Personal AI

Personal AI, the trade name of Human AI Labs, Inc., develops software that lets individuals and organizations create AI models trained on their own data rather than on general public corpora. The platform is organized around three core elements described by the company: a Memory Stack, a digital library assembled automatically from a user's everyday messages and conversations; a Personal Language Model trained on that Memory Stack to mimic the user's expression; and messaging-based interaction in which the AI drafts responses in either Copilot (supervised) or Autopilot (automated) modes. Users can create custom personas, publish a personal AI domain, and integrate multiple AIs into other applications through APIs.

The company's stated technology direction has moved from a consumer messaging experience toward enterprise deployment. Its published materials describe the Generative Grounded Transformer (GGT-1) and Small Language Models (SLMs) customized to a user's data, with memory-stacking functions for retrieving information from past interactions and networks of role-specific AI personas built on proprietary organizational data. Product milestones include the April 2023 launch of MODEL-1, a memory-based, user-trained and user-owned model, and the January 2024 announcement of MODEL-2, which added multi-persona, multi-modal and multi-channel capabilities, combined long- and short-term memory, voice cloning, image generation, multi-party dialogue, SMS and Messenger integration, and hierarchical sub-personas with individual memory banks.

The mobile application is positioned as a training and communication platform for attorneys, doctors, coaches and other subject matter experts in highly regulated industries, offering digital twin personas, SOC 2 security controls, integrations with Google Drive, OneDrive, Outlook and Gmail, and AI-powered communication across channels including SMS and website chatbots.

Founding story

Human AI Labs, Inc. was founded in February 2020 by Suman Kanuganti, Sharon Zhang and Kristie Kaiser. Kanuganti had previously founded and scaled Aira, an AI/AR accessibility technology that augmented vision for blind users, and the founders framed Personal AI as augmenting memory for everyone. The company's stated motivation is that people forget and have limited time, which constrains the number of meaningful human connections they can sustain; personal AI is intended to scale memory, time and relationships.

Business model

Personal AI sells access to its AI training and communication platform to individuals and to businesses, with flexible pricing tiers described as suited to organizations of varying size and deployments that can be extended across departments or an entire organization. Distribution channels include desktop and mobile applications, APIs for embedding personal AIs in other applications, and availability of its Small Language Model technology and AI Training Platform on Google Cloud Marketplace.

The company offers its platform commercially with flexible pricing models for businesses of all sizes and enterprise-wide deployment options; specific pricing levels are not stated in the available material.

Traction

The Android application had more than 1,000 downloads as listed on Google Play and was last updated in September 2025. Wikipedia reports total funding of $12 million raised from venture firms and individual investors. The team is described on the company site as a 25-person organization, while an earlier company article cited a team of 20.

Latest developments

The company's Android application was last updated in September 2025 and positions Personal AI as a training and communication platform with digital twin personas built on Small Language Models for regulated industries, SOC 2 security, and integrations with Google Drive, OneDrive, Outlook and Gmail. The published team roster includes multiple AI personas occupying internal executive and operational roles alongside human staff.