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MIDNIGHT PREVIEW NETWORK

PrivateInfer

Confidential AI Inference

A trustless marketplace for private, verifiable�AI inference — without exposing sensitive queries.

Encrypted Inputs

TEE Execution

ZK Verification

tDUST Escrow

PRODUCT SHOWCASE

Healthcare • Legal • Finance

Secure the query. Verify the inference. Settle automatically.

LIVE DEMO

Medical analysis • encrypted before leaving device

Preview testnet deployment

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01 • THE PROBLEM

Sensitive AI needs utility without data exposure.

Critical industries are blocked by a simple trade-off: powerful inference vs. confidential data.

THE PRIVACY GAP

Send data to a centralized model → lose control. | Put data on a public ledger → create permanent exposure.

01

Centralized AI APIs

Confidential prompts and records leave the organization and become dependent on a third party.

02

Public Blockchains

Sensitive payloads cannot safely live in immutable public state, even when access is controlled.

03

Trust Gap

A provider may return an answer — but users need a way to verify execution without revealing the data.

PrivateInfer is designed around the verification layer — not just the inference layer.

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02 • THE PRODUCT

PrivateInfer turns confidential inference into a verifiable workflow.

Execution stays off-chain; the Midnight network coordinates state, proof verification and settlement.

01

Encrypt

Query Maker encrypts sensitive input locally.

02

Process

Provider executes the model inside a protected TEE.

03

Prove

Provider returns an inference result + ZK proof.

04

Settle

Smart contract verifies proof and releases tDUST escrow.

CORE PROMISE

The ledger sees proof.�The provider sees only what�it needs to execute.

QUERY

🔒

PROOF

✓

PAYMENT

tDUST

No raw medical / legal payload is required in public state.

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03 • USER FLOW

From sensitive query to verified result.

A single request moves through encryption, execution, proof verification and automatic settlement.

Query Maker

Enter sensitive query�+ choose provider

Encrypt

Local encryption�+ commitment

Provider

Claim task�+ run in TEE

ZK Proof

Result + proof�submitted

Midnight

Verify → release�escrow

ON-CHAIN STATE MACHINE

PROCESSING

RESULT READY

PROOF VERIFIED

PAID

Public state tracks lifecycle + commitments — not the sensitive payload.

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04 • SYSTEM ARCHITECTURE

A split architecture: private execution, public verification.

The design separates data confidentiality from decentralized coordination.

QUERY MAKER

Next.js UI • 1AM Wallet

Encrypt + commit locally

AI PROVIDER

Provider Hub • AI Node

Claim + execute + prove

MIDNIGHT PREVIEW

Compact Smart Contract

Public State

Job state + commitments

Private Witnesses

Caller / secret assertions

Escrow

tDUST lock + release

OFF-CHAIN EXECUTION

TEE / Secure Runtime

AI model�↓�Inference result�↓�ZK proof generation

PRIVATE PATH

encrypted payload / private witness

PUBLIC PATH

commitments / state / proof verification

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05 • QUERY MAKER

A privacy-first request experience.

The requester never needs to publish the underlying medical, legal or financial payload.

New Private Query

MEDICAL ANALYSIS

Sensitive prompt

Patient presents with mild symptoms…

Encrypted locally before submission

1AM WALLET

Commitment

0x8f4c…3b92

SUBMIT QUERY

REQUEST LIFECYCLE

01

Compose

Choose model / provider

02

Encrypt

Keep raw input local

03

Commit

Anchor request on-chain

04

Escrow

Lock tDUST for settlement

Privacy principle: public state ≠ public payload

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06 • PROVIDER HUB

Providers monetize AI without becoming a data honeypot.

The provider receives a job through the marketplace, executes it in a protected runtime and submits verifiable output.

Provider Hub

3 OPEN JOBS

Medical analysis

2.4 tDUST

HIGH

CLAIM

Legal document

1.8 tDUST

MED

CLAIM

Risk classification

3.1 tDUST

HIGH

CLAIM

PROVIDER EXECUTION

1

Claim

2

Decrypt / access

3

Run model in TEE

4

Generate ZK proof

5

Submit result

Provider value

Earn per verified inference • preserve model IP • automate settlement

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07 • TRUST MODEL

Three controls close the trust gap.

PrivateInfer combines confidentiality, verifiability and economic settlement in one workflow.

01

Confidentiality

Encrypted inputs + private witnesses keep sensitive payloads out of public state.

02

Verifiability

A proof-backed result lets the contract validate the requested computation before settlement.

03

Accountability

Escrow aligns payment with successful verification instead of blind trust in a provider.

TRUST CHAIN

Local�Encryption

TEE�Execution

ZK�Proof

Contract�Verification

tDUST�Release

Design target: minimize what any single actor must be trusted to disclose or decide.

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08 • HACKATHON SCOPE

A focused MVP with a clear path beyond the demo.

Current deployment target: Midnight Preview Network / Preview testnet environment.

01

SMART CONTRACT

Compact contract deployed on Preview

Job lifecycle

Proof verification

tDUST escrow

02

QUERY MAKER

Next.js + 1AM Wallet

Encrypted query UX

Commitments

Payment flow

03

PROVIDER HUB

AI node dashboard

Claim jobs

TEE execution

Proof submission

NEXT

Preview MVP

End-to-end proof + escrow demo

Testnet pilots

Real providers / real workloads

Production hardening

Audits • model attestations • observability

NETWORK NOTICE • Smart contracts and transactions are currently deployed exclusively on Midnight Preview Network.

PRIVATEINFER • MIDNIGHT PREVIEW

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