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What if your AI could think exactly like you? Not approximating your style based on internet data, but truly capturing your unique patterns of thought, expertise, and decision-making?
Suman Kanaganti, CEO of Personal AI, is creating a future where AI becomes deeply personal—trained on your own memory stack rather than generalized internet knowledge. His company builds small, specialized language models (under 1 billion parameters) that train in minutes yet capture the essence of how individuals or brands think and make decisions.
The difference between these personal language models and general-purpose LLMs like ChatGPT is profound. While large models excel at broad knowledge, they lack the specialized understanding of your unique perspective. Personal AI fills this gap by creating models that see the world through your lens, maintaining complete privacy and data ownership in the process.
This approach is already transforming enterprises, particularly in retail where brands like Wilson are using personal AI for brand-perfect content creation. Financial institutions value the security of on-premises deployment with strict privacy controls. The most fascinating applications emerge when companies create ecosystems of AI personas representing different roles and expertise domains, enabling "compounding collaboration benefits" as these personas interact with each other and human employees.
Looking ahead, Personal AI is developing agent orchestration capabilities and exploring integration with wearable devices—all while maintaining their core principle that your data should belong to you, not platform ecosystems. As Kanaganti puts it: "We want to be at a place where we meet personal AI with the advancements of the data collection methods and then intersect the data to make it ownable by the end user."
Ready to explore how personal AI could transform your business? Visit personalai.com or email Suman directly at [email protected] to learn more about this revolutionary approach to artificial intelligence.

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