Technical Foundation

1. Smart Contract Layer (On-chain)

The Smart Contract Layer forms the trustless execution core of ORAIX. All financial interactions are automated, verifiable, and immutable.

• LBP & Bonding Curve Contracts These contracts govern capital raising, token issuance, and dynamic pricing. They allow projects to configure initial token weights, curve slopes, floors, and caps, ensuring fair discovery and minimizing manipulation. Liquidity locks and anti-slippage rules are hard-coded, preventing rug-pulls or sudden drains.

• NFT Rights & Access Contracts NFT smart contracts represent tiered participation passes. They define who can join presales, the size of allocation, and bonus multipliers. Built as ERC-721/1155 standards, they remain tradable on secondary markets, ensuring interoperability with marketplaces while retaining protocol-level utility.

• Programmable Vesting Contracts Vesting schedules are embedded directly into smart contracts. Unlike static cliffs, these contracts integrate with the AI layer, allowing parameters like unlock rate, time intervals, and bonus yields to be dynamically adjusted in response to external signals. This ensures fair, flexible, and tamper-proof token distribution.

2. AI Engine Layer (Off-chain)

The AI Engine operates off-chain in a secure, verifiable environment, serving as the decision-making intelligence of the protocol.

• NLP for Whitepaper Understanding Using natural language models, the engine parses project documents, detecting vagueness, technical inconsistencies, or plagiarism. It produces a quality score and highlights key risk areas for transparency.

• Team Identity & Background Validation Cross-references claimed identities with LinkedIn, GitHub, past wallet addresses, and community history. It detects fake personas, recycled scam teams, or missing proof of work, ensuring that only credible teams pass screening.

• On-chain Behavior Modeling AI models analyze historical transaction graphs, liquidity flows, and wallet clustering patterns. They identify whether a project has previously engaged in pump-and-dumps, wash trading, or exploit-related activity. This creates a behavioral fingerprint of the team and associated addresses.

• Market Health & Sentiment Monitors Real-time feeds ingest social sentiment, trading volume, holder distribution, and volatility indexes. These inputs allow the AI to predict when the market may face excessive sell pressure or manipulative trading, feeding back into vesting and fundraising logic.

3. Data Router & Risk Orchestrator

The Data Router acts as the bridge between off-chain intelligence and on-chain enforcement, ensuring that AI insights are applied in a transparent, trust-minimized way.

• AI → Smart Contract Synchronization The router converts off-chain model outputs (scores, alerts, parameter recommendations) into on-chain signals. These signals are cryptographically signed and verified, ensuring they cannot be tampered with before influencing smart contracts.

• Dynamic Parameter Updates The orchestrator pushes real-time updates to token unlock schedules, LBP weight adjustments, or NFT utility triggers. For example, if sell pressure is detected, vesting contracts can automatically throttle token releases.

• Fraud Detection & Emergency Controls The orchestrator monitors for anomalies such as whale dumping, liquidity drains, or coordinated Sybil attacks. In critical cases, it can trigger circuit breakers, pause vesting, or escalate to DAO governance for community decision-making.

• Transparency Layer All AI-generated insights, scores, and parameter changes are published to a public Risk Dashboard, ensuring investors see exactly why a decision was made. This eliminates the “black box” problem often associated with AI systems.