ZKCryptAI offers unique solutions leveraging decentralized machine learning and zero-knowledge protocols, to prevent unintended data exposure and ensure user privacy and data integrity while using Autonomous AI agents and general-purpose AI applications.
Traditional and decentralized machine learning approaches, including AI agents, often expose sensitive user data during various operational phases, risking user privacy and confidentiality.
Even with federated and decentralized learning, such as Bittensor networks, sensitive data can still be at risk from threats like model inversion attacks, data leakage, and collusion among data participants.
Implementing effective Zero-Knowledge Proof (ZKP) techniques within AI frameworks is complex, often leading to inefficiencies and failing to adequately protect user privacy.
The need for separate backend systems for Machine Learning, Zero-Knowledge Proofs, and AI agents can create inefficiencies and complications, hampering the effective use of AI while ensuring data privacy.
Provides a protective layer for AI applications, preventing unauthorized access and safeguarding user privacy by filtering sensitive data before it reaches the cloud.
Facilitates decentralized machine learning while safeguarding sensitive information, ensuring that AI agents operate securely without exposing user data.
Enables verification of user data without disclosing the actual information, enhancing security for AI agents performing sensitive tasks.
Ensures data integrity and authenticity during the learning and transmission processes, critical for maintaining trust in AI operations.
A privacy-first AI platform using advanced NLP and custom entity recognition to filter sensitive data. We function as a secure proxy between users and AI providers, routing sanitized queries through TOR networks to ensure complete separation of user identity and protection of sensitive information from AI interactions.
A mobile app delivering on-device AI through offline models for private assistance without internet connectivity. Seamlessly integrates with SecureGPT while featuring offline agents and decentralized models, ensuring complete data control and zero external exposure.
Privacy-preserving autonomous assistants that perform complex tasks within isolated environments. Our agents handle specialized functions like data analysis and information retrieval while maintaining strict privacy controls, ensuring powerful automation without compromising user confidentiality.
ZKCryptAI
ZKCryptAI
ZKCryptAI
ZKCryptAI
ZKCryptAI
ZKCryptAI
6 years of experience in advising crypto projects. Skilled in strategic planning, community engagement, and driving innovation and growth in the decentralized ecosystem.
ML engineer with 10+ years of experience in creating and deploying ML models for the financial and healthcare industries. Oversees the complete development.
Experienced in JavaScript frameworks like React and Node.js, as well as Python. Skilled in building dynamic web applications and microservices architecture.
Experienced in developing backend solutions for blockchain applications. Skilled in integrating ZKP solutions for blockchain.
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