TrustedTech Unveils Bold Rebrand to Lead the Next Generation of AI and IT Modernization
This evolution isn't about a new name and logo, it's about rising to meet the moment
Share
'This evolution isn't about a new name and logo, it's about rising to meet the moment,' said Julian Hamood, Founder of TrustedTech. 'Every part of our rebrand was to allow our current and future customers the ability to access sophisticated technologies while minimizing time-to-value in today's fast-moving technology landscape. It's not just a better version of who we were, but the best form of who we will be for businesses who need a true partner to help them navigate AI adoption, modernize legacy systems, and make smarter, faster technology decisions.'
TrustedTech's new phase brings expanded offerings that include: Microsoft Copilot implementation, Azure infrastructure tenant migrations, Microsoft 365 optimization, security hardening, and tailored licensing advisory and a more comprehensive list of professional services and technical break/fix support - especially for those going through mergers & acquisitions.
As businesses adopt more advanced and complex technologies, they're usually met with fragmented software solutions across multiple teams, rising technical debt, and limited internal bandwidth. Since its first launch in 2017 as 'Trusted Tech Team,' TrustedTech has stepped in to bridge that gap, offering not just tools, but the hands-on expertise, strategic guidance, and scalable support organizations need to make meaningful progress. Since expanding its services arm in early 2022, TrustedTech has already seen major acceleration in:
Named Microsoft Managed Partner: In FY26, TrustedTech has been upgraded to being a Microsoft Managed Partner, an engagement status reached by fewer than 1% of Microsoft's global partner ecosystem of over 400,000 partners. This milestone reflects the Company's deep commitment to delivering innovative, secure, and scalable solutions built on Microsoft technologies and enables greater collaboration with Microsoft to deliver even more value to our clients.
Services as the Growth Engine: Over the past 24 months, Professional Services in Modern Work, Azure, and Custom Solutioning have surged 5.2x, powering large-scale transformation projects for customers worldwide.
Beyond Microsoft Licensing: While renowned as a Microsoft licensing authority, the company's portfolio now includes high-demand solutions from other leading vendors in cybersecurity, disaster recovery, and backup, which have also posted explosive growth this year.
Holistic Services Growth: Across professional services, paid support, and expanded product offerings, services revenue has grown over 11x, driven by a 6x expansion in paid-support and enterprise delivery talent.
Enterprise Market Penetration: Now supporting much larger organizations and aggressively expanding into enterprise support, Trusted Tech Team is positioned as a full-stack technology partner integrating licensing, cloud, security, and business continuity.
'Our customers are navigating rapid technology shifts that demand smarter strategies and reliable support,' added Hamood. 'We're committed to empowering IT leaders to confidently adopt AI, optimize cloud environments, and modernize their infrastructure, delivering practical solutions that drive real business outcomes. TrustedTech is here to turn complexity into clarity, so our clients can focus on growth and innovation.'
For more information about TrustedTech and its Microsoft cloud licensing solutions and support, visit trustedtechteam.com
ABOUT TrustedTech
TrustedTech is a leading Microsoft Cloud Solutions Provider (CSP) specializing in Microsoft Cloud support services, perpetual licensing, and comprehensive professional services for medium and enterprise-sized organizations. TrustedTech is a member of the Microsoft Partner Network to ensure the delivery of industry-leading customer experiences. Known for combining competitive pricing with licensing optimization, TrustedTech excels at helping IT teams navigate complex Microsoft 365 and Azure environments. Its teams across the U.S. and U.K. are highly certified Microsoft architects and engineers are among the world's top experts—resolving advanced technical challenges faster than typical industry SLAs. TrustedTech has achieved all available Microsoft Solutions Partner designations in the Microsoft Cloud Partner Program and continues to expand its capabilities to support customers through AI adoption, cloud modernization, and digital transformation initiatives.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Business Wire
18 minutes ago
- Business Wire
Rosen Law Firm Encourages Telix Pharmaceuticals Ltd. Investors to Inquire About Securities Class Action Investigation
NEW YORK--(BUSINESS WIRE)--Why: Rosen Law Firm, a global investor rights law firm, announces an investigation of potential securities claims on behalf of shareholders of Telix Pharmaceuticals Ltd. (NASDAQ: TLX) resulting from allegations that Telix may have issued materially misleading business information to the investing public. So What: If you purchased Telix securities you may be entitled to compensation without payment of any out of pocket fees or costs through a contingency fee arrangement. The Rosen Law Firm is preparing a class action seeking recovery of investor losses. What to do next: To join the prospective class action, go to or call Phillip Kim, Esq. toll-free at 866-767-3653 or email case@ for information on the class action. What is this about: On July 22, 2025, Telix disclosed receipt of a subpoena from the U.S. Securities and Exchange Commission, which was 'seeking various documents and information primarily relating to the Company's disclosures regarding the development of the Company's prostate cancer therapeutic candidates.' On this news, Telix's American Depositary Receipt ('ADR') price fell $1.70 per ADR, or 10.44%, to close at $14.58 per ADR on July 23, 2025. Why Rosen Law: We encourage investors to select qualified counsel with a track record of success in leadership roles. Often, firms issuing notices do not have comparable experience, resources, or any meaningful peer recognition. Many of these firms do not actually litigate securities class actions. Be wise in selecting counsel. The Rosen Law Firm represents investors throughout the globe, concentrating its practice in securities class actions and shareholder derivative litigation. Rosen Law Firm achieved the largest ever securities class action settlement against a Chinese Company at the time. At the time Rosen Law Firm was Ranked No. 1 by ISS Securities Class Action Services for number of securities class action settlements in 2017. The firm has been ranked in the top 4 each year since 2013 and has recovered hundreds of millions of dollars for investors. In 2019 alone the firm secured over $438 million for investors. In 2020, founding partner Laurence Rosen was named by law360 as a Titan of Plaintiffs' Bar. Many of the firm's attorneys have been recognized by Lawdragon and Super Lawyers. Attorney Advertising. Prior results do not guarantee a similar outcome.
Fast Company
18 minutes ago
- Fast Company
The future of manufacturing depends on empowering workers
There is a very real anxiety around automation, especially in America—where once-thriving communities have been gutted by waves of displacement, offshoring, and the unchecked application of technology. The narrative around manufacturing automation has long been framed as a zero-sum game: Either humans do the work, or machines do. But that binary thinking is outdated and dangerous. Not only does it threaten millions of livelihoods, but it jeopardizes innovation and efficiency. It overlooks a more powerful and sustainable vision for manufacturing's future, one where AI empowers people instead of replacing them. AI is key to a more resilient workforce and more competitive industries. And when people leverage manufacturing intelligence platforms, they can outperform full automation. Manufacturing at the crossroads America's manufacturing sector is at a crossroad. On one hand, we face a growing shortage of skilled labor amid major sector growth. Companies are announcing new factories in the United States every month, but the National Association of Manufacturers projects that by 2030, more than two million manufacturing jobs could go unfilled due to a lack of qualified workers. On the other hand, we're in the middle of an extraordinary wave of technological advancement—AI, augmented reality, robotics, and more. By using AI to make expertise more accessible, repeatable, and scalable, we can build a more efficient and safer workforce—and actually fill our empty jobs. Today's factory jobs are more art than science, where years of built-up knowledge are critical to getting things done the right way. They rely on software, sensors, and split-second subjective decisions. But the tools on the factory floor haven't evolved past a checklist and a hope. We're asking workers to operate with 20th-century instructions in a 21st-century environment. Manufacturing intelligence platforms aid operators Empowerment in a 21st-century environment starts with manufacturing intelligence platforms. It involves equipping operators with the context and support they need to thrive on the factory floor. A new hire should be able to perform a task with the confidence of a 10-year veteran. Seasoned workers should be free to focus on high-value tasks where their expertise has the greatest impact. And those on the frontline of work should have the tools and agency to shape the future of AI—imagining potent use cases no boardroom could conceive. This vision is not just better for operators. It's better for business. The most forward-thinking companies aren't chasing full automation. They're investing in tools that help their people work smarter, faster, and with more precision. They recognize that machines can't replicate everything humans do. The real opportunity lies in upskilling and empowering people, not replacing them. And this vision is better for national competitiveness. As stress on global supply chains intensifies, the United States faces a defining challenge: to rebuild and reimagine industrial strength. The future of American manufacturing depends on revolutionary efficiency and innovation for the people actually doing the work. Human adaptability is a competitive advantage, not a liability, and human intelligence enhances artificial intelligence just as much as the reverse. To deliver that efficiency where it matters most and truly expand domestic capacity, we need to harness the power of AI to accelerate human potential. Make progress There's a broader economic and cultural truth here, too. Manufacturing isn't just about making things. It's about making progress. And progress requires us to unlock the full capabilities of our people. America's strength in the 20th century didn't come from labor automation. It came from the transformation of it. From the GI Bill to labor protections to the rise of technical education, we invested in our people. And now, as we enter a new industrial era, we have a chance to do it again. This time with smarter tools, more connected systems, and a deeper understanding of what humans are best at: problem solving, adaptability, and creativity.
Forbes
19 minutes ago
- Forbes
The AI Bubble Paradox: Why OpenAI's $500 Billion Valuation Proves The Opposite
It's an odd spectacle: Sam Altman warning about an AI bubble while his company, OpenAI, rockets toward a $500 billion valuation. If there's more obvious proof that we're not in traditional bubble territory, it's hard to imagine what it might be. Speaking to The Verge, Altman acknowledged what many observers already suspected. "If you look at most of the bubbles in history, like the tech bubble, there was a real thing. Tech was really important. The internet was a really big deal. People got overexcited. Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes," he said. But here's where Altman's bubble warning breaks down into paradox. In the same conversation where he cautioned about investor overexcitement, he casually mentioned expecting OpenAI to spend "trillions of dollars on its data center buildout in the not very distant future." His attitude toward the inevitable criticism? "You should expect a bunch of economists wringing their hands, saying, 'This is so crazy, it's so reckless,' and we'll just be like, 'You know what? Let us do our thing.'" This isn't the language of someone truly concerned about unsustainable speculation. It's the confidence of someone who sees the long-term trajectory clearly, even if the short-term valuations seem frothy. The Infrastructure Reality Check The numbers backing Altman's confidence are staggering. OpenAI just secured $8.3 billion in new funding at a $300 billion valuation round that was five times oversubscribed. Employee share sales could push the company's valuation to $500 billion, making it one of the most valuable private companies in history. These aren't the desperate funding rounds of bubble companies scrambling for survival; they're the measured capital raises of a company planning for massive scale. OpenAI isn't alone in this infrastructure binge. Microsoft plans to spend $80 billion on AI data centers this fiscal year alone. Meta is projecting up to $72 billion in AI and infrastructure investments. These aren't speculative bets — they're calculated investments in what companies see as the next fundamental computing platform. When Altman tweets that OpenAI will bring "well over 1 million GPUs online by the end of this year," he's not describing bubble behavior. He's describing the build-out of critical infrastructure for a technology that's already demonstrating real utility and rapid adoption. The Usage Explosion Adoption metrics tell a story that bubble skeptics often miss. Altman recently revealed that reasoning model usage among OpenAI's customers is exploding. Free users went from less than 1% to 7% daily usage, while Plus users jumped from 7% to 24%. This isn't the shallow adoption curve typical of bubble technologies; it's the steep trajectory of tools becoming indispensable. Our research at Futurum Group suggests AI inference workloads could account for more than 80% of computing by 2030, when factoring in on-device processing, autonomous driving, edge computing, and agentic AI systems. If accurate, we're not looking at a bubble but at the early stages of the most significant computing platform shift since mobile. Tuesday's tech selloff, triggered partly by an MIT study claiming 95% of companies see no returns from generative AI, exemplifies the market's nervous energy around AI investments. NVIDIA Corp. dropped 3.5% and Palantir nearly 10%, suggesting investors are increasingly sensitive to any hint that AI returns aren't materializing fast enough. But as I have been saying since the arrival of ChatGPT, this build out will last decades as AI will be the arbiter of the world's leading economies and all the others. We are just getting started. The expectation that enterprise AI deployments should show immediate, measurable returns reflects a fundamental misunderstanding of how transformative technologies get adopted. Companies don't typically see ROI from major technological shifts in quarters. They see it in years. The Bubble Brigade Crowd High-profile financial figures Ray Dalio and Joe Tsai have warned about AI investment pacing ahead of sustainable growth, drawing parallels to the dotcom crash. Apollo Global's Torsten Slok argues the current situation could eclipse the 1990s internet bubble, noting that the 10 largest S&P 500 companies are more overvalued relative to fundamentals than they were at the dotcom peak. These warnings deserve attention, but they conflate different types of risk. Yes, some AI startups are overvalued, and some applications overhyped. But the core infrastructure investments driving the boom are based on demonstrated utility and clear demand trajectories. Meta's approach illustrates why the smartest companies aren't treating this as bubble territory. It is optimizing for the future while continuing to be one of the best plays for real world AI consumption. The company is simultaneously laying groundwork for AGI while embedding AI into everyday products that millions use daily. This dual approach of building for the long term while monetizing current capabilities reflects confidence in AI's staying power. On Thursday, the company confirmed a Wall Street Journal report that it has paused hiring for its new AI division amid the restructuring. But it doesn't signal Meta intends a major cutback in AI spending – it is simply in digestion mode after a massive spending spree that included several acquisition-sized offers and hires in the nine-figure range. Before pouring more investment into its AI teams, Meta needs time to place and access its new talent before forging to new breakthroughs like superintelligence. Altman's apparent contradiction — warning about bubbles while planning multitrillion-dollar infrastructure investments— makes perfect sense. He's distinguishing between short-term market froth and long-term technological transformation. Investor overexcitement in the near term doesn't negate the fundamental importance of the underlying technology. The AI sector may be experiencing speculative excess in valuations and expectations. And certainly not all names that have benefitted from AI are of the same quality. But when the CEO is most positioned to benefit from that speculation, it suggests we're witnessing something more substantial than a bubble. We're watching the expensive, messy process of building the next computing platform, one that promises to be worth every overexcited dollar invested in its foundation. In bubbles, the smart money gets out early. In genuine technological revolutions, it doubles down on infrastructure. OpenAI's $500 billion trajectory signals which category we're really in.
