LingoAI enables individuals to build sovereign AI "Holons" — digital twins that transform personal data into memory, context, and evolving intelligence while keeping data ownership and access control firmly with the user. The platform extends to a collective intelligence marketplace where permissioned Holons contribute anonymized behavioral signals to answer enterprise queries and simulate outcomes. It also operates LingoAI Studio, a data workspace for managing AI data collection, quality review, and versioned dataset delivery.
Funding
Funding not disclosed
Founders
Product
Problem
Personal data is scattered across apps, platforms, and devices, leaving individuals without a unified way to convert it into meaningful, persistent intelligence. Enterprises seeking real human context for prediction and simulation must rely on synthetic assumptions or invasive data collection, which erodes trust and limits the accuracy of their insights.
Solution
LingoAI provides a platform where users build a Holon — a sovereign digital self that transforms raw personal data into structured memory, living context, and evolving intelligence. Users maintain full ownership and control through a permission layer that gates who can access their data, with every access attempt logged and revocable at any time. Holons support capabilities such as remembering, understanding, analyzing, predicting, simulating, and acting on behalf of the user. Through the collective intelligence marketplace, consenting Holons pool anonymized signals to answer enterprise questions and simulate scenarios, producing insights no single dataset could generate. LingoAI also offers LingoAI Studio, a data workspace that streamlines AI data collection tasks, automated quality checks, human review, and versioned dataset delivery.
Target Audience
Primary users are privacy-conscious individuals who want to own and monetize their personal data through AI, as well as enterprises and AI developers needing permissioned, real-world behavioral data for market prediction, scenario simulation, and model training. The LingoAI Studio workspace additionally serves AI data collection teams requiring structured task management and dataset delivery workflows.
Features
- Sovereign Holon architecture where each user's digital twin functions as an independent, self-contained intelligence unit that can also participate in collective intelligence networks
- Permission layer enabling granular, user-controlled access grants and revocations for AI agents, enterprises, and other entities, with full audit logging of all data usage
- Multi-stage data transformation pipeline that converts raw data into retrievable memory, connected context, and a living digital self that evolves with the user
- Collective intelligence marketplace that matches enterprise queries to relevant, permissioned Holons and routes value back to contributing individuals
- LingoAI Studio data workspace combining project creation, task execution, multi-type data collection, automated and human quality review, and versioned dataset exports
- Signal status system verifying real behavioral context from consenting users rather than synthetic or assumed data