About PIN AI

PIN AI develops a decentralized network that transforms mobile devices into AI-powered personal assistants by utilizing on-device large language models and secure data connectors. This technology enables users to manage and process their personal data while maintaining privacy, streamlining task execution across various applications.

<problem> Users often struggle to manage and utilize their personal data across multiple applications and platforms, leading to fragmented experiences and privacy concerns. Existing AI solutions typically lack personalized context and require users to relinquish control over their data. </problem> <solution> PIN AI is developing a decentralized network that transforms mobile devices into AI-powered personal assistants by leveraging on-device large language models (LLMs) and secure data connectors. The platform enables users to securely connect their personal data from various applications to an on-device LLM, creating a trusted environment for personalized AI interactions. By shifting inference dynamically between edge AI and cloud AI, PIN AI balances user value with data privacy and confidentiality. The system incorporates a Proof of Engagement (PoE) protocol to authenticate and reward user data engagement, fostering an open ecosystem where developers can innovate with unique, personal data while preserving user data ownership. </solution> <features> - On-device LLM for personalized AI assistance with local data processing - Secure data connectors to aggregate personal data from various applications - Router to Open AI Ecosystem that directs complex intents to relevant external AI services in a permissionless open ecosystem. - Decentralized private cloud for specialized, personal-context inference - Dynamic inference shifting between edge AI and cloud AI to optimize value and privacy - Proof of Engagement (PoE) protocol to incentivize data sharing and platform engagement - TypeScript SDK and React chatbox plugin for rapid, low-code integration </features> <target_audience> The primary target audience includes individuals seeking personalized AI experiences with enhanced data privacy and control, as well as developers interested in building applications within a user-owned data ecosystem. </target_audience>

What does PIN AI do?

Where is PIN AI located?

PIN AI is based in California City, United States.

When was PIN AI founded?

PIN AI was founded in 2024.

How much funding has PIN AI raised?

PIN AI has raised 10250000.

Who founded PIN AI?

PIN AI was founded by Ruben Portela.

Ruben Portela - Founder of Wise3 Ventures

Location

California City, United States

Founded

2024

Funding

10250000

Employees

11 employees

Major Investors

Alumni Ventures

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PIN AI

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

pinai.io 700+

Crunchbase

Founded 2024 – California City, United States

Funding

Estimated Funding

$10.3M+

Major Investors

Alumni Ventures

Team (10+)

Ruben Portela

Founder of Wise3 Ventures

Company Description

Problem

Users often struggle to manage and utilize their personal data across multiple applications and platforms, leading to fragmented experiences and privacy concerns. Existing AI solutions typically lack personalized context and require users to relinquish control over their data.

Solution

PIN AI is developing a decentralized network that transforms mobile devices into AI-powered personal assistants by leveraging on-device large language models (LLMs) and secure data connectors. The platform enables users to securely connect their personal data from various applications to an on-device LLM, creating a trusted environment for personalized AI interactions. By shifting inference dynamically between edge AI and cloud AI, PIN AI balances user value with data privacy and confidentiality. The system incorporates a Proof of Engagement (PoE) protocol to authenticate and reward user data engagement, fostering an open ecosystem where developers can innovate with unique, personal data while preserving user data ownership.

Features

On-device LLM for personalized AI assistance with local data processing

Secure data connectors to aggregate personal data from various applications

Router to Open AI Ecosystem that directs complex intents to relevant external AI services in a permissionless open ecosystem.

Decentralized private cloud for specialized, personal-context inference

Dynamic inference shifting between edge AI and cloud AI to optimize value and privacy

Proof of Engagement (PoE) protocol to incentivize data sharing and platform engagement

TypeScript SDK and React chatbox plugin for rapid, low-code integration

Target Audience

The primary target audience includes individuals seeking personalized AI experiences with enhanced data privacy and control, as well as developers interested in building applications within a user-owned data ecosystem.