Blockchain

PIN AI secures $10M from a16z CSX, Hack VC, and All-Star angels to launch open platform for personal AI

San Francisco, United States, September 9th, 2024, Chainwire

 

Innovative startup from Ethereum Core research, Google Brain, Stanford, MIT, and CMU aims to democratize on-device intelligence, empowering users with control over their personal AI, and receiving investment from a16z CSX, Hack VC, and investors from projects like Solana, Polygon, Near, Worldcoin, etc.

PIN AI, a pioneering AI infrastructure company, announces $10 million in pre-seed funding to develop the world’s first open-source Personal Intelligence Network (PIN). A16z CSX, Hack VC, and notable investors, including Blockchain Builders Fund (Stanford Blockchain Accelerator), Illia Polosukhin (Transformer paper author; Founder, NEAR Protocol), Anagram/Lily Liu (President, SOL Foundation), Symbolic Capital (Co-Founder, Polygon), Evan Cheng (CEO, Mysten Labs/SUI), dcbuilder (Worldcoin Foundation), Foresight Ventures (parent company of the Block), Nomad Capital, Tim Shi (Co-Founder, Cresta), Ben Fisch (CEO, Espresso), Scott Moore (Co-Founder, Gitcoin), Alumni Ventures, and Dispersion Capital, have backed the project.

Offering an open-source, web3-enabled alternative to Apple Intelligence, PIN AI’s platform turns smartphones into privacy-focused AI personal assistants. By redirecting profits from users’ data and attention, it empowers users to regain control and monetize their data. The platform leverages personal, contextual data and cryptography, deploying cutting-edge AI models on-device to handle tasks across apps—like shopping, ordering food, wealth management, and interacting with centralized exchanges, DeFi, and prediction markets.

This AI-driven assistant ensures robust privacy and user-controlled data management, disrupting ultra-profitable models of web2 giants, including Apple’s 30% app revenue cut (over $100 billion) and Google’s mobile ads and Android store revenue cuts.

Davide Crapis, Co-Founder leading Protocol Research, said, “We’re building a movement towards an open-source future where personal AI assistants can work on PIN AI’s platform like smart contracts on Ethereum.” He added, “PIN AI will take back the $100b+ profit from tech giants and return it to users, allowing them to control and monetize their data. Our platform offers access to a wider range of AI agents, developed by the open-source community, capable of handling tasks across popular apps.”

PIN AI’s mission is to foster innovation for personal AI agents by offering access to personal, contextual data that reflects individual users’ needs and preferences. Unlike closed ecosystems like Apple, PIN AI’s open platform connects privacy-protected user data via a Layer-2 blockchain. This enables more flexibility in AI application development without the constraints of traditional, closed systems.

Bill Sun, Co-Founder and Chief Scientist, said, “On-device multi-modality models will revolutionize daily life. We are building a personal index for each user to create an on-device model that evolves via distributed training on the user’s phone. Soon, users won’t need to open multiple apps to complete tasks. The personal AI assistant will understand preferences and manage tasks efficiently.” PIN AI’s assistant will connect users with apps and services bidding on its blockchain protocol to fulfill tasks like shopping or crypto activities.

PIN AI shifts data monetization from big tech to users, allowing secure monetization of personal data. Users receive token incentives through data onboarding and intent fulfillment, only providing necessary data with matched Personal AI Agents, while maintaining control of their information.

At launch, PIN AI partners with Worldcoin and is developing a front-end product similar to Siri, expanding its reach and enhancing user experience.

Leading the team are co-founders Davide Crapis and Ben Wu. Crapis, formerly of Ethereum Core Research, leads Protocol Research. Ben Wu, heading Strategy, is an MIT graduate, Y Combinator alum, and serial entrepreneur. The technical leadership includes Bill Sun, a Stanford AI/Math PhD and early Google Brain researcher, as Chief AI Scientist, and Regan Peng, a CMU graduate and former lead at Didi Fintech and Yahoo Data Infra, as Founding Head of Engineering.

PIN AI collaborates with a16z crypto research, Flashbots, Espresso Systems, and academics from Stanford, Columbia, and NYU. Ben Wu emphasized the importance of an open platform, saying, “The open internet has made large language models possible. We need to build an open platform for users on their trusted device, allowing access to their various data, making their Personal AI possible.” Unlike Apple Intelligence, PIN AI’s system can run on low-spec smartphones by dynamically shifting between edge AI (on-device) and server AI to optimize performance, ensuring wide accessibility.

The funding will expand research, grow the team of AI and blockchain experts, and accelerate the deployment of PIN AI’s technology. The company will join the a16z CSX Fall 2024 cohort in New York City.

About PIN AI

PIN AI is developing an open-source personal AI operating system that leverages smartphone and app data to empower users with control and privacy. The company’s approach aims to connect AI developers with users, promoting data sovereignty and developer empowerment. PIN AI collaborates with Ethereum Core Research and is committed to privacy and innovation.

For more updates, visit pinai.io, X (formerly Twitter), Telegram, Discord, and Linkedin.

 

Contact

PIN AI
contact@pinai.io

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PersonalAIze and Cube Forge Groundbreaking Partnership to Accelerate AI-Driven Healthcare Platform and Point of Care Diagnostics

2024-09-19T13:00:00Z

Strategic partnership aims to further develop Cube’s award-winning AI guided platform for Software as a Service (SaaS) for the private sector and large healthcare systems and diagnostic to support clinicians and patients in making informed therapeutic decisions from early detection to personalized treatment and disease monitoring, for improved health outcomes

AMSTERDAM, Sept. 19, 2024 (GLOBE NEWSWIRE) -- (NASDAQ: RENB) PersonalAIze and RenovaroCube are proud to announce a strategic partnership to develop, validate, and commercialize Cube’s AI-driven, multi-omic platform for early detection of cancer and other diseases. This strategic partnership aims to provide services to many AI companies and healthcare systems while also creating the next generation of medical diagnostics through cutting-edge AI by driving greater accuracy, transparency, and trust in healthcare solutions.

Prof. Mark Hoogendoorn, Co-CEO and Co-Founder PersonalAIze: "The strategic partnership between PersonalAIze and Cube has the potential to provide a transformative leap in healthcare diagnostics, uniting cutting-edge AI with trusted, high-performance capabilities and industry related in-depth expertise.”

Frank van Asch, Founder and CTO of RenovaroCube,” Together, we are pioneering a future where healthcare outcomes are improved by training models for multiple decisions through the entire health journey, ensuring the right accuracy for therapeutic decisions in every disease stage.”

The first phase of the collaboration focuses on establishing a strong foundation for the partnership, with PersonalAIze providing critical expertise in the integration of AI into healthcare. It will enhance existing collaborations with Academic and corporate partners and create new ones to build an eco-system to help develop and bring to the market a cutting-edge SaaS model and the next generation highly accurate diagnostics, starting with cancer.

Prof Sandjai Buhlai, Co-CEO and Co-Founder PersonalAIze: “This collaboration signals a bold step forward in utilizing the full potential of AI potentially to help revolutionize early-stage medical interventions and diagnosis at the earliest stage of cancer before imaging has been able to detect the tumors.”

Key contributions from PersonalAIze include:

  • Ethical AI: Ensuring the AI models are free from harmful biases and trained to support fairness and inclusivity in medical diagnostics.
  • Legal Guidance: Providing expert advice on legal responsibilities tied to AI outputs, including issues of AI accountability and potential liability.
  • Regulatory Compliance: Assisting in navigating existing and emerging regulations such as NEN, ISO, GDPR, and the AI Act, ensuring the platform adheres to all relevant healthcare regulations and clinical guidelines.
  • Medical and Diagnostic Input: Offering support in clinical validation in collaboration with medical scientists to ensure the AI is reliable and effective in real-world medical environments.
  • Explainable AI: Developing AI models that are transparent, fostering trust and confidence from both healthcare providers and patients.

Key Resources and Support from PersonalAIze
As part of the collaboration, PersonalAIze will contribute:

  • Expert Personnel: Including a Principal Investigator (PI) to lead clinical AI efforts, a project manager to coordinate the collaboration and a strategic advisor to oversee the scientific strategy and execution.
  • Research and Talent Capacity: Leveraging academic partnerships to ensure access to cutting-edge research and innovation and facilitating talent scouting to support the project’s development.
  • Academic Spin-Out Opportunities: Supporting the commercialization of academic research through potential spin-out ventures related to AI diagnostics.
  • Co-Development of AI Platform: Jointly developing a science-driven, evidence-based AI platform that meets rigorous clinical and regulatory standards.
  • Ongoing Research and Publications: Contributing to the body of research through support with peer-reviewed publications in collaboration with clinical experts that will help build trust within the medical community and among regulatory bodies.
  • Architecture and Strategy Guidance: Continuously advising on the platform’s architecture and strategic direction, ensuring it stays aligned with the latest industry trends and scientific advancements.
  • Trusted AI: Developing a trustworthy, explainable AI platform that inspires confidence among healthcare providers and patients through clear and transparent decision-making processes.

About PersonalAIze
PersonalAIze focuses on building solutions that improve healthcare by leveraging state-of-the-art AI techniques. It has been founded by four experienced professors bringing together decades of research experience in AI and healthcare with the aim to bring the latest scientific AI developments into healthcare practice faster. PersonalAIze does this through both consultancy and product development and targets clinical decision-making systems as well as improvement of health care operations such as capacity planning.

About Renovaro
Renovaro aims to accelerate precision and personalized medicine for longevity powered by mutually reinforcing AI and biotechnology platforms for early diagnosis, better-targeted treatments, and drug discovery. Renovaro Inc. includes RenovaroBio with its advanced cell-gene immunotherapy company and RenovaroCube.

RenovaroCube has developed an award-winning AI platform that is committed to the early detection of cancer and its recurrence and monitoring subsequent treatments. RenovaroCube intervenes at a stage where potential therapy can be most effective. RenovaroCube is a molecular data science company with a background in FinTech and a 12-year history. It brings together proprietary artificial intelligence (AI) technology, multi-omics, multi-modal data, and the expertise of a carefully selected multidisciplinary team to radically accelerate precision medicine and enable breakthrough changes in disease agnostic decision support.

Forward-Looking Statements
Statements in this press release that are not strictly historical in nature are forward-looking statements. These statements are only predictions based on current information and expectations and involve a number of risks and uncertainties, including but not limited to the success or efficacy of our pipeline, platform and fundraising. All statements other than historical facts are forward-looking statements, which can be identified by the use of forward-looking terminology such as “believes,” “plans,” “expects,” “aims,” “intends,” “potential,” or similar expressions. Actual events or results may differ materially from those projected in any of such statements due to various uncertainties, including as set forth in Renovaro’s most recent Annual Report on Form 10-K filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. All forward-looking statements are qualified in their entirety by this cautionary statement, and Renovaro Inc. undertakes no obligation to revise or update this press release to reflect events or circumstances after the date hereof.

For media inquiries, please contact: karen@renovarocube.com

Source: Renovaro Inc.


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