Experts compare Ozak AI’s presale momentum to the 2018 BNB rally, which made early investors into billionaires. With $4.55 million in presale investment already raised, experts see Ozak AI’s presale momentum matching the BNB 2018 surge.

BNB began trading at less than $1, and by mid-2018, it had risen to a high of $24, representing a 75% increase and a big profit for BNB investors. Analysts expect similar possibilities in the Ozak AI presale phase, which currently provides a significant ROI for early investors prior to launch.

Presale Momentum: From $0.001 to $0.014 and Beyond

Ozak AI is in its current presale phase priced at $0.014. At The time of the launch The Ozak AI was priced at $0.001 anmd now it has increased 1300% from The launch phase. The previous 6th presale phase recently closed with $4.46 million worth of OZ tokens sold in the presale phase. Over 1.01 billion OZ tokens have been sold so far. Investors are entering into the current presale phase to secure more tokens before the current presale ends, as the next presale will launch with the price hike. Analysts predict that due to the massive adoption of the token, It will deliver 800x by the end of 2030.

The Math Behind Ozak AI’s 800× Growth Projection

At the current presale price of $0.014, $100 invested in Ozak AI will secure 7,100 OZ tokens. Analysts estimate that the token will achieve the anticipated price within the specified time period. If the token hits its listed target price of $1 by the end of 2026, the secured tokens will be valued at $7,100, representing 71x growth and a 7,042% rise. If the token hits $5 by the end of 2027, the secured tokens will be worth $35,700, representing a 350x increase. If the token hits $7 by 2028, the $100 investment will be worth $50,000, representing a 500x return. If the token achieves $10 by the end of 2029, the secured tokens will be valued $71,400 with 700x and If the token hits the $11.20 milestone, the secured tokens will be worth $80,000, representing an 800x increase. This converts the tiny investment into a substantial return.

The Technology Powering Ozak AI’s Growth

The Ozak AI’s strong technology merges AI and the Blockchain To produce the AI predictive Tools. This makes the Ozak AI to be Unique among the Other AI based Cryptos. The Ozak AI’s Advanced Technology consist of Smart Contract Execution Layer which plays a major role in the Ozak AI technology. It controls the work distribution, payments to node operators, and staking. It uses Rollup technology to make all actions cheaper and faster. The Ozak Data Vaults are the secure storage lockers of Ozak AI. It stores all financial data in the encrypted NoSQL databases. The access is controlled by a Smart contract, where the authorized users can access it.

Partnerships Driving Growth and Market Adoption

The Ozak AI’s strategic collaboration with Gremory AI and Watch AI helps to integrate the technology across multiple blockchain ecosystems and boost demand for its token utility. Before the Ozak AI makes its market prediction, liquidity is moved across DLMM pools like Metera with the assistance of Gremory AI, a Solana liquidity engine.  Ozark AI’s fast prediction agents are now teamed up with WatchAI to make sure trades and AI actions are safe and trustworthy.

Final Thought: Could Ozak AI Be the “BNB of the AI Era”

The BNB has emerged as one of the most strong cryptos following the 2018 surge, which provided many investors with a significant ROI. Ozak AI, with its powerful AI-driven blockchain technology, Presale momentum, and Strategic Partnership, is one of the most promising tokens of the year, matching the BNB surge. Investors aiming for long-term profits may find Ozak AI to be the token that may transform a tiny investment into a massive 800x if the market supports it and presale momentum increases.

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

Warburg Pincus has agreed to acquire a majority stake in Raptor Technologies, a leading provider of safety software solutions for K-12 schools, from fellow investment firm Thoma Bravo, in a transaction that values the company at approximately $1.8 billion, according to sources familiar with the confidential matter.

The deal, which could be announced imminently, represents a significant transaction in the growing mission-critical software sector, driven by escalating demand for school safety technology.

The acquisition sees Warburg Pincus take control of the Houston-based technology firm following a period of rapid expansion under Thoma Bravo’s ownership. This sale was anticipated, as Reuters had reported in September that Thoma Bravo was exploring a sale of Raptor Technologies, which was expected to potentially fetch more than $2 billion based on reported EBITDA of over $80 million.

As part of the new ownership structure, JMI Equity, another existing investor that has partnered with Raptor since 2021, will retain a significant minority stake in the company, reinvesting alongside Warburg Pincus. This continuity of investment from JMI suggests confidence in Raptor’s continued growth trajectory and market leadership.

The deal is expected to officially close in January 2026. Representatives for Warburg Pincus and Thoma Bravo declined to comment on the transaction, and Raptor Technologies and JMI Equity did not immediately respond to requests for comment.

Raptor Technologies specializes in providing a comprehensive suite of safety software solutions for the K-12 education market, covering the entire school safety lifecycle. Its globally integrated product portfolio supports key functions, including:

• Crisis Prevention and Preparation: Tools for risk assessment and protocol development.
• Emergency Response and Recovery: Technology to manage real-time communication, reunification, and recovery efforts during crises.
• Safe Student Movement Management: Systems for visitor management, attendance automation, and controlled dismissal tracking.

The crucial nature of Raptor’s technology has made it increasingly sought-after, particularly in light of the continuous rise in school-based security incidents, including school shootings. Raptor’s website states that its platform is currently used by 60,000 schools across 55 countries, underscoring its broad market penetration and the critical demand for its Software-as-a-Service (SaaS) products.

The Thoma Bravo Legacy

Thoma Bravo’s four-year tenure as the majority owner was characterized by aggressive growth and strategic expansion. The firm, a leading software-focused private equity investor, partnered with Raptor and JMI Equity in 2021 and was instrumental in scaling the business, overseeing six strategic acquisitions. These acquisitions included UK-based CPOMS in 2021 (a leading provider of student safeguarding software) and SchoolPass in 2023 (a provider of cloud-based attendance and dismissal automation). These deals helped Raptor expand its platform beyond basic visitor management to encompass emergency management, student well-being, and campus movement solutions, transforming it into a comprehensive leader in school safety software globally.

The sale to Warburg Pincus, a global private equity firm with extensive experience in the technology and education technology sectors, signals the next phase of growth for Raptor, likely focusing on continued platform integration and international market expansion.

NatWest in Exclusive Talks to Offload Cushon Stake to Willis Towers Watson in Strategic U-Turn

Meanwhile, NatWest Group has entered exclusive talks to sell its 85% stake in the workplace pension provider Cushon to U.S. insurance broker Willis Towers Watson (WTW), a deal that signals a major strategic shift under the British bank’s current leadership.

The negotiations come barely two years after NatWest acquired control of the fintech firm.

According to people familiar with the confidential matter, the potential transaction could value Cushon at more than £150 million ($198.06 million). Both NatWest and WTW have remained publicly tight-lipped, with NatWest stating only that its “focus remains on delivering for our customers.”

The sources cautioned that discussions remain fluid and a transaction is not guaranteed.

The potential sale marks a sharp reversal of NatWest’s expansion into financial technology under former CEO Alison Rose.

NatWest paid £144 million for its 85% stake in Cushon, leaving management with the remaining 15%. This purchase was part of a broader rush by major UK lenders to acquire smaller, agile fintech firms to expand their product ranges and appeal to younger customers.

Cushon, known for its digital-first pension tools, has grown into a notable workplace pension and savings provider. As of early 2025, it manages roughly £3 billion in assets and serves more than 650,000 members across more than 21,000 employers. Its digital platform was originally intended to complement and modernize NatWest’s customer offerings.

Under current CEO Paul Thwaite, NatWest has pushed to simplify the bank’s structure and refocus on traditional core growth areas, such as mortgage lending and business banking. Industry analysts note that this shift makes divestment of non-core fintech investments, even those recently acquired, more likely. The discussions fit into a broader pattern of reassessment among big lenders after years of chasing high-growth fintech strategies.

A successful sale to Willis Towers Watson would be one of the most significant fintech exits involving a major UK bank this year. For WTW, the acquisition of Cushon’s digital platform and scale would serve to add significant scale to its existing workplace pensions and employee-benefits operations, strengthening its position in the competitive UK retirement market.

The negotiations continue behind closed doors, with both sides weighing the valuation, timing, and strategic fit. If the deal progresses, it would effectively unwind one of NatWest’s flagship fintech purchases, while potentially giving Cushon a new international owner at a moment when competition and consolidation in workplace pensions remain intense.

India’s Adani Group is positioning itself at the center of the country’s surging artificial intelligence infrastructure boom, with plans to invest as much as $5 billion in Google’s massive AI data center project in Andhra Pradesh.

The move, outlined Friday by Adani Group CFO Jugeshinder Singh, marks one of the conglomerate’s most aggressive commitments yet to the data infrastructure sector. Singh said the Google partnership would fall under Adani Connex, the joint venture between Adani Enterprises and U.S. data center operator EdgeConneX.

“This project could mean an investment of up to $5 billion for Adani Connex,” Singh told reporters, adding that interest goes far beyond Google. “There are a lot of parties that would like to work with us, especially when the data center capacity goes to gigawatt and higher.”

The comments come as Alphabet-owned Google prepares a $15 billion investment over five years to build an artificial intelligence data center campus in Visakhapatnam, in the southern state of Andhra Pradesh. Announced in October, it stands as Google’s largest-ever investment in India and one of its biggest data infrastructure projects globally.

Google alone has committed about $85 billion this year to expanding its data center footprint, an enormous outlay driven by accelerating demand for AI services.

A Data Arms Race Driven by AI

AI workloads demand extraordinary computing power, and these projects require vast, specialized data centers capable of linking tens of thousands of chips in tight clusters. Tech companies worldwide are locked in a race to build and electrify such facilities at an unprecedented scale.

This global surge has rippled through India, where internet usage, smartphone penetration, digital payments, and government digitalization programs have made the country one of the most data-heavy ecosystems in the world. The rollout of AI is intensifying that growth.

India’s billionaire industrialists—most notably Gautam Adani and Mukesh Ambani—have each sketched out multi-billion-dollar strategies to dominate the data infrastructure landscape, a sector they now view as central to future economic influence.

Why Andhra Pradesh Matters

The Visakhapatnam campus gives both Google and Adani a strategic foothold on India’s east coast. The facility’s initial 1 gigawatt power capacity signals the ambition behind the venture. Very few data center projects in Asia begin at that scale.

Andhra Pradesh is positioning itself as a rising digital infrastructure hub, offering both land and power availability—two constraints that limit data center construction in megacities like Mumbai and Bangalore.

For Adani, already active in ports, power, airports, renewables, copper, cement, and now AI infrastructure, this partnership reinforces its strategy to build the foundational infrastructure for both India’s physical and digital economies.

Singh hinted at a broader ecosystem play. If hyperscalers want tens of gigawatts of power, India will need industrial groups capable of building highly complex, energy-intensive campuses quickly and at scale.

“It’s not just Google,” he said. “There are a lot of parties that would like to work with us.”

That statement highlights how India’s emerging AI infrastructure market has shifted from a niche corner of the tech sector into a major commercial battleground attracting global players.

India’s Broader Data Centre Boom

India’s data-center expansion has moved from a gradual build-out to a fast, sustained surge. A few forces are driving this shift.

India has become one of the world’s most active data markets. Affordable smartphones, widespread 4G use, the expansion of fiber backbones, and platforms built around payments, logistics, and entertainment have driven an unprecedented rise in data creation and storage needs. Every major cloud provider — Amazon Web Services, Google Cloud, Microsoft Azure, Oracle — is scaling up capacity.

The next leap is being fueled by AI. Large-scale model training, inference workloads, and enterprise automation have pushed demand for high-density data centers far higher than traditional cloud workloads.

Several Indian states are now competing to become data-hub destinations. They are offering packages that include:

• low-cost land
• long-term power supply agreements
• renewable-energy access
• special industrial zones with pre-approved permits

Maharashtra, Tamil Nadu, Uttar Pradesh, Telangana, and Karnataka have all announced dedicated policies to attract hyperscalers. Andhra Pradesh, where Google is building its new campus, has joined that list with aggressive land-allocation and electricity-availability promises.

However, high-power availability is becoming the dividing line between states that can host next-generation AI data centers and those that cannot. India’s planned AI campuses are already moving toward capacities of 500 megawatts to 1 gigawatt per site, which requires grid overhauls and access to renewable power.

Companies like Adani and Reliance have a structural advantage here because they already run major electricity, renewables, and transmission businesses. Their ability to integrate power production with data-center construction is a big part of why they are emerging as anchor players.

Rising Investments from Indian Conglomerates

Reliance is building out its multi-gigawatt data-center roadmap through partnerships with global firms, while Adani Connex has announced aggressive expansion plans across Chennai, Noida, Hyderabad, and Pune.

Both groups view data centers as long-term strategic assets — similar to telecom towers two decades ago — that will define the backbone of India’s digital and AI economy.

Google’s $15 billion AI build-out is the latest in a string of commitments from global players. Microsoft has accelerated projects in Maharashtra and Telangana. Amazon Web Services is expanding its clusters near Mumbai and Hyderabad. Oracle and IBM have been adding incremental capacity.

None of these projects is small. Many involve multi-billion-dollar anchor phases with room for further expansion.

With Google’s project moving ahead, Ambani’s Reliance scaling its data ambitions, and Adani Connex preparing for what could become one of its biggest bets yet, India’s AI-driven data-center race is entering a new phase — larger, more competitive, and increasingly central to global tech strategy.