Themisto Labs provides a privacy layer that intercepts personal information—such as passwords, credit‑card numbers, and addresses—on a user’s device before it is sent to AI services, ensuring the AI can still respond without retaining sensitive data. The company offers separate solutions for individuals (Themisto Personal), enterprises, and educational institutions, each designed to protect user data while maintaining AI functionality. Early‑access sign‑ups are currently open for the personal product.
Funding
Funding not disclosed
Founders
Product
Problem
Users and organizations risk exposing passwords, payment details, addresses, and other personal data when interacting with AI services, because the data is sent directly from their devices to external providers that may retain it. This creates privacy concerns for individuals, businesses, and schools that want to leverage AI without compromising sensitive information.
Solution
Themisto provides a client‑side privacy layer that intercepts and filters personal data before a request leaves the user’s device. By scanning outgoing prompts for identifiers such as passwords, card numbers, addresses, and other private details, the layer removes or masks this information while preserving the rest of the request for the AI to process. The filtered request is then sent to the AI service, which generates a response that does not contain the user’s sensitive data. Themisto offers separate product tracks for personal users, enterprises, and educational institutions, each delivering the same on‑device screening capability integrated with existing AI workflows.
Target Audience
Primary customers are privacy‑concerned individuals, businesses that handle confidential information, and schools that need to protect student data while allowing AI‑assisted learning.
Features
- Real‑time on‑device scanning that detects and blocks passwords, credit‑card numbers, government IDs, addresses, and other personal identifiers
- Seamless integration with any AI client or web interface, requiring no changes to the underlying AI service
- Configurable policies that allow organizations to define which data categories must be filtered
- Transparent operation that lets users see which elements were removed before the request is sent
- Enterprise and education editions include centralized policy management and audit logs for compliance reporting