Automate, Trade, Track, Sell. Fully Private

AI AGENT MARKETPLACE

Ai agents need their privacy perspective. When it comes to Algorithmic trading, it is crucial. Our vision is verifiable performance without exposure of logic and have full privacy.

BENEFITS

Why Choose Quantify?

Integration path to get you onto Solana much faster.

Integration

Skipping the heavy load of massive L1. We are fast, focused, and have a crystal-clear use case

Partnership

Own the narrative for confidential AI from day one

Narrative

What we can buld together is incredibly powerful: AI agents, on-chain trading, Solana, and full privacy

Technical Encryption

How does Zama fit in?

Strategy Logic Encryption

Agent configurations with full privacy

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Agent Price Action

Price Volume Agent

Agent 3:1 R

Encrypted Agent Marketplace

This allows creators to sell their agents without exposing algo and being private

Code

FHE PIPELINE

encryptedInput = FHE.encrypt(fetchMarketData())

encryptedConfig = FHE.encrypt(agentConfig)

encryptedMetrics = FHE.computeMetrics(encryptedInput)

encryptedSignals = FHE.compare(encryptedMetrics, encryptedConfig.thresholds)

encryptedDecision = FHE.evaluate(encryptedConfig.strategy, encryptedSignals)

decision = FHE.decrypt(encryptedDecision)

executeTrade(decision) storeEncryptedHistory(encryptedDecision) sendEncryptedNotification(encryptedDecision)

Encrypted Decision Engine

Encrypted logic and evaluate it against market data with an encrypted trade decision to keep everything private

Encrypted Portfolio Storage

Performance verifiable but fully private

FEATURES

All features in one place

All in one Ai Agent Marketplace

Creation of Agents

Fully Customizable

Algorithmic Trading

Total Privacy

Performance Tracking

Agent Marketplace

PROCESS

Implementation of FHE

STEP 1

STEP 2

STEP 3

Postgres migration (DDL)

We store only ciphertext URIs & proof metadata in Postgres. No plaintext strategies, PnL, or trades are persisted.