AI needs more than private storage.
It needs private execution.
Nesa’s Equivariant Encryption technology allows AI systems to compute on encrypted data, allowing users to use sensitive information without unnecessary exposure during inference.
Same intelligence, real security.
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With up to 70% of AI workflows projected to involve sensitive data over the next few years, the need for truely private infrastructure has never been greater.
Hear our COO Stefan Luke dive into this topic and explain how Nesa is positioned to facilitate this shift.
Builders shouldn’t have to choose between powerful models and trusted infrastructure.
On Nesa, developers can build DAIs on privacy-first infrastructure designed for sensitive, high-value use cases.
Healthcare. Biotech. Robotics. Finance. Energy.
The next wave of AI apps needs more than access.
It needs trust.
Encryption in storage and in transit is standard.
But to process your inputs, most AI need to expose your data during the moment of inference, leaving your data vulnerable.
Nesa is built to solve this. Our Equivariant Encryption technology enables truely end-to-end encryption, making AI secure, auditable and accountable.
$NES on Ethereum is now live on @bitget, making it even easier for users to deposit, trade, and access the ecosystem.
When depositing $NES, please ensure you select the Ethereum (ERC-20) network to avoid any issues.
$NES on Ethereum is now supported on @kucoincom, giving users more flexibility when depositing and trading $NES.
Make sure to select the correct network when depositing!
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$NES is live in our global Spot markets.
@nesaorg is a privacy-preserving, verifiable, and decentralized AI Layer 1.
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