5 AI Tokens Attracting Sustained Capital During Market Uncertainty — Ozak AI Ranks First With Over $7 Million Raised

TheNewsCryptoОпубликовано 2026-05-21Обновлено 2026-05-21

Введение

Despite market uncertainty, investors are increasingly turning to AI-based tokens, with Ozak AI (OZ) leading as the top choice due to over $7 million raised in its presale. Priced at $0.014 in its seventh presale phase, the token has seen 14x growth from its initial $0.001. Analysts target a $1 price, supported by its unique predictive AI infrastructure that merges blockchain data with advanced models like Temporal Fusion Transformer for market forecasts. Ozak AI’s partnerships with Zeni and Echobit aim to enhance Web3 accessibility and trading. Other notable AI tokens include Bittensor (TAO) for decentralized AI training, Numeraire (NMR) for crowd-sourced hedge fund strategies, Cortex (CTXC) for on-chain AI execution, and SingularityNET (AGIX) as a decentralized AI marketplace. Ozak AI stands out for its strong capital inflow and real-world utility, positioning it as a key signal in the AI crypto sector.

Though the market is in Uncertain condition, Investors are looking for the AI-based token as an alternative Crypto inesvtment as they believe that the AI-based tokens are going to dominate the Crypto market in the upcoming years. There are 100s of the AI based tokens in the market, But Analysts suggest that the top 5 AI-based tokens, which have real AI utility and strong growth momentum, can outperform other Cryptos. At the top of the list, Ozak AI is leading the list, followed by Bittensor (TAO), SingularityNET (AGIX), Numerai (NMR), and Cortex (CTXC).

Ozak AI (OZ) — The Capital Leader in Predictive AI Infrastructure

The Ozak AI is currently priced at $0.014 in its 7th Presale Phase. The Ozak AI has raised over $7 million in presale funding so far. Over 1.2 billion OZ tokens have been sold so far. The Token has gained massive adoption from investors across the globe. The tokens have increased 14x in growth from the initial Phase, which was launched at $0.001. The Token has a targeted price of $1, and analysts predict that the token will soon reach the targeted price. The Ozak AI’s core technology merges AI and blockchain to produce AI predictive tools that can analyze real-time blockchain data. This unique technology feature makes the token lead the list.

Ozak AI’s Predictive Technology Stack Powering Next-Generation Crypto Intelligence

The Ozak AI’s advanced AI Technology stands out and gives the Real AI utility in which Other AI tokens and projects lack. The Ozak AI’s Advanced AI-driven technology is building a suite of real, high-demand AI tools. The Advanced Technology includes the AI-powered market prediction, automated trading support, and real-time sentiment analytics. The Advanced Predictive Models built for the financial markets use the world’s most advanced time series model. Temporal Fusion Transformer (TFT) learns which data points matter most using the attention and delivers high-accuracy multi-horizon price predictions and gives explainable forecasts. The Helformer is a rare hybrid model designed for volatile markets like crypto. It helps in short-term and long-term patterns and performs extremely well during the market shifts. The SegRNN detects the market Shifts and handles the sudden changes. such as Token unlocks, Liquidity shocks, and whale moves. These three models together give Ozak AI the strongest prediction engine in the AI token sector.

Strategic Partnerships Fuel Long-Term Growth

The Ozak AI-powered tools are partnering with Zeni and Echobit to make Web3 smarter, faster, and more accessible for everyone. Partnering with Zeni, which is an AI-powered Web3 growth engine that merges real-time market intelligence with community-driven engagement. Another partnership with Echobit, which is an exchange design for microsecond-order matching, merging with Ozak AI’s 30-ms market prediction.

Bittensor (TAO)

Bittensor is currently priced at $218.18 with a market cap of $2.2 billion. The 24-hour trading volume of Bittensor is $105.3 million, with a total supply of 21 million TAO. Bittensor continues to attract capital due to its unique approach to decentralized AI model training and incentives. As teh AI model marketplace with real economic incentives, a strong research-driven community, and long-term relevance to decentralized AI development, Bittensor is at the top of the list.

Numeraire (NMR)

The numeraire is currently priced at $9.22 with a market cap of $70.9 million. The 24-hour trading volume of Numerai is $7.3 million with a total supply of 10.65 million NMR. Numeraire blends AI, data science, and financial markets. The reason why the investors stay engaged is crowd-sourced AI models for the hedge fund strategies, Token utility tied directly to performance staking, and strong alignment with Quantitative finance. NMR’s capital inflow tends to remain stable when speculative appetite declines.

Cortex (CTXC)

Cortex is currently priced at $0.010 with a market cap of $2.5 million. The 24-hour trading volume of Cortex is $3 million, with a total supply of 299.79 million CTXC. Cortex focuses on enabling AI model execution directly on-chain. The capital flow for this token remains positive due to its enabling AI inference with teh smart contracts, Early movers in on-chain AI execution, and more technical relevance with Less retail hype. As AI functionality moves closer to execution layers, Cortex’s positioning gains relevance.

SingularityNET (AGIX)

The SingularityNET is currently priced at $0.088 with a market cap of $107.4 million. The 24-hour trading volume of AGIX is $48.4K with the total supply of 1.37 billion AGIX. SingularityNET remains one of the longest-running AI platforms in crypto. Why AGIX attracts teh capital is because of its decentralized Marketplace for AI services, Strong academic and research ties, and less speculative and more utility-driven adoption. During uncertain markets, longevity and real-world application often matter more than hype.

Final Perspective: Ozak AI Is Emerging as the Capital Signal

With its combination of massive presale funding, advanced AI technology, growing demand despite high prices, and quick presale sellouts, Ozak AI is at the top of the list. Because of this, Ozak AI is unique from other AI tokens. Capital quietly shows where confidence is found during uncertain times. Ozak AI is currently behaving more like a signal than a speculation among AI-focused cryptocurrency projects.

For more information about Ozak AI, visit the links below:

  • Website: https://ozak.ai/
  • Twitter/X: https://x.com/OzakAGI
  • Telegram: https://t.me/OzakAGI

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

TagsOzak AIPress Release

Связанные с этим вопросы

QAccording to the article, which AI token is ranked first for attracting sustained capital during market uncertainty and how much has it raised in presale?

AAccording to the article, Ozak AI (OZ) is ranked first. It has raised over $7 million in presale funding.

QWhat are the two strategic partners mentioned for Ozak AI, and what is the stated benefit of these partnerships?

AOzak AI is partnering with Zeni and Echobit. The partnerships aim to make Web3 smarter, faster, and more accessible for everyone.

QWhat are the three advanced predictive AI models that form Ozak AI's prediction engine, as described in the article?

AThe three advanced predictive AI models are the Temporal Fusion Transformer (TFT) for high-accuracy multi-horizon predictions, the Helformer for volatile markets, and the SegRNN for detecting sudden market shifts.

QList the other four AI tokens, besides Ozak AI, that are mentioned as attracting sustained capital.

AThe other four AI tokens are Bittensor (TAO), SingularityNET (AGIX), Numeraire (NMR), and Cortex (CTXC).

QWhat is the core reason given in the article for why investors are looking at AI-based tokens during market uncertainty?

AInvestors are looking at AI-based tokens as an alternative investment because they believe these tokens are going to dominate the cryptocurrency market in the upcoming years.

Похожее

$52M Ethereum Bet Comes As Tom Lee Says ETH Isn’t Reflecting Its Potential

Bitmine, holding over 5.4 million ETH worth more than $10.5 billion, is nearing its goal to control 5% of Ethereum's circulating supply. Despite the company's recent purchase of 26,497 ETH (valued at roughly $52 million), Ethereum's price has struggled, trading around $2,000 and even declining recently. Bitmine's head, Tom Lee, argues that ETH prices are not reflecting the strengthening fundamentals of the Ethereum network, attributing the lag to being in the early stages of a "crypto spring." He cites long-term trends like AI commerce and tokenization as reasons for Ethereum's enduring importance. Bitmine's strategy treats Ether as a long-term reserve asset, not a short-term trade, explaining why the massive accumulation hasn't yet triggered a corresponding price rally.

bitcoinist7 мин. назад

$52M Ethereum Bet Comes As Tom Lee Says ETH Isn’t Reflecting Its Potential

bitcoinist7 мин. назад

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

marsbit52 мин. назад

After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

marsbit52 мин. назад

Microsoft is Afraid of Being Marginalized by AI Giants

Microsoft, once the defining force of the PC era, now faces a familiar challenge in the AI age: the risk of being relegated to a profitable but invisible infrastructure provider. This anxiety was laid bare at Build 2026, where CEO Satya Nadella unveiled a major strategic pivot. The catalyst was a quiet April agreement that dissolved Microsoft's exclusive licensing and cloud-hosting deal with OpenAI, its once-vital partner. This erased Microsoft's key AI moat. With OpenAI and Anthropic defining AI applications and gaining enterprise traction—even within Microsoft's own ranks—Nadella had to answer: without exclusivity, what is Microsoft's role? The answer was a suite of seven in-house AI models, a developer-focused AI workstation (Surface RTX Spark Dev Box), and, most crucially, the Agent 365 platform for enterprise AI governance. The models, notably targeting Anthropic's strengths in coding and enterprise, signal a defensive move. However, the broader strategy is to make the models themselves less decisive. Financially, Microsoft's AI revenue is strong, driven largely by Azure running others' models. Yet its user-facing products like Copilot show weak penetration and engagement. Microsoft earns infrastructure money but lacks direct user mindshare. Nadella's core fear is being "hollowed out." As OpenAI and Anthropic prepare for IPOs and gain financial independence, they may build their own infrastructure, threatening Azure's lucrative AI revenue stream. Microsoft's window is to entrench itself deeper: not as the model creator, but as the indispensable platform for securely deploying, managing, and governing all AI models within the enterprise through Agent 365. Build 2026 revealed Microsoft's bet: in the AI era, the ultimate power lies not in any single model, but in the enterprise "operating system" that controls them. Nadella is determined to ensure Microsoft is the driver of this new era, not just a passenger.

marsbit1 ч. назад

Microsoft is Afraid of Being Marginalized by AI Giants

marsbit1 ч. назад

US Stocks Surge 16% in Two Months: Only 4 Occurrences in History, the Most Recent Was Just Before the 1987 Crash

U.S. stocks have surged 16% over April and May, a gain seen only four times since WWII, according to Deutsche Bank strategist Henry Allen. Three prior instances followed recessions, but the sole non-recession precedent was in early 1987, months before the "Black Monday" crash. The current rally is underpinned by AI enthusiasm and strong data, but its speed without an economic recovery is historically unprecedented. Meanwhile, credit spreads remain near record lows despite growing consumer strain—the U.S. savings rate hit just 2.6% in April, a level last seen before the Global Financial Crisis, and consumer sentiment is at its lowest since 1952. Market risks are concentrated. While stocks and credit markets appear immune to geopolitical tensions, sovereign bonds tell a different story. Treasury yields have tracked oil prices and recently hit multi-year highs, creating a widening divergence with equities. Surprisingly stable oil prices, despite the prolonged closure of the Strait of Hormuz, have been a key pillar for risk assets. However, if the blockage persists, this support could fade, raising the risk of a stagflation shock not currently priced in.

marsbit1 ч. назад

US Stocks Surge 16% in Two Months: Only 4 Occurrences in History, the Most Recent Was Just Before the 1987 Crash

marsbit1 ч. назад

CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

marsbit1 ч. назад

CPU, Quietly Returning to the Center of the AI Computing Power Stage

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片

Топ вопросы

Популярные категорииright-arrow

Популярные тегиright-arrow