Ondo Completes Oasis Pro Acquisition, Gains Major Licenses in U.S.

TheCryptoTimesPubblicato 2025-10-06Pubblicato ultima volta 2025-10-06

The acquisition grants Ondo Finance regulated infrastructure to issue and trade tokenized securities in the U.S., signaling an operational expansion.

Content:

Ondo Finance has announced that it has completed the acquisition of fintech infrastructure provider Oasis Pro. The deal gives the real-world asset (RWA) tokenization firm access to several regulated entities in the United States, including a broker-dealer, an Alternative Trading System (ATS), and a transfer agent.

Ondo Secures Major Licenses 

According to the official blog post from Ondo, Oasis Pro’s licenses include an SEC-registered broker-dealer for handling securities transactions, a FINRA-approved ATS for secondary market trading, and an SEC-registered transfer agent that manages securities ownership records. 

These assets provide the company with the necessary framework to operate under U.S. financial regulations, even though details of the transaction and launch timeline have not been disclosed yet.

Expanding into the U.S. regulatory environment

Ondo Finance has previously targeted non-U.S. investors with products such as tokenized U.S. Treasuries and money market funds, exceeding $300M in tokenized equity stocks. This acquisition marks a move toward offering similar services to the U.S.-based investors within a compliant structure.

The decision reflects a broader shift among blockchain firms seeking to align with existing securities laws rather than operate in unregulated spaces. The U.S. remains one of the most tightly regulated financial markets, making compliance a prerequisite for large-scale institutional participation.

Growing Influence of Tokenization Platforms

Ondo’s acquisition aligns with a growing trend of tokenization platforms acquiring or developing regulated infrastructure to support the issuance and secondary trading of tokenized assets. Similar efforts have been seen across the industry as firms aim to bridge blockchain-based products with traditional finance systems.

The acquisition also underscores how regulatory readiness has become a competitive factor in the RWA sector, as companies position themselves for future institutional adoption and oversight clarity.

Also read: Galaxy Digital Launches GalaxyOne Platform for U.S. Investors


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"World Models" has become a widely used yet confusing term in AI. To address this, a team led by Fei-Fei Li and World Labs proposed a functional taxonomy based on the Partially Observable Markov Decision Process framework. This taxonomy categorizes systems called "world models" into three distinct projections: Renderers, Simulators, and Planners. Renderers, like OpenAI's Sora and other video generation models, focus on producing photorealistic visual outputs for human perception. They prioritize visual fidelity over physical accuracy. Simulators, such as NVIDIA Omniverse, aim to compute precise future environmental states for computational tasks like engineering analysis or digital twins. Planners, like Vision-Language-Action models, take in observations and goals to output executable actions for robots or agents. The article clarifies that most current "world models," including Sora, are primarily Renderers. They generate convincing visuals but lack the core ability to simulate state transitions based on actions, a key requirement for a true world model in classic reinforcement learning definitions. This conceptual confusion has practical implications, leading to potential misalignment in technology selection, investment, and public understanding of AI capabilities. Clear categorization is crucial. It helps enterprises avoid costly mistakes (e.g., using a renderer for robot training), allows investors to accurately assess markets, and enables researchers to build comparable benchmarks. While future systems may integrate these functions, recognizing current boundaries is essential for honest assessment and progress.

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