Personal AI: The First Secure and Scalable On-Device AI

In a market dominated by large language models, we’re excited to announce a game-changing partnership that’s set to redefine the AI landscape. Personal AI has joined forces with Qualcomm to bring small language models (SLMs) to billions of PC and mobile devices worldwide through Qualcomm’s Snapdragon platform.

8 Billion Humans, 8 Billion AIs : Qualcomm Snapdragon powers over 3 billion devices globally, offering unprecedented distribution advantage of Personal AIs and delivering AI-driven productivity to 3 billion devices globally.

Qualcomm Snapdragon and Personal AI SLMs: A Powerful Partnership for Edge AI

While much of the AI world focuses on general large language models, Qualcomm has recognized the unique value proposition of Personal AI’s Small Language Models. Large Language Models process massive amounts of data in their data centers, as an example, ChatGPT’s daily power usage is nearly equal to 180,000 U.S. households.

The ability to run smaller, more cost-efficient models on device is the sustainable solution for the future.

Personal AI enables enterprises to create unique SLMs for each employee, known as Personal Language Models (PLMs), accessible directly from their enterprise PC. Personal AI has been selected as Qualcomm’s small language model provider of choice for running proprietary AI models on device for legal and financial enterprises.

Privacy-Centric AI: The Rise of On-Device Personal Intelligence

The hybrid model of Personal AI SLMs and LLMs runs atop the Qualcomm Snapdragon Processors and Neural Processing Engine SDK. Enterprise users interacts with their own proprietary data and their personal AI natively on their desktop and mobile devices. This layered approach allows for the efficient and secure execution of personal AI applications on a variety of PCs and Android devices.

Critical Industries Rely on Personal AI’s Enterprise Solutions

Legal and finance professionals are increasingly turning to Personal AI for its transformative impact on their work and adherence to the highest privacy and security standards for data management including SOC2 and HIPAA.

Unlike large language models, Personal AI models are small language models that offer the ability for each employee to train their own AI, unique to their data and voice. This unlocks unprecedented creativity, productivity, and problem-solving capabilities in their respective fields.

The strategy and financial teams of a multinational sporting company observed 13 hours per week saved per analyst when using Personal AI for market research, internal reporting, and competitive analysis.

Personal AI streamlines critical tasks, drafts personal communications in a user’s voice, and automates responses to frequently discussed topics. For legal professionals, Personal AI serves as a centralized knowledge repository, allowing quick access to expertise and past case information while enhancing memory recall. In the financial industry, Personal AI enables faster market research, competitive and strategy analysis from earning reports, and facilitates informed decision-making arising out of meetings with partners and internal teams.

By embracing Personal AI, legal and finance professionals can adhere to the highest security and privacy standards while being at the forefront of a paradigm shift in human-AI collaboration.

Personal AI Showcases Financial Use Case at Snapdragon Summit

Personal AI will be showcasing a use case for the financial sector at the Snapdragon Summit in October 2024. This strategic choice aligns perfectly with Personal AI’s initial target market and showcases the robust capabilities of Personal AI when paired with Qualcomm’s Snapdragon processor.

Personal AI’s demonstration will highlight:

• Real-time, on-device market analysis and financial decision making
• Enhanced data privacy and security features
• Improved efficiency and accuracy in financial processes

Through this partnership, Personal AI and Qualcomm are at the forefront of a new era in AI — one where small, efficient, and proprietary language models bring the power of artificial intelligence to billions of devices.