Product Architecture
System Architecture: From Raw Data to Structured Intelligence
Atlaix is engineered on a modular, three-layer architecture. This design ensures our platform is scalable, reliable, and that every insight delivered to the user is grounded in verifiable data.
AI is not a single component; it is the connective tissue woven throughout the system, transforming complex correlations into clear, actionable context.
1. The Data Layer: The Ingestion & Normalization Engine
This layer serves as the platform’s central nervous system, responsible for the high-velocity ingestion and structuring of data from across the crypto ecosystem. Its sole focus is on accuracy, consistency, and reliability.
Data sources include:
Real-time on-chain events from our Moralis Stream integrations (EVM & Solana).
Historical blockchain data from our archive node providers.
Curated social signals from our proprietary Influencer Curation Engine.
Market data from institutional-grade providers.
At this layer, all incoming data is normalized into a standardized format. AI's role here is subtle but critical: it performs initial noise reduction and pattern recognition to ensure the data is perfectly prepared for analysis by our core engines.
2. The Intelligence Layer: The Core Analysis & Synthesis Engine
This is the heart of Atlaix, where raw, structured data is forged into true intelligence. This layer is home to our proprietary analysis engines, which run continuously to find signal in the noise.
These systems are designed to:
Detect Anomalies: Continuously scan on-chain and market data to surface statistically significant deviations from normal behavior, such as unusual volume spikes, liquidity shifts, or volatility expansion.
Analyze Cohort Behavior: Move beyond single-wallet analysis to track the collective actions of meaningful wallet cohorts, including high-performing traders, large-scale holders, and early participants in specific assets.
Assess Structural Integrity: Forensically audit assets for fundamental quality, including launch fairness for new tokens, contract security, and liquidity health for established ones.
It is here that the AI Synthesis Layer operates. After our engines detect a significant, correlated event, the AI's role is to interpret the "why." It cross-references the event with data from all other engines to generate the concise, contextual "Insight Card" that explains what happened and why it matters.
3. The Delivery Layer: The User Experience
The final layer is a clean, intuitive environment designed not for endless exploration, but for rapid comprehension. The UX Layer does not present raw data; it presents the finished, high-conviction intelligence produced by the layers below.
Here, structured insights are delivered through our modular UI, including:
The Alpha Feed: For curated, at-a-glance market discovery.
The Detection View: For real-time situational awareness.
The Token Investigation Dashboards: For deep, forensic analysis.
Within this layer, AI acts as an embedded assistant, providing on-demand explanations to help users understand the data without ever leaving their workflow.
Our AI Design Principles
Our AI framework is governed by three unwavering principles:
Interpretation over Prediction: Our AI explains why something happened, it does not forecast what will happen.
Transparency over Abstraction: Every AI-generated insight is directly traceable to the verifiable on-chain and social data that produced it.
Clarity over Complexity: Our AI's primary function is to translate complex, multi-dimensional data into simple, human-readable language.
Last updated