nesaorg/nesa

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3167 stars · 246 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Nesa is a privacy-preserving AI inference platform that runs models like Llama, Mistral, and Stable Diffusion with end-to-end encryption using its Equivariant Encryption technique, so the serving party never sees input or output data. It offers a ChatGPT-compatible API and is backed by a decentralized Layer-1 blockchain network for verifiable, distributed AI execution.

Use cases

• run llm inference on sensitive data without exposing it
• private encrypted ai inference via api
• replace on-prem ai infrastructure with a privacy-preserving api
• verify ai inference results on-chain
• run stable diffusion or llama models encrypted
• decentralized ai compute network

When to choose

• you need strong privacy guarantees for AI queries over sensitive data
• you want a ChatGPT-compatible API with encrypted inference and minimal code changes
• you want verifiable, decentralized AI execution instead of trusting a centralized provider

When to avoid

• you need a fully self-hosted, air-gapped solution with no external network dependency
• you require an OSI-approved open-source license for commercial use
• you need guaranteed low-latency inference and cannot tolerate any encryption overhead

Facets

service · maturity active

llm-inference machine-learning cryptography security privacy api-framework artificial-intelligence large-language-models privacy blockchain machine-learning apis python cloud self-hosted encrypted-inference equivariant-encryption decentralized-ai chatgpt-compatible-api layer-1-blockchain private-ai web-server

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markdown · JSON · MCP: product_card(name="nesaorg/nesa")