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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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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