About KoBeSca Token Sale
The KoBeSca project ($KBS token) is an innovative AI-powered decentralized exchange (DEX) platform that revolutionizes DeFi by combining seamless trading with intelligent features and passive income opportunities. At its core, $KBS powers a thriving ecosystem where users can swap tokens efficiently, provide liquidity to farms and pools for rewards, stake for real-yield and compounded growth via Multiplier Points, and participate in a fair launchpad for new projects. Advanced AI drives real-time market analysis, optimized liquidity aggregation, reduced slippage, high-yield opportunity identification (especially in stablecoins), and trend prediction tools, enabling faster, low-fee, multichain transactions across Ethereum, Binance Smart Chain, Polygon, and Arbitrum.
Unlike traditional DEXs, KoBeSca emphasizes transparency, community governance, secure peer-to-peer exchanges, and true asset ownership, making DeFi more accessible and profitable for everyday users. A 1% buy/sell tax funds ongoing rewards and token burns to enhance scarcity. The platform is backed by smart contract audits, KYC verification, and a focus on data sovereignty. The ongoing presale, hosted directly on the official website, allows purchases using compatible wallets and various tokens (ETH, BNB, POL, ARB, USDT, USDC, etc.) across supported networks, with immediate token release via locked smart contracts and bonuses for social sharing or referrals. Funds allocation prioritizes development (35%), marketing/branding (25%), liquidity (25%), and buybacks (15%) for value stability.
With a total supply of 500,000,000,000 tokens (ERC-20/BEP-20 compatible), the project has achieved DEX liquidity and is pursuing major CEX listings, plus visibility on platforms like CoinMarketCap, CoinGecko, and chain explorers. The Q1 2026 roadmap includes full rollout of farms, pools, staking, launchpad features, expanded marketing, and ecosystem enhancements to drive adoption in the AI-DeFi space through strategic partnerships and continuous optimizations.