real Equity" On-Chain Stocks

marsbit2025-12-19 tarihinde yayınlandı2025-12-19 tarihinde güncellendi

Özet

Securitize, a leading RWA (Real World Assets) platform, plans to launch native on-chain equity products by Q1 2026. Unlike synthetic or beneficiary tokenized stock models, Securitize will issue legally recognized shares directly on the blockchain, recorded on the issuer’s official cap table. Token holders will possess full shareholder rights, including dividends and voting. Valuing at $1.25 billion post-SPAC merger (ticker: SECZ), Securitize has already tokenized over $3 billion in assets through partnerships with major institutions like BlackRock (notably its $1.7B BUIDL fund), Apollo, KKR, and VanEck. Its investor base includes Coinbase, Morgan Stanley, BlackRock, and ARK Invest. The company aims to bridge TradFi and DeFi through compliant, regulated digital securities infrastructure, positioning itself as a key player in the institutional adoption of on-chain finance.

Author | DingDang (@XiaMiPP)

On December 17, the RWA platform Securitize announced plans to launch native on-chain stock products in the coming months, targeting the first quarter of 2026. Unlike most "stock tokenization" solutions on the market, Securitize will directly issue real, regulated shares on the blockchain, simultaneously recording them in the issuer's official share register; its tokens represent full shareholder rights, including dividends, proxy voting, and more.

On October 28 this year, Securitize disclosed that it would go public through a SPAC merger, with a post-merger valuation estimated at $1.25 billion and a stock ticker of SECZ. As a key player in the tokenized money market fund space, Securitize has partnered with traditional asset management institutions such as BlackRock, Apollo, KKR, Hamilton Lane, and VanEck, with cumulative tokenized assets exceeding $3 billion.

Amid the ongoing hype around the RWA narrative, Securitize, with its frequent moves, has become a market focus. Odaily Planet Daily will analyze it from a business perspective to help readers gain a deeper understanding of the company's layout and prospects.

Native On-Chain Stocks: Not "Price Mapping," but Legally Recognized Shares

To understand the importance of Securitize's product approach, it must first be placed within the overall structure of the current stock tokenization track. Most existing stock tokenization platforms can be broadly categorized into two mainstream models.

The first is the synthetic model. Early examples like Mirror Protocol and Synthetix fall into this category, where tokens track stock prices through derivative structures or oracle mechanisms, providing only price exposure without involving any real shares. Such products lack shareholder rights, carry counterparty risk and pricing deviations, and are essentially derivatives rather than equity.

The second is the beneficial interest model. For example, MSX typically involves the platform or a third-party custodian holding the real shares (usually 1:1 backed), issuing tokens that represent beneficial interests or claims to these shares. Holders gain economic exposure (such as price movements, possibly including dividend pass-through) but are not direct legal owners; the official share register records the custodian, not the token holder.

Different from these two paths, Securitize is attempting a third model—the native on-chain stock model. What Securitize plans to issue will be shares recognized in law as real stock, directly natively issued on the blockchain and simultaneously recorded in the issuing company's official share register. Token holders possess full shareholder rights, including dividends, proxy voting, etc. More crucially, Securitize itself, as an SEC-registered transfer agent, ensures that token holders are the direct legal owners, not holding indirectly via an intermediary or SPV. In other words, these assets are neither price trackers nor "IOUs" from a custodian.

However, it is undeniable that the complexity of the native on-chain stock model is significantly higher than that of synthetic or beneficial interest schemes. It must not only solve the problems of on-chain issuance and instant settlement but also simultaneously comply with securities regulations, corporate law, transfer agent systems, and a series of traditional financial rules, achieving seamless integration with existing financial infrastructure. In practical terms, this means higher compliance costs, longer development cycles, and each step being exposed to regulatory and institutional friction.

In contrast, the advantages of synthetic or beneficial interest schemes are obvious: faster implementation, lighter structure, lower costs, and easier compatibility with 24/7 trading and DeFi. The path chosen by Securitize aims not to "circumvent regulation" but to attempt, within the system, to truly eliminate the long-standing structural gap between the traditional financial system and the on-chain system.

It is under this choice that Securitize's position in the RWA track becomes clearer.

Securitize is Becoming One of the "Standard Answers" for RWA Infrastructure

Securitize was founded in November 2017 by Carlos Domingo and Jamie Finn, headquartered in San Francisco, California, USA. The company focuses on using blockchain technology to transform traditional financial assets (such as stocks, funds, bonds, private equity, etc.) into compliant digital securities.

This positioning directly determined Securitize's partners and business form. Securitize's most well-known case is providing tokenization services for BlackRock's BUIDL money market fund. To date, the fund size has exceeded $1.7 billion, making it the largest tokenized money fund product in the current RWA market.

In addition, Securitize has partnered with several traditional asset management institutions such as Apollo, KKR, Hamilton Lane, and VanEck. Official data shows that its cumulative tokenized assets have exceeded $3 billion. If the early days of RWA were more about "conceptual feasibility," then Securitize's business has begun to enter the verification stage of "institutional feasibility."

This "bridge" positioning is also clearly reflected in Securitize's financing and shareholder structure.

Public information shows that Securitize has raised approximately $122 million to $147 million through multiple rounds of private equity financing. Early investors mostly came from the crypto industry itself, including Coinbase, Ripple, etc. As the RWA narrative gradually clarified, its shareholder structure also changed significantly, with traditional financial giants such as Morgan Stanley and BlackRock entering one after another. The number of investors exceeds 50, and it has also received significant holdings from Cathie Wood's ARK Invest.

This process from "crypto circle recognition" to "Wall Street endorsement" is not accidental but a natural result of its business path and institutional choices.

Under This Logic, Moving Towards the Capital Market is Not Surprising

Securitize announced on October 28 that it would go public through a merger with the special purpose acquisition company (SPAC) Cantor Equity Partners II, Inc. After the transaction is completed, the company's valuation is expected to reach $1.25 billion, and it plans to trade under the ticker symbol SECZ.

Cantor Equity Partners II, Inc. (NSDQ:CEPT) is sponsored by a company under the financial services giant Cantor Fitzgerald, with its head being Brandon Lutnick, son of the U.S. Secretary of Commerce. Notably, Twenty One, the third-largest bitcoin reserve company, also went public through a merger with another SPAC under Cantor Fitzgerald, showing the group's continued layout in the crypto asset space.

To support the listing and public market operations, Securitize has also strengthened its compliance and governance capabilities, announcing the appointment of former PayPal digital assets legal head Jerome Roche as General Counsel, preparing for future continuous disclosure and regulatory communication on Nasdaq.

Conclusion

Returning to Securitize itself, as a leading project in the RWA track, the market's earliest expectation for it might have been just when it would issue a token. But judging from today's progress, this expectation itself might just be the inertial thinking of the crypto market.

What Securitize is ultimately moving towards is not a narrative stage centered around a token, but a larger structure composed of capital markets and regulatory systems. But this choice itself is not surprising. Because from the beginning, the role it has played has been closer to a bridge connecting TradFi and DeFi.

In this sense, Securitize's development path may reflect the profound transformation that the RWA narrative is undergoing, moving from imagination to reality, from concept to institution. How far this path can go depends not only on the expansion speed of a single company but also on whether the traditional financial system is truly willing to reserve a realistic space for "native on-chain assets."

İlgili Sorular

QWhat is the key difference between Securitize's planned on-chain stock product and existing stock tokenization models?

ASecuritize's native on-chain stock represents a direct, legally recognized share of ownership recorded on the company's official cap table, granting holders full shareholder rights like dividends and voting. This differs from synthetic models (which are just price-tracking derivatives) and beneficial interest models (where a custodian holds the real shares and issues an IOU token).

QWhat major traditional asset management firms has Securitize partnered with for its tokenization services?

ASecuritize has partnered with major traditional asset managers including BlackRock, Apollo, KKR, Hamilton Lane, and VanEck.

QHow is Securitize planning to become a publicly traded company and what is its expected valuation?

ASecuritize is planning to go public through a merger with a Special Purpose Acquisition Company (SPAC) called Cantor Equity Partners II, Inc. The combined company is expected to have a valuation of $1.25 billion and trade under the ticker symbol SECZ.

QWhat is the estimated total value of assets that Securitize has tokenized so far?

ASecuritize has cumulatively tokenized assets worth over $3 billion.

QWhat specific, large-scale product is Securitize most known for in the RWA market?

ASecuritize is best known for providing the tokenization services for BlackRock's USD Institutional Digital Liquidity Fund (BUIDL), which, with over $1.7 billion in assets, is the largest tokenized money market fund in the RWA market.

İlgili Okumalar

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit1 saat önce

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit1 saat önce

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit1 saat önce

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit1 saat önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit3 saat önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit3 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit3 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit3 saat önce

İşlemler

Spot
Futures
活动图片