AI Platform Vermillio Named to TIME100 Most Influential Companies List
CHICAGO--(BUSINESS WIRE)--Vermillio, the AI licensing and protection platform, today was named to the annual TIME100 Most Influential Companies list, highlighting 100 companies making an extraordinary impact around the world. Vermillio was recognized for empowering humanity to thrive in the Al era through its groundbreaking TraceID TM technology, which both provides comprehensive detection and removal capabilities for unauthorized AI-generated material and enables IP holders to protect and monetize their content.
Vermillio earned a spot on the prestigious list for helping 'protect (and potentially license) name, image, and likeness (NIL) data.' The distinction follows Co-Founder and CEO Dan Neely's inclusion in TIME's 2024 TIME100 Most Influential People in AI, underscoring the company's continued leadership in the ever-changing AI space.
Providing cutting-edge protection and third-party attribution, Vermillio's TraceID enables individuals and IP holders to take advantage of the benefits of AI with secure control of their data and AI rights. TraceID offers the ability to manage terms, conditions, and usage rights while capitalizing on new revenue streams made possible with AI. The Vermillio team designed TraceID to eliminate key concerns around consent, credit, and compensation with Generative AI. TraceID's extensive offerings include IP and NIL content monitoring and reporting, alerts and takedowns, lost revenue management, IP and NIL asset preparation for AI licensing, auditing of authorized AI licenses, and payment management. Vermillio's Dan Neely is also advancing major conversations about AI around the world. He has provided instrumental guidance for landmark legislation in both the United States, including the TAKE IT DOWN ACT, and the United Kingdom.
'As we continue to see courts dismantling copyright protections, major AI platforms fail to prioritize the rights of creators, and everyday people fall victim to deepfake abuses, artists, IP holders, and individuals need tools to protect themselves,' said Dan Neely, Co-Founder & CEO of Vermillio. 'We designed Vermillio to fill these gaps and take care of people when the system won't. We're thrilled to be recognized by TIME for our work so far and look forward to continuing to push for a future where we are all empowered, not exploited, by AI.'
As part of its mission to empower humanity in the era of AI, Vermillio continues to partner with leading talent, studios, record labels, and more, especially through a unique TraceID partnership with Sony Music Entertainment, which recently led Vermillio's $16 million Series A funding round. To demonstrate the unique opportunity that authenticated AI with TraceID presents to artists and labels Vermillio and Sony Music collaborated with The Orb and David Gilmour of Pink Floyd to develop an AI music experience where fans 'remixed' their tracks with the artists' original music – all powered by the seamless and secure control of TraceID.
Last year, Vermillio announced a first-of-its-kind partnership with talent agency WME to shield their clients from IP theft and deliver opportunities to monetize their name, image and likeness (NIL) by securely licensing their data. The company also recently announced partnership with legendary entertainer, author, and philanthropist Steve Harvey to proactively protect his fans against the unauthorized use of his image.
See the full fifth-annual TIME100 Most Influential Companies here: https://time.com/time100companies.
About Vermillio
Vermillio is an AI licensing and protection platform with a mission to empower humanity to thrive in the era of Generative AI. Providing cutting-edge protection and control, Vermillio's TraceID TM enables talent and IP holders to take advantage of the benefits of Generative AI in a safe and secure environment while understanding where their valuable data is being used. The company is building the guardrails for a Generative AI internet to enable talent, studios, record labels, and more to protect and monetize their content. Co-founded by Dan Neely, who recently made TIME's list of 100 most influential individuals in AI, Vermillio's team is led by experienced technologists who bring significant collective experience building AI software and scaled transaction systems. Learn more at vermill.io.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Time Business News
25 minutes ago
- Time Business News
The Future of AI-Powered Treatment Discovery
The future of treatment discovery is changing fast with the help of artificial intelligence (AI). As technology improves, AI is becoming a powerful tool in the healthcare world, especially for finding new and better ways to treat diseases. With rising health challenges and complex conditions, AI has the potential to completely change how new medicines are developed. This article explains how AI is shaping the future of treatment discovery, the role of data science, and how people can prepare for these changes through a data science course in Hyderabad. AI is now playing a very important role in many industries, including healthcare. In the past, finding new treatments was a long, expensive, and often uncertain process. But with AI, this can become much faster and more accurate. Machine learning and deep learning tools can process huge amounts of information quickly, spotting patterns and connections that humans might miss. This ability is especially useful in discovering new therapies where a lot of biological and chemical data needs to be analyzed. AI is already making a big difference in the early stages of finding new treatments. Earlier, researchers often depended on trial and error to find chemical compounds that could help treat diseases. Now, AI allows this process to become more targeted and based on data. Machine learning models can predict how effective a compound might be against a specific disease. This helps save time and money compared to traditional methods. AI tools can also suggest possible side effects and point out which natural or lab-based compounds are most likely to work. This helps scientists focus only on the most promising options, improving the chances of success. Data science plays a key role in helping AI deliver useful results in treatment discovery. There's a massive amount of data involved — from clinical trials to genetic details — and managing it requires special skills. A data science course can teach individuals how to work with this type of information. These programs cover tools like machine learning and statistical analysis, which are critical for turning raw data into meaningful insights. One of the most exciting uses of AI is in personalized or precision medicine. This means creating treatments based on each person's unique genetic background, lifestyle, and health conditions. AI can study genetic data and predict which therapies are likely to work best for specific patients. This helps move away from the old one-size-fits-all method and brings in more customized care that works better and has fewer side effects. For AI to succeed in this area, skilled data scientists must be able to manage and understand large sets of health data, including medical history, clinical reports, and genetic information. One of the biggest advantages of AI is speed. Normally, it takes many years — sometimes decades — to bring a new treatment to market. It's a long and costly journey, and success is never guaranteed. AI can cut this timeline down dramatically. With its ability to quickly analyze large datasets, AI can find promising compounds in weeks or months. This is especially useful for finding cures for diseases that spread fast or don't yet have effective treatment options. Even though AI has great potential, there are challenges that need attention. One major issue is the availability and quality of data. AI systems need reliable, organized data to give correct predictions. Unfortunately, healthcare data is often scattered, incomplete, or unstructured, which makes things difficult for AI tools. Another challenge is the lack of skilled professionals. Working with AI in medicine needs people who understand machine learning, biology, and data science. That's why specialized training programs, like data science courses in Hyderabad, are becoming more important. As AI continues to change how treatments are discovered, the role of data scientists will become even more important. These professionals will design and improve the AI systems that lead to better medical solutions. They will also make sure that the data being used is accurate and helpful. To do this job well, data scientists need a strong understanding of both computer science and biology. They'll need to work closely with doctors, researchers, and scientists to turn medical questions into data-based answers. With this teamwork, they can help develop new medicines that could change lives. AI in treatment discovery is not limited to any one country. Around the world, AI is being used to solve health problems — even in places where access to traditional healthcare is limited. By making the development process faster and more efficient, AI can bring new treatments to markets that were often ignored. It's also helping researchers work on cures for major global diseases like cancer, Alzheimer's, and various infections. By studying worldwide health data, AI can uncover new solutions that might otherwise go unnoticed. As AI keeps improving, its effect on healthcare will be huge, helping millions by speeding up the creation of life-saving therapies. The future of AI in discovering and developing treatments looks very bright. AI can completely change how we create medicines, making the process faster, more affordable, and more precise. With the help of data science, researchers can find better solutions for serious health issues, giving hope to patients around the world. As technology continues to grow, we'll see even more progress in treatment discovery, leading to better care and healthier lives. The future of healthcare and AI is closely linked, and those ready to embrace it will help lead the way in medical innovation. ExcelR – Data Science, Data Analytics, and Business Analyst Course Training in HyderabadAddress: Cyber Towers, PHASE-2, 5th Floor, Quadrant-2, HITEC City, Hyderabad, Telangana 500081 Phone: 096321 56744
Forbes
37 minutes ago
- Forbes
How Claude AI Clawed Through Millions Of Books
The race to build the most advanced artificial intelligence generative AI technology has continued to be a story about data: who possesses it, who seeks it, and what methods they use for its acquisition. A recent federal court ruling involving Anthropic, creator of the AI assistant Claude, offered a revealing look into these methods. The company received a partial victory alongside a potentially massive liability in a landmark copyright case. The legal high-five and hand slap draw an instructive, if blurry, line in the sand for the entire AI industry. This verdict is complex, likely impacting how AI large language models (LLMs) will be developed and deployed going forward. The decision seems to be more than a legal footnote, but rather a signal that fundamentally reframes risk for any company developing or even purchasing AI solutions. 3d rendering humanoid robot reading a book in library My Fair Library First, the good news for Anthropic and its ilk. U.S. District Judge William Alsup ruled that the company's practice of buying physical books, scanning them, and using the text to train its AI was "spectacularly transformative." In the court's view, this activity falls under the doctrine of "fair use." Anthropic was not simply making digital copies to sell. In his ruling, Judge Alsup wrote that the models were not trained to 'replicate or supplant' the books, but rather to 'turn a hard corner and create something different.' The literary ingestion process itself was strikingly industrial. Anthropic hired former Google Books executive Tom Turvey, to lead the acquisition and scanning of millions of books. The company purchased used books, stripped their bindings, cut their pages, and fed them into scanners before tossing the paper originals. Because the company legally acquired the books and the judge saw the AI's learning process as transformative, the method held up in court. An Anthropic spokesperson told CBS News it was pleased the court recognized its training was transformative and 'consistent with copyright's purpose in enabling creativity and fostering scientific progress.' For data and analytics leaders, this part of the ruling offers a degree of reassurance. It provides a legal precedent suggesting that legally acquired data can be used for transformative AI training. Biblio-Take-A However, the very same ruling condemned Anthropic for its alternative sourcing method: using pirate websites. The company admitted to downloading vast datasets from "shadow libraries" that host millions of copyrighted books without permission. Judge Alsup was unequivocal on this point. 'Anthropic had no entitlement to use pirated copies for its central library,' he wrote. 'Creating a permanent, general-purpose library was not itself a fair use excusing Anthropic's piracy.' As a result, Anthropic now faces a December trial to determine the damages for this infringement. This aspect of the ruling is a stark warning for corporate leadership. However convenient, using datasets from questionable sources can lead to litigation and reputational damage. The emerging concept of 'data diligence' is no longer just a best practice, it's a critical compliance mechanism. A Tale Of Two Situs This ruling points toward a new reality for AI development. It effectively splits the world of AI training data into two distinct paths. One is the expensive, but legally defensible route of licensed content. The other is the cheap, but legally treacherous path of piracy. The decision has been met with both relief and dismay. While the tech industry now sees a path forward for AI training, creator advocates see an existential threat. The Authors Guild, in a statement to Publishers Weekly, expressed its concern. The organization said it was 'relieved that the court recognized Anthropic's massive, criminal-level, unexcused e-book piracy,' but argued that the decision on fair use 'ignores the harm caused to authors.' The Guild added that 'the analogy to human learning and reading is fundamentally flawed. When humans learn from books, they don't make digital copies of every book they read and store them forever for commercial purposes.' Judge Alsup directly addressed the argument that AI models would create unfair competition for authors. In a somewhat questionable analogy, he wrote that the authors' argument 'is no different than it would be if they complained that training schoolchildren to write well would result in an explosion of competing works.' The Story Continues This legal and ethical debate will likely persist, affecting the emerging data economy with a focus on data provenance, fair use, and transparent licensing. For now, the Anthropic case has turned a new page on the messy, morally complex process of teaching our silicon-based co-workers. It reveals a world of destructive scanning, digital piracy, and legal gambles. As Anthropic clawed its way through millions of books, it left the industry still scratching for solid answers about content fair use in the age of AI.
Business Insider
39 minutes ago
- Business Insider
The new must-have for CEOs: An AI whisperer
A year ago, Glenn Hopper was advising just a handful of company leaders on how to embed AI agents and tools like ChatGPT throughout their organizations. Today, the Memphis-based AI strategist has an extensive waitlist of C-suite executives seeking his help with those tasks and more. "This technology is moving so fast, the gap between what CEOs need to know and what they actually understand is massive," said Hopper, a former finance chief and author of the 2024 book "AI Mastery for Finance Professionals: Foundations, Techniques, and Applications." That's why so many bosses are knocking on his door, he told Business Insider. Leadership coaches and consultants have long helped CEOs navigate the pressures of the corner office. Now, executive sherpas who were early to embrace AI say they're seeing a spike in CEOs seeking guidance on everything from vetting vendors and establishing safety protocols to preparing for the next big wave of AI breakthroughs. "Everything is inbound," said Conor Grennan, chief of AI Mindset, an AI consulting and training firm he founded in 2023. "We have a list a mile long." Grennan, also chief AI architect at New York University's Stern School of Business, said company leaders often reach out after struggling to get employees to adopt AI. They see other CEOs touting AI's benefits, and so they're feeling like they're behind, he said. 'It was garbage in, garbage out' Some of the AI gurus that company leaders are tapping helm (or work at) startups that were launched in recent years to take advantage of the AI boom. Others head up new or expanded AI teams within established advisory firms. Lan Guan was named Accenture's first chief AI officer in 2023, two decades after joining the professional-services firm. She's since been counseling a growing number of company leaders on how to bring AI into their organizations. "CEOs need an AI translator to basically sift through all this noise," she said. "The amount of signals you're getting, the amount of noise, it's so distracting." Company leaders are also seeking out AI gurus in some cases to fix mistakes they made while going at it alone. Guan recalled one CEO who came to her after the person's company had to pause a multi-million dollar investment in a custom AI model because employees trained it on dozens of different versions of the same operating procedure. "When they tried to scale, their data was not clean enough," she said. "It was garbage in, garbage out." Amos Susskind, CEO and founder of the London beauty-tech startup Noli, has been tapping Guan and members of her team for AI-related guidance for the past year. Noli's roughly 20 employees have been using AI tools to do their jobs and the company's beauty-product recommendation platform is powered by AI. "I'm in touch with AI leaders in Accenture probably five times a day," said Susskind, who previously led L'Oreal's consumer-products division for the U.K. and Ireland. Shaping the AI narrative leaders use Last year, 78% of workers said their organizations had used AI in at least one function, up from 55% in 2023, according to a March survey by global management consulting firm McKinsey. Companies are planning to dig into AI even more this year. A May survey from professional-services firm PricewaterhouseCoopers found that 88% of senior executives planned to increase their AI-related budgets in the next 12 months. "AI is in line with, if not bigger than, the internet," said Dan Priest, chief AI officer of PwC, whose position was created last year. Public company CEOs mentioned "agentic AI" — AI systems capable of acting autonomously — and similar terms on 269 conference calls in the second quarter, up from 12 during the same period last year, according to AI research firm AlphaSense. Getting those AI mentions right is another reason why company leaders are leaning on AI sages. CEOs need to consider more than just how investors and analysts interpret their remarks, said Priest. Employees are listening, too, and workplace experts say heightened anxiety among personnel can dent productivity and drive up turnover. "You want to be careful," warned Priest, who helps CEOs communicate their AI strategy externally. "The second you start talking about AI efficiencies, it makes your teams very nervous." CEOs also need to make sure employees using AI are doing so safely, said Hopper, the AI strategist in Memphis. "If you try to have too prohibitive a policy or don't have a policy at all, that's when people are going to do stupid stuff with data," he said. While CEOs may not want to be involved in every AI process or initiative happening at their companies, Hopper said the more hands-on experience they get with the technology, the better equipped they'll be to make smart decisions about how their organizations can benefit from it. Michael White, chief of MashTank, a boutique management consulting firm near Philadelphia, became one of Hopper's clients last year. Though he considers himself tech-savvy, White said Hopper got him up to speed on AI faster than he could've on his own. "We now have a bot that knows a lot of what I know, but has a better memory than I do," said White. Without an AI whisperer like Hopper, he added, "I'd still be at the starting gate."
