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Arbiata

Precision arbitrage powered by AI, not guesswork

ビデオ

テックスタック

React
Next
Web3
Solidity
Node
Gemini
Across protocol
Uniswap v3

説明

Arbiata

Arbiata is an AI-powered arbitrage executor designed to identify and execute only genuinely profitable opportunities in decentralized finance (DeFi). Unlike traditional arbitrage bots that rely purely on price differences, Arbiata evaluates real-world execution constraints before committing to any on-chain action.

🚀 Problem Statement

Most arbitrage bots fail because they ignore hidden and dynamic costs such as gas fees, slippage, liquidity depth, MEV risk, and cross-chain bridge fees. These overlooked factors often turn seemingly profitable trades into losses.

Arbiata addresses this by introducing an intelligent decision layer that filters out loss-making trades before execution.

🧠 How It Works

Arbiata combines AI-driven analysis with real-time protocol data to:

  • Analyze gas costs, slippage, and liquidity depth

  • Evaluate MEV risk and execution feasibility

  • Calculate cross-chain bridging fees using Across Protocol

  • Simulate trade outcomes before execution

  • Execute trades only when net profitability is positive

This ensures capital is deployed efficiently and only when conditions are favorable.

🧪 Current Status

The system is currently deployed on a testnet to validate execution logic, simulations, and fee calculations. Continuous improvements are being made to enhance reliability and accuracy.

🔮 Roadmap

  • Improve AI decision accuracy and risk modeling

  • Expand multi-chain and multi-DEX support

  • Optimize MEV-aware execution strategies

  • Deploy to mainnet after security and stability validation

👥 Team

  • Santu Patra

  • Sampurna Pyne

  • Diya

🏷 Tech Stack

  • EVM-compatible blockchains

  • AI-driven decision engine

  • Smart contracts

  • Off-chain simulation & execution logic

  • Across Protocol for cross-chain fee estimation


Tagline:
AI-powered arbitrage that executes only when profit is real.

ハッカソンの進行状況

We started by identifying why most arbitrage bots fail and designed Arbiata around avoiding unprofitable trades. The focus was on building an AI-driven decision layer that considers real execution costs and risks. During the hackathon, we implemented and deployed the system on a testnet to validate logic, simulations, and execution flow. The next step is refining performance and moving toward mainnet deployment once stability and accuracy are fully proven.
チームリーダー
SSantu_devth
プロジェクトリンク
業界
DeFiAI