Press Release
Safewrite AI Launches Platform for AI Humanization
United States, 12th May 2025, – Safewrite AI has invented a very powerful tool that can finally bring a huge sigh of relief to content creators. Many writers (and creators) are pretty much constantly stuck with AI-generated content authenticity issues they can’t just ignore. But now, there’s a solution that can help everyone, even teachers, speed up their writing sessions in a few short clicks. At the center of this release is the Private AI Humanizer. It’s a safe and adaptive rewriting model that completely changes AI-generated text into human-like content with full data privacy. The platform also includes a multi-engine AI Detection Suite, which means users can do both content refinement and verification.
The Private AI Humanizer is designed to meet this need by offering users personalized content that doesn’t have those generic paraphrasing patterns. It certainly reduces the likelihood of detection. Public rewriting services often give users a generalized output or store private data data. On the other hand, the Humanizer is completely private and looks after user confidentiality. The model takes a glance at sentence structure, tone, and rhythm to create text that matches the original author’s voice. This functionality can handle super long-form writing, academic material, professional communication, and other content where consistency and trust are really important.
David Mose, founder of Safewrite AI, commented on the release, “Detection systems are evolving quickly, and content creators are facing new challenges in keeping up with those changes. This platform was developed to meet that shift, not only by helping to refine AI-generated content, but by doing so in a way that protects privacy and mirrors real human writing patterns. The goal is to provide clarity, security, and adaptability in an increasingly complex content environment.”
The platform allows for the processing of documents up to 3,000 words in a single request and includes support for multiple languages. These capabilities were built in response to professionals who manage international projects or complex documentation requiring nuanced linguistic control. The multilingual support also enables broader application in academic and corporate settings, where language diversity and scale are common.
In addition to rewriting, the integrated AI Detection Suite combines results from multiple detection engines into a unified reporting system. Instead of just relying on a single source, users get a full overview of how their content is classed by different industry-standard tools. The result is a fuller understanding of originality risk. This result is supported by detailed analysis and detection metrics.
Safewrite AI’s platform is built to support professionals working in the education, publishing, legal, consulting, and digital marketing worlds. These industries usually deal with large volumes of content and work in spaces where content integrity is very closely watched. By offering a combination of verification and humanization features, the platform lets users strengthen quality assurance processes while lowering the time spent editing or rewriting AI-generated material by themselves.
Security and confidentiality are core components of the platform’s design. All rewriting takes place within a secure environment, and no user content is stored, reused, or shared. This commitment to privacy has made the platform suitable for institutions and enterprises that handle proprietary or sensitive material. Safewrite AI has emphasized that user data is neither indexed nor retained, ensuring that the platform can be deployed in high-compliance or high-stakes writing environments without risk of exposure.
Safewrite AI has outlined a roadmap for continued development. Planned updates include enhanced integration with major content management systems, expanded language support, and deeper customization of tone and formality settings. These updates are intended to increase accessibility and precision, particularly for organizations with specialized content needs.
The release of the Private AI Humanizer reflects a broader shift in content production, where AI is now part of the writing process but not without scrutiny. As institutions demand more transparency in authorship and originality, tools that adapt to this landscape while safeguarding privacy are increasingly essential.
Content creators looking to transform AI-generated text should explore SafeWrite AI’s Private AI Humanizer for advanced adaptation to detection algorithms, customizable writing styles, and superior privacy protection, or contact support@safewrite.ai for personalized assistance.
Media Contact
Organization: Safewrite AI
Contact
Person: David Mose
Website:
https://safewrite.ai/
Email:
support@safewrite.ai
Country:United States
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Press Release
VTrader Unveils AI-Powered Price Prediction Tool to Redefine Market Intelligence in Crypto Trading
Delaware, US, 18th July 2025, VTrader, an AI-native financial intelligence platform for digital asset markets, announced the launch of its AI Price Prediction Tool, a proprietary system designed to deliver real-time, predictive insights into cryptocurrency price movements. Unlike conventional platforms that rely on pre-set dashboards and backward-looking indicators, the new tool integrates real-time price data with breaking news, social sentiment, and on-chain metrics to produce contextually informed forecasts.
The AI Price Prediction Tool leverages a multi-layered architecture that combines language modeling, financial semantic analysis, and asset-specific behavioral modeling. This structure enables the system to evaluate both structured and unstructured data including market signals, regulatory developments, analyst commentary, and crypto-native activity such as token unlocks or network congestion to generate accurate, timely predictions for traders and institutions.
“At VTrader, we aim to empower our users with insights they can’t get anywhere else. In markets driven by noise, information is your edge. Trade with AI signals — not emotion or hype — and position yourself to thrive when the upside comes,” said Steve Gregory, Founder of VTrader
A Three-Layered Intelligence Stack
- Generative Language Layer – Context at Scale
Powered by a proprietary Large Language Model (LLM), this layer digests vast volumes of unstructured data — from regulatory filings and analyst notes to breaking financial news, social media sentiment, and global economic indicators. It enables broad contextual awareness across markets, regions, and narratives.
- Financial Semantic Layer – From Noise to Signal
This layer structures the chaos. By incorporating domain-specific financial knowledge, it captures subtle but critical differences between genuine market-moving events and hype. Whether it’s a footnote in an analyst report or a sudden spike in on-chain stablecoin flows, this layer identifies tone, urgency, and relevance with precision.
- Investment Methodology Layer – Volatility Modeled in Code
Tailored to the unique behavior of each asset, this layer learns from a cryptocurrency’s historical data, price cycles, and qualitative signals to model future movement. It aligns predictive outputs with how value, risk, and timing have manifested in the past — ensuring forecasts are not only data-rich but also contextually grounded.
Purpose-Built for the 24/7 Crypto Market
Unlike traditional models that overlook the nuances of decentralized markets, VTrader’s system is optimized for crypto-native variables. It integrates insights around token unlock schedules, protocol-level congestion, IEOs, policy shifts, gas fees, options and futures expirations, hash rate changes, and more — offering a complete signal layer for digital assets.
Whether you’re managing a treasury, building a trading strategy, or simply staying ahead of the market narrative, the AI Price Prediction Tool from VTrader provides a new kind of intelligence: predictive, explainable, and always on.
About VTrader
VTrader is an AI-native trading intelligence platform that bridges traditional financial analytics with the dynamic world of crypto. By combining generative AI, market semantics, and historical modeling, VTrader empowers users with predictive insights that adapt to the ever-evolving digital asset landscape.
For more information, please visit https://www.vtrader.io/
Media Contact
Shilika Jain
Head of PR
shilika@myosin.xyz
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Press Release
Daman Investments Backs Web3 Sector With Strategic Investment Focus Across Four Key Verticals
Dubai, UAE, 18th July 2025, ZEX PR WIRE, Daman Investments, one of the UAE’s most trusted non-banking financial institutions and among the region’s pioneering investment firms, today announced a strategic expansion into Web3, reinforcing its commitment to shaping the future of digital innovation.
Backed by its principal shareholder and Chairperson, Shehab Gargash, Daman is positioning itself at the forefront of the Web3 revolution through a newly defined investment thesis. The firm has identified four key verticals for focused investment across the decentralized ecosystem:
- Consumer dApps
Daman will prioritize investments in Web3 consumer applications that deliver real-world utility. Building on its legacy of sector-agnostic technology investments, the group has already made a significant investment in myco, a UAE-based Web3 video streaming platform poised to become one of the leading consumer dApps globally.
- Brokerage & Payments
Recognizing the growing need for regulated crypto services, Daman has incubated Daman Virtual*, a soon-to-be VARA-licensed entity focused on crypto brokerage and payments. This arm of the business will drive innovation in digital asset transactions and serve as a gateway to the crypto economy.
- Web3 Loyalty Infrastructure
Leveraging the Group’s footprint in consumer banking, hospitality, and mobility, Daman is keen to invest in Web3 startups building next-generation loyalty solutions across MENA. These platforms are expected to redefine customer engagement through token-based rewards and interoperable loyalty programs.
- AI-Powered Web3 Ventures
Daman also announced a strong investment interest in the convergence of AI and Web3. The firm has made its first move by backing A47, a UAE-based decentralized news network powered by AI agents, aiming to disrupt how news is created, distributed, and monetized.
To further its vision in this space, Daman Investments has appointed globally recognized Web3 strategist and venture investor Momin Saqib as their Web3 Advisor, with an initial focus on the global success of #A47. Under his guidance, Daman plans to explore deeper engagement with emerging web3 technology and founders shaping the decentralized future.
“We believe Web3 will play a foundational role in the future of finance, media, consumer tech, and infrastructure,” said Ahmed Khizer Khan, CEO of Daman Investments. “Through calculated investments and strategic partnerships, we aim to empower disruptive startups that align with our vision for a more open, decentralized, and AI-integrated digital economy.”
*Daman Virtual is in the process of obtaining a license from the Virtual Assets Regulatory Authority (VARA) in Dubai and is currently not offering any regulated services
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Henry W. Johanson, a distinguished figure in global finance, has built a legacy grounded in foresight, integrity, and innovation. Born in Boston in 1965, Johanson developed an early fascination with economics, which would guide the course of his life. He earned his undergraduate degree in economics from Harvard University and later completed a Ph.D. in Finance from Harvard Business School in 1995, establishing a robust foundation in economic theory and financial strategy.
With over 25 years of hands-on experience in the financial sector, Johanson has consistently demonstrated a unique ability to anticipate global macroeconomic trends and translate them into transformative investment strategies. His professional journey took a pivotal turn in 1998 when he joined Morgan Stanley, where he quickly rose to lead its asset management division. By 2005, he had become a senior advisor within the department, overseeing over $60 billion in fund assets. Under his leadership, the firm navigated turbulent financial cycles with resilience, delivering steady returns to institutional and high-net-worth clients.
What sets Johanson apart is not only his analytical acumen but also his boldness in emerging sectors. He is best known for his landmark investments in semiconductor technology and blockchain finance. Perhaps his most celebrated success is his early investment in NVIDIA (NVDA). Recognizing the company’s potential to become a linchpin in artificial intelligence (AI) and deep learning, Johanson began acquiring shares in 2016, the year NVIDIA launched its AI-optimized DGX-1 system. Between 2016 and 2024, NVDA stock soared over 4,500%, validating his foresight. In early 2024, he partially exited at a strategic high, locking in exceptional gains while maintaining a long-term outlook on the company’s role in AI infrastructure.
Similarly, in the blockchain domain, Johanson was ahead of the curve. In 2022, during a time of skepticism and market downturn, he made a substantial investment in Coinbase (COIN), the largest publicly traded cryptocurrency exchange in the U.S. His thesis rested on the long-term value of regulated digital asset platforms. By 2024, COIN shares had surged over 700%, proving yet again Johanson’s ability to identify asymmetric opportunities in volatile markets.
Johanson’s investment philosophy combines deep macroeconomic insight, robust risk control, and disciplined asset allocation. He emphasizes long-term value over short-term speculation, particularly in disruptive technology sectors. His approach integrates traditional financial modeling with modern tools, including AI and data analytics, to enhance predictive accuracy and scenario planning.
In 2020, Johanson channeled his knowledge into a new endeavor: founding the Inteviron Capital Institute. This initiative reflects his commitment to financial literacy and strategic thinking. The Institute offers research, education, and advisory services aimed at empowering the next generation of investors. It also serves as the incubator for Gemini AI, a next-gen financial intelligence platform that leverages machine learning to deliver real-time market insights and investment strategy recommendations.
Beyond his financial success, Johanson is a staunch advocate for responsible investing and education. He believes that true investment mastery lies not just in accumulating wealth, but in elevating one’s understanding of global systems and using that insight to create sustainable impact. He has pledged considerable resources to philanthropic efforts in education, sustainability, and technology research.
Looking ahead, Henry W. Johanson remains a dynamic force in global finance. His journey from Harvard to hedge fund halls, and now to the frontier of AI-powered investment education, reflects a lifelong commitment to intellectual rigor and strategic innovation. For Johanson, the ultimate goal is not merely navigating markets—it is shaping them for the better.
Disclaimer: The information provided in this press release is not a solicitation for investment, nor is it intended as investment advice, financial advice, or trading advice. It is strongly recommended you practice due diligence, including consultation with a professional financial advisor, before investing in or trading cryptocurrency and securities.
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
VTrader Unveils AI-Powered Price Prediction Tool to Redefine Market Intelligence in Crypto Trading
Daman Investments Backs Web3 Sector With Strategic Investment Focus Across Four Key Verticals
Henry W. Johanson: A Visionary Investor Shaping the Future of Finance
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