Technology
As Washington Pours Billions Into Quantum Computing, One Company Says the Real Race Is Defending the Data
Published
3 months agoon
By
Issued on behalf of Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN80)
A wave of U.S. government investment is accelerating quantum computing — and with it, the urgency for organizations to protect data that must stay confidential for years or decades to come.
NEW YORK, June 4, 2026 /PRNewswire/ — USA News Group News Commentary – There is a quiet contradiction running through the most exciting technology story of the decade. The same breakthroughs that make quantum computing so promising — the ability to solve problems that would stall the most powerful classical machines — also threaten to unravel the encryption that protects nearly every sensitive digital record in existence. As governments rush to fund the race for quantum capability, a smaller field of companies — among them Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN80) — is making a pointed argument: the more powerful these machines become, the more urgent it is to defend the data they could one day break.
That argument moved into sharper focus in late May, when Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN80) — a post-quantum cybersecurity company focused on quantum-resilient data protection, identity security, secure storage and cryptographic migration readiness — weighed in on a major signal from Washington. The company commented on reports that the U.S. Department of Commerce had entered into nine letters of intent to provide approximately US$2 billion to support the U.S. quantum computing sector, an investment QSE framed as evidence that quantum has crossed from research curiosity into national technology strategy.
“Government investment at this scale sends a clear message: quantum computing is moving from research into national technology strategy,” said Ted Carefoot, Chief Executive Officer of QSE. “That progress is exciting, but it also accelerates the need for organizations to understand and address their post-quantum cybersecurity exposure. Sensitive data encrypted today may need to remain confidential for years or decades, which is why preparation cannot wait.”
The “Harvest Now, Decrypt Later” Problem
Carefoot’s point about data that must remain confidential for years or decades gets at the heart of why post-quantum security is not a problem organizations can comfortably defer. Encrypted information that is intercepted today can be stored cheaply and indefinitely, waiting for the day a sufficiently capable quantum computer can unlock it. For records with long shelf lives — government files, financial data, healthcare records, critical-infrastructure systems and other long-lived sensitive information — the threat is not theoretical to the institutions responsible for protecting them. The clock on confidentiality starts the moment the data is created, not the moment quantum machines mature.
It is against that backdrop that the U.S. funding commitment reads as something more than an industrial-policy headline. Each dollar accelerating quantum capability is, in QSE’s framing, also a dollar shortening the runway organizations have to get their cryptographic houses in order. The company has argued that quantum investment and post-quantum readiness are, in Carefoot’s words, “two sides of the same transformation” — and that as governments accelerate one, enterprises must accelerate the other.
From Awareness to Action
What sets QSE’s recent messaging apart from the broader chorus of quantum commentary is that the company says it has already moved past the product-development stage and into commercial deployment. In a corporate update earlier in May, QSE described itself as operating a fully built, commercially available post-quantum cybersecurity platform — one designed to help organizations move, as the company puts it, from awareness to action.
The update carried specifics that are unusual for a company at this stage of a frontier market. QSE said it is generating revenue, currently serves 262 customer accounts, and is seeing growing pipeline activity across enterprise, government and regulated-industry channels. The company characterized this as a shift into a commercial scaling phase, following a period of product development, platform integration, certification milestones and strategic partner expansion.
“QSE is now operating from a position of commercial strength,” Carefoot said in that update. “Our product suite is fully built, our technology is in market, and our focus has shifted decisively toward scaling revenue, expanding customer relationships and converting a growing pipeline of enterprise and government opportunities. We believe the combination of regulatory urgency, market readiness and QSE’s differentiated platform creates a significant growth opportunity for the Company in 2026 and beyond.”
The platform itself is organized around three plain-language functions. The first, Assess, helps organizations understand where their data and encryption may be vulnerable to future quantum threats. The second, Protect, secures sensitive data using quantum-resilient encryption, secure storage and deployment tools designed to work alongside existing systems. The third, Control Access, governs who can reach sensitive systems and data through quantum-secure login and identity tools. Taken together, QSE says, those functions support customers across the full post-quantum security lifecycle — from initial assessment and planning through deployment, identity protection, secure storage and ongoing security infrastructure.
Crucially, the company emphasizes that its approach is designed to strengthen existing security infrastructure without requiring a disruptive rip-and-replace process. For large institutions with sprawling legacy systems, the prospect of swapping out cryptography wholesale is daunting enough to encourage paralysis; QSE’s pitch is that quantum resilience can be layered onto what organizations already run, lowering the barrier to getting started.
A Multi-Stream Commercial Model
Behind the three-function framework is a revenue model built to capture demand in more than one way. QSE has said its commercial model is generating recurring SaaS revenue while continuing to scale enterprise deployments, usage-based entropy and secure storage services, and on-premises hardware deployments for customers that require greater data autonomy and internal key control. That last category matters in sectors where institutions are unwilling — or, for regulatory reasons, unable — to hand control of their most sensitive keys to an outside cloud.
The company is also pursuing a partner-led expansion strategy, working through value-added distributors, resellers, system integrators and regional partners with established access to enterprise, government and regulated-industry customers. Management has said it believes this channel approach can accelerate market penetration, expand geographic reach and help convert pipeline opportunities into long-term customer relationships — a route that lets a relatively young company extend its reach without building out a massive direct sales force first.
Deepening the Bench
Scaling a frontier-technology company is as much about people as product, and QSE moved on that front in late May with the appointment of Michael Massing as Chief Technology Officer, effective June 1, 2026. Massing brings more than 30 years of experience across cybersecurity, cryptography, secure data management, artificial intelligence, blockchain, network architecture and advanced computing systems — a breadth that maps closely onto the technical demands of a post-quantum platform.
His résumé reads like a tour through the modern security industry. Massing previously served as CTO and VP of Engineering at TokenX Labs and LifeSite Inc., where he led the development of zero-knowledge authentication and secure digital asset management systems. He also served as Executive Director of Engineering at Dell SonicWall, where he managed the Unified Threat Management business unit and helped scale enterprise cybersecurity product lines to approximately US$400 million in annual sales. Earlier, he founded SecureCom Networks, later acquired by SonicWall, and Mass Technology Inc., providing technical solutions to organizations including Cisco, Sophos and NASA — with work on advanced computing systems and real-time operating systems supporting NASA’s SETI initiatives. He holds eight issued patents in cryptography, networking and cybersecurity, and earned a B.S. in Electrical Engineering from Santa Clara University.
“Michael’s appointment is an important step in QSE’s next phase of growth,” Carefoot said. “He brings deep cryptography expertise, enterprise cybersecurity experience and a proven record of building technologies that can scale into large commercial markets. As demand for post-quantum security accelerates, his leadership will be valuable as we continue expanding our platform, supporting customer deployments and pursuing larger commercial opportunities.”
The appointment comes as QSE continues expanding its enterprise post-quantum security platform, including its QPA migration readiness system, qREK entropy infrastructure, QAuth identity platform, and decentralized encrypted storage architecture — the named building blocks that sit beneath the Assess, Protect and Control Access functions the company markets to customers.
A Crowded, Fast-Moving Field
QSE is not alone in racing to meet the post-quantum moment, and the breadth of the field underscores how seriously markets are taking the threat. On the cryptography-hardware side, SEALSQ Corp (NASDAQ: LAES) builds quantum-resistant semiconductors and public-key-infrastructure trust services, positioning itself as a pure-play in quantum-safe chips for connected-device, identity and IoT markets. On the software side, Arqit Quantum Inc. (NASDAQ: ARQQ) has pioneered a symmetric-key agreement platform designed to keep networked devices and data at rest secure against both conventional and quantum-enabled attacks, and has been expanding into telecom and enterprise channels through partnerships.
The urgency these security firms describe is, of course, driven by the progress of the quantum-computing builders themselves. IonQ, Inc. (NYSE: IONQ) remains the bellwether among publicly traded quantum-hardware companies, developing trapped-ion processors and quantum-networking systems — the very class of machines whose maturation defines the timeline security vendors are racing against. And at the enterprise level, established cybersecurity giants such as Palo Alto Networks, Inc. (NASDAQ: PANW) frame quantum readiness as an emerging extension of the broader security mandate they already serve, a signal that post-quantum protection is migrating from niche concern toward mainstream enterprise requirement.
Within that landscape, QSE’s pitch is one of practicality and timing: a fully built platform, already in market, that layers quantum resilience onto existing systems. Readers can review the company’s positioning in more detail on its USA News Group profile page.
Why It Matters Now
QSE’s read on its own market is that post-quantum cybersecurity is quickly becoming a board-level, compliance-level and national-security priority. The company points to a convergence of forces — regulatory pressure, cryptographic migration requirements and enterprise demand — that it believes positions it to capitalize on the accelerating global transition toward post-quantum security infrastructure. Governments, regulators and large enterprises, the company argues, are no longer treating post-quantum security as a future consideration; they are beginning to demand concrete action, including cryptographic inventories, preparedness assessments, migration roadmaps and the implementation of quantum-resilient controls.
“Post-quantum cybersecurity is quickly becoming a board-level, compliance-level and national-security priority,” Carefoot said. “With a solid client-base and revenue generation established, a fully built platform in market and a growing pipeline of enterprise and government opportunities, QSE is now focused on scaling aggressively across the sectors where quantum-resilient security is becoming mission-critical.”
The story Washington is telling with its US$2 billion in letters of intent is, on its surface, a story about building quantum machines. QSE’s contribution to the conversation is to flip the lens: every advance toward that capability is also a countdown for the data that quantum could one day expose. Whether the company’s 262 customer accounts and multi-stream model prove to be an early foothold in a vast market or simply an early chapter, its central premise is hard to dismiss — that in the quantum era, building the machine and defending against it are not separate races, but the same one.
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SOURCES:
[1] Quantum Secure Encryption Corp., “Quantum Secure Encryption Provides Corporate Update as Company Scales Commercial Deployment,” May 12, 2026 (Newsfile Corp.).
[2] Quantum Secure Encryption Corp., “Quantum Secure Encryption Highlights Post-Quantum Cybersecurity Urgency Following U.S. Quantum Computing Investment,” May 22, 2026 (Newsfile Corp.).
[3] Quantum Secure Encryption Corp., “Quantum Secure Encryption Appoints Cybersecurity and AI Technology Veteran Michael Massing as Chief Technology Officer,” May 26, 2026 (Newsfile Corp.).
[4] U.S. Department of Commerce / NIST, “Department of Commerce Announces Letters of Intent With 9 Companies for $2 Billion to Accelerate U.S. Leadership in Quantum Computing,” May 2026.
DISCLAIMER:
Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has previously been paid a fee for QSE – Quantum Secure Encryption Corp. advertising and digital media from the company directly which has since expired. There may be 3rd parties who may have shares QSE – Quantum Secure Encryption Corp., and may liquidate their shares which could have a negative effect on the price of the stock. Previous compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of QSE – Quantum Secure Encryption Corp. which were purchased as a part of a private placement, and in the open market. MIQ reserves the right to buy and sell, and will buy and sell shares of QSE – Quantum Secure Encryption Corp. at any time hereafter without any further notice. We also expect further compensation in the future as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.
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Blockboard Named Finalist in Two Categories at the 2026 Digiday Technology Awards
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September 17, 2026By
Third consecutive Best Buy-Side Programmatic Platform nomination follows Blockboard’s 2025 victory, while BlockVantage earns Best AI Tool recognition in its first year
NEW YORK, Sept. 16, 2026 /PRNewswire/ — Blockboard, the outcomes-driven advertising technology company built to bring greater trust, transparency and efficiency to digital media, today announced that it has been named a finalist in two categories at the 2026 Digiday Technology Awards:
Best Buy-Side Programmatic PlatformBest AI Tool – BlockVantage
The Best Buy-Side Programmatic Platform nomination marks the third consecutive year Blockboard has been recognized as a finalist in the category. It follows the company’s 2025 win, reinforcing Blockboard’s continued position among the industry’s leading programmatic platforms.
Blockboard’s growing trophy case also includes CEO and founder Matt Wasserlauf’s 2024 Digiday Technology Award for Founder of the Year. Together, these honors reflect multiple years of recognition for the company’s technology, leadership and commitment to addressing some of digital advertising’s most persistent challenges.
“To be recognized by Digiday for a third consecutive year, and in two categories, is an incredible honor for our entire team,” said Matt Wasserlauf, founder and CEO of Blockboard. “Winning Best Buy-Side Programmatic Platform last year validated our approach to building a more transparent and accountable advertising ecosystem. This year’s recognition of both Blockboard and our BlockVantage AI campaign tool shows that we are continuing to innovate while staying focused on what matters most: helping marketers eliminate waste, reach real audiences and generate stronger results.”
Blockboard was named a finalist for “Development of Verified AI Media,” recognizing its approach to combining artificial intelligence with trust-verified technology. The platform is designed to help advertisers plan, execute and measure campaigns across connected TV, online video, display, mobile and audio while providing greater clarity into how their media investments are being used.
Every impression purchased through Blockboard is pre-validated to help ensure that an actual person is behind the view. This approach allows marketers to essentially eliminate exposure to advertising fraud and wasted spending while directing more of their budgets toward real audiences and measurable outcomes.
The company’s second nomination recognizes the launch of BlockVantage, its AI-powered media-planning and campaign-activation tool. In its first year, BlockVantage was named a finalist for Best AI Tool, an early milestone for a platform created to simplify the traditionally complex process of launching digital and streaming television campaigns.
BlockVantage enables businesses to build media plans, identify target audiences, generate creative and launch campaigns through a streamlined experience. By making sophisticated advertising technology faster and easier to use, BlockVantage expands access to capabilities that have traditionally required significant time, expertise and resources.
The two nominations represent both sides of Blockboard’s mission: advancing enterprise-grade programmatic advertising while making powerful media technology more accessible to businesses of all sizes.
The Digiday Technology Awards recognize the companies and platforms driving innovation across advertising, media and commerce. Winners of the 2026 awards will be announced on September 22.
About Blockboard
Blockboard is a New York City-based advertising technology company helping brands and agencies plan, execute and measure digital media with greater trust, transparency and efficiency. Its platform combines artificial intelligence, advanced audience targeting and trust-verified blockchain technology to reduce advertising fraud and waste while helping marketers maximize the value of every media dollar. Blockboard supports campaigns across connected TV, online video, display, mobile and audio through managed-service and self-service solutions. For more information, visit www.myblockboard.com.
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Technology
Cohesity Research Finds Most Cyber Recovery Plans Are Built for the Wrong Outcome
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September 17, 2026By
78% organizations prioritize restoring systems over maintaining business operationsOnly 22% have tested how critical operations would continue during recoveryJust 3% say current plans are equipped for frontier AI threats
SINGAPORE, Sept. 17, 2026 /PRNewswire/ — Cohesity, the leader in AI and data security, today released its fifth annual Cohesity Global Cyber Resilience Report, finding that 78% of organizations focus cyber recovery efforts on restoring systems rather than maintaining business operations. Restoring systems alone, however, does not guarantee a business can resume normal operations. Recovery depends on more, including whether restored environments can be verified as clean and safe, applications and dependencies are functioning properly, and employees have reliable access to systems and data.
The independent study, conducted by Vanson Bourne, surveyed 3,200 IT and security decision-makers across 12 countries. The research examined where recovery plans fall short during actual attacks, how organizations define business continuity during recovery, and how well current plans account for AI systems and emerging frontier AI threats. The findings were announced at Cohesity Catalyst 2026.
“The research makes clear that many organizations still view recovery as a technology exercise when it is fundamentally a business imperative,” said Vasu Murthy, chief product officer, Cohesity. “True resilience is measured by an organization’s ability to continue operating, meet customer commitments, and recover quickly during a cyber crisis. AI makes the challenge more urgent by increasing the speed of attacks while adding new systems, data, and workflows. That same speed and scale is why AI also has to be part of the answer — strengthening how organizations detect, recover, and restore trust at machine speed.”
Restoring systems does not mean the business has recovered
The research found that organizations may struggle to resume normal operations even after systems are restored. Among those that experienced a material cyberattack in the past 12 months, 60% encountered moderate or significant delays because they lacked confidence that restored data and systems were clean and safe to use. Sixty percent also reported identity or access issues after systems were restored.
The scope of affected systems expanded beyond the initial assessment for 70% of those organizations. At the same time, an average of 61% identified moderate or significant gaps in how their plans accounted for cloud infrastructure, SaaS applications, identity services, security tooling, third-party integrations, and AI systems. For recovery teams, changes in scope or incomplete dependency information can affect what is restored, in what order, and what must be revisited as the response progresses.
These recovery complications are significant because most plans depend on conditions that may not hold during an actual attack. Across the full sample of surveyed organizations, 93% said their cyber response and recovery plans rely on all five assumptions examined in the research: containment, dependency visibility, recovery sequencing, decision-making clarity, and trusted restoration.
The business side of recovery is rarely formalized and tested
A Minimum Viable Company (MVC) helps organizations narrow the scope of recovery to minimize business disruption by defining what must be restored first. While 37% of research participants have formally documented an MVC, only 22% have both documented and tested it. Among that group, 64% said their MVC directly determined what was prioritized and restored first during a material cyberattack. The findings suggest that defining and testing an MVC can influence recovery priorities, but only if organizations operationalize it during an attack.
AI is becoming operational before it becomes recoverable
Recovery priorities must also account for the technologies the business increasingly depends on. The research found that although AI is widely used, it is not yet comprehensively addressed in most recovery plans. AI systems, applications, workflows, or machine learning models are now used by 99% of organizations, yet only 39% say their cyber response and recovery plans comprehensively account for attacks targeting them.
Organizations also reported readiness gaps when responding to AI-related incidents, with 56% saying they are not well prepared to detect, contain, and recover from unintended or incorrect actions taken by AI agents, copilots, or AI workflows. Similarly, confidence in verifying the integrity of AI models and related data following a cyberattack was low, with 58% reporting they were not very confident.
Frontier AI raises the stakes for recovery planning
Organizations expect frontier AI to place further pressure on existing recovery approaches. Eighty-three percent said their plans would require moderate or significant changes to address attacks involving capabilities such as vulnerability discovery, exploit development, and multi-step intrusions. Only 3% of respondents said their current recovery plans are equipped for those conditions.
Download the full Cohesity Global Cyber Resilience Report for deeper insights into cyber response and recovery, operational resilience, and AI readiness.
Methodology: Cohesity commissioned Vanson Bourne to survey 3,200 IT and security decision-makers at organizations with 1,000 or more employees across Australia, Brazil, France, Germany, India, Japan, Saudi Arabia, Singapore, South Korea, the United Arab Emirates, the United Kingdom, and the United States in July 2026. For the purposes of this research, a material cyberattack was defined as having a measurable financial, reputation, operational and/or customer churn impact on their organization.
About Cohesity
Cohesity protects, secures, and provides insights into the world’s data. As the leader in AI and data security, Cohesity helps organizations strengthen resilience, accelerate recovery, and reduce IT costs. With Zero Trust security and advanced AI/ML, Cohesity Data Cloud is trusted by customers in more than 140 countries, including two-thirds of the Global 500. Cohesity is also backed by industry leaders such as NVIDIA, Amazon, Google, IBM, Cisco, and HPE.
Cohesity is certified as a Great Place to Work in multiple countries. Follow Cohesity on LinkedIn and visit www.cohesity.com to learn more.
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Technology
Apex Intelligence Raises Nearly US$50 Million in Angel Funding to Build Self-Evolving Foundation Models
Published
2 minutes agoon
September 17, 2026By
-A Chinese Startup Enters the Global RSI Race.
BEIJING, Sept. 16, 2026 /PRNewswire/ — Apex Intelligence has completed its angel and angel-plus funding rounds, raising nearly US$50 Million in total. The angel round was co-led by IDG Capital, LinkX Capital and XtalPi, with participation from Decent Capital, SEE Fund, Monad Ventures, and Winsoul Capital. The angel-plus round was co-led by Zhongguancun Science City Fund, SCGC, and Shanghai Engine Fund.
Founded in June 2026, Apex Intelligence is building the next generation of self-evolving foundation models. Self-evolution refers to Recursive Self-Improvement (RSI), or models improving themselves. With a focus on scientific research and discovery, the company aims to move AI from an assistive tool to a co-researcher, and from accelerating what is known to discovering what is unknown.
Apex Intelligence will also visit leading North American universities—including Harvard University, MIT, Yale University, and Boston University—from September 17 to September 23 to meet with students, researchers, and academic research groups for talent recruitment and research collaboration.
AI’s Next Frontier Is Research
Centuries of technological progress have unfolded through successive S-curves opened up by scientific breakthroughs. Each S-curve spans three stages: scientific breakthroughs, research discoveries, and engineering implementation. Most AI today remains focused on engineering and execution, while the scarce breakthroughs in science and research still depend heavily on humans.
Apex Intelligence believes the next technological revolution will center on AI becoming a co-researcher and a native research engine—one that goes beyond accelerating familiar work to actively discovering unexplored directions. Research is the core driving force behind RSI.
Building AI Researchers, Not Just AI Assistants
Apex Intelligence believes that advancing AI’s general intelligence in R&D requires model training. Specifically, through mid-training and post-training, the company guides models to generate creative ideas and autonomously carry out the entire cycle of self-improvement: hypothesis, experimentation, validation, and iteration.
Over the long term, Apex Intelligence aims to build self-evolving foundation models whose collective research capabilities match, and progressively surpass, those of 100,000 top-tier AI scientists spanning disciplines, forming a scalable network of AI researchers. This is a long-term vision and goal, and the company is working toward it step by step. It represents a fundamental shift in the R&D paradigm, rather than an incremental improvement in efficiency. Potential applications span any field where R&D workflows can be structured and outcomes measured, including chip design and simulation, molecular R&D, and quantitative strategy iteration. These fields share three characteristics: high value, intensive demands on human expertise, and costly trial and error.
Apex Intelligence’s Self-Evolving AI System Approaches Capabilities of Leading Human Researchers
Apex Intelligence’s self-evolving AI system has delivered encouraging results in both AI for AI and AI for Math.
AI for AI
The system has autonomously produced research of a standard suitable for acceptance at leading AI conferences, demonstrating capabilities comparable to those of an AI PhD student. It has also autonomously achieved more accurate decisions before training, better strategies during training, and optimizations to the underlying GPU kernels. Across SimpleTES, NanoChat Autoresearch, GPUMode TriMul, and MLS-Bench, it has set new records or approached the best publicly reported results, outperforming solutions developed by or with contributions from Recursive Superintelligence, Tencent Hunyuan, Stanford, NVIDIA, and other organizations.
AI for Math
The AI system has produced a complete proof of the majorization conjecture, which had remained open for more than three decades, and achieved multiple breakthroughs in optimization theory, geometric topology, and other areas.
Apex Intelligence was founded by Yongchao Chen, an assistant professor at Tsinghua University’s School of Artificial Intelligence. His undergraduate and graduate education spans the University of Science and Technology of China and a joint Harvard–MIT training program. He has conducted research at Google DeepMind, Microsoft, and the MIT–IBM Watson AI Lab. The core team comes from leading universities including Tsinghua, Peking University, Harvard, and MIT.
Looking ahead, Apex Intelligence will continue investing in foundation models and compute, advance the training and iteration of recursively self-improving foundation models, build a high-quality research trajectory data infrastructure, and attract top talent from around the world. Guided by its founding mission to “Unlock Undiscovered Discovery,” the company is working to move AI from reproducing existing knowledge to autonomous scientific discovery.
Founder Quotes
“I have always believed that models taught by humans are ultimately limited by humans themselves. When we align them to human preferences, we lock their intelligence ceiling at our own level. No matter how much compute and data we add, we are only making them better at retaining existing knowledge. The limits of true intelligence can only be defined by the objective world. The first generation of large models replaces white-collar workers; embodied AI replaces blue-collar workers; and ASI will replace humanity’s most accomplished scientists. That moment will come sooner or later. Our job is to bring it closer.”
— Yongchao Chen, Founder of Apex Intelligence
About Apex Intelligence
Founded in June 2026, Apex Intelligence is a Beijing, China-based self-evolving foundation model company focused on next-generation industrial intelligence through recursive self-improvement.
For more information, please visit: https://apexin.ai/
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