Empiriq develops digital clones that utilize machine learning to model individual life experiences and decision-making processes, enabling users to delegate personal tasks and monetize their expertise. By training these virtual machines on personal data, users can create a replicable workforce that generates income through business engagements.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals and businesses often spend significant time on repetitive tasks and decision-making processes that could potentially be automated or delegated. Monetizing one's expertise and experience can be challenging, requiring active involvement and limiting scalability.
Solution
Empiriq offers a platform for creating and training "digital clones" using machine learning to model individual life experiences and decision-making processes. These virtual machines are trained on user-provided data, including online publications and personal records, to replicate the user's decision-making in specific contexts. Once trained, these clones can be employed to automate tasks, make decisions, and engage in business activities on behalf of the user. Users retain ownership of their digital clones and can capitalize on their performance by deploying them as a virtual workforce.
Target Audience
The primary target audience includes individuals seeking to automate tasks and monetize their expertise, as well as businesses looking to leverage AI-powered virtual assistants for specific roles.
Features
- Data aggregation from online sources and user-provided records to build a comprehensive training dataset.
- Machine learning models that learn decision-making patterns from the user's life experience.
- API integration for the digital clone to interact with real-world systems and execute actions.
- Delegation of personal tasks and business engagements to the trained digital clone.
- Scalable deployment of multiple clones to increase earning potential.
- User ownership and control over the digital clone and its activities.