Private AI. Real Compliance.
Run AI on sensitive data — without exposing it. Powered by Zero-Knowledge Proofs, Fully Homomorphic Encryption, and Blockchain.
How We Make AI Safe for Sensitive Data
AI needs your data. Your data needs protection.
At Aunova, we build secure, privacy-first AI systems using cutting-edge cryptography:
Zero-Knowledge Proofs
for verifiable results
Fully Homomorphic Encryption
to run AI on encrypted data
Blockchain
to log decisions immutably for full auditability
Real Use Cases: Where AI Meets Privacy
Healthcare
Hospitals want to use predictive AI to improve patient care — but they can't afford to expose sensitive health data. At Aunova, we apply homomorphic encryption so models can run on encrypted medical records. We combine this with ZK verification and blockchain-based auditing, enabling compliant AI without privacy tradeoffs.
Finance
In finance, detecting fraud requires deep pattern analysis on private transaction data. We design privacy-preserving AI that can operate over sensitive datasets, while recording every step on-chain for transparency and security.
Compliance
For companies automating decisions (like credit scoring or recruitment), regulators demand accountability. Our systems provide explainable AI, with immutable logs and verifiable zero-knowledge proofs, so decisions are not just smart — they're also auditable and fair.
About Aunova
We are a technical team with full-stack AI, blockchain architecture, smart contract, and game engine expertise.
We have built complex MVPs combining Unity, Web3, and cryptographic protocols.
Now, we are focused on solving real-world problems with privacy-first technologies.