ML Marketplace

AI Without Exposure — Encrypted ML Inference Marketplace

Deploy expert ML models. Run inference on encrypted data. Earn per-call royalties. The world's first marketplace where neither the model provider nor the compute node ever sees your data — and experts get paid for every prediction.

Expert Models, Encrypted Inference

Agronomists, veterinarians, labs, and data scientists monetize their expertise — without exposing anyone's data

  • Expert model deployment — domain experts (agronomists diagnosing crop disease, veterinarians analyzing animal health, labs processing medical images) deploy trained ML models to the ATSHI marketplace. Each model becomes a monetizable on-chain service available to anyone.
  • Data stays encrypted end-to-end — powered by Zama's concrete-ml framework, inference runs directly on FHE-encrypted data. The model provider never sees your input. The GPU node never sees your data. The result is decrypted only by you. Zero data exposure, mathematically guaranteed.
  • Per-call royalties (~60/20/20) — every inference call automatically splits revenue: ~60% to the model creator, ~20% to the GPU compute provider, ~20% to the protocol. No invoicing, no payment disputes, no 90-day net terms. Instant, trustless, on-chain settlement.
  • Client-side encoding — data is encrypted on the client device before it ever leaves the user's machine. The encrypted payload travels to the compute node, inference runs on ciphertext, and the encrypted result returns. At no point does raw data exist outside the client.
  • Package registry & versioning — models are published to an on-chain package registry with semantic versioning, dependency management, and usage analytics. Discover models by category, rating, or domain. Update models without breaking existing integrations.

Revenue Split per Inference Call

~60% Model Creator The expert who trained and deployed the model earns the majority share
~20% GPU Provider The compute node running FHE inference receives automatic compensation
~20% Protocol ATSHI Network fee funds ongoing development and validator rewards

Inference Pipeline

1. Client Encrypts Data encrypted with FHE keys on the user's device before transmission
2. FHE Inference concrete-ml runs the model on ciphertext — GPU never sees plaintext
3. Decrypt Result Only the client can decrypt the prediction — complete data sovereignty

Why Encrypted AI Changes Everything

Cloud AI requires you to surrender your data. ATSHI's ML Marketplace does not.

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Zero Data Exposure

Your data never leaves your device unencrypted. Medical images, financial records, proprietary research — inference runs on ciphertext. Not even the model owner or GPU operator can see what you submitted.

Privacy
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Democratized AI

Any domain expert can deploy a model and earn revenue. An agronomist in Toulouse, a veterinarian in Munich, a researcher in Milan — anyone with expertise can monetize it globally without building infrastructure.

Accessibility
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Automatic Revenue Sharing

The 60/20/20 split happens on every single inference call, automatically and trustlessly. No invoices, no payment processors, no disputes. Revenue flows the instant the prediction is computed.

Economics
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Open Ecosystem

The package registry is open to all. Discover models by domain (agriculture, health, finance, logistics), compare ratings, check usage stats. Fork and improve existing models. A true marketplace of intelligence.

Community

GDPR & HIPAA Compatible

Because data is encrypted before leaving the client, there is no data transfer to regulate. FHE inference is inherently compliant — the processor never accesses personal data in the clear.

Compliance

Verifiable Inference

Every inference call is recorded on-chain with a cryptographic proof that the correct model was executed on the submitted ciphertext. Audit any prediction, verify any result, trust no one.

Transparency

ATSHI ML Marketplace vs. Cloud AI

Every cloud AI provider requires you to upload your raw data. ATSHI never does.

Feature AWS SageMaker Google Vertex AI Ocean Protocol ATSHI ML Marketplace
Data Privacy Provider sees data Provider sees data Compute-to-data (partial) FHE — zero exposure
Data Location AWS cloud (US parent) Google cloud (US parent) Varies by provider Client-side encrypted
Creator Royalties None (pay AWS) None (pay Google) Token-based ~60% per call
Revenue Model Usage fees to AWS Usage fees to Google Data token staking 60/20/20 auto-split
Decentralization Centralized Centralized Partially decentralized Fully decentralized
Encryption Technology TLS in transit only TLS in transit only None (FHE) FHE (concrete-ml)
Expert Accessibility Requires AWS expertise Requires GCP expertise Technical barrier SDK — deploy in minutes

Deploy Your AI Model — Earn on Every Prediction

Join the marketplace where expertise meets privacy. Deploy ML models that run on encrypted data, earn automatic royalties on every call, and give your users the data sovereignty they deserve.