Architecture

Understand the technical infrastructure behind SIRE

1. <INIT> Information Intake Slots open for multi-source packets: Subnet-44 vision, proprietary datasets, live match feeds, market odds, analyst notes.

2. Model Processing SIRE LLM builds features, normalises inputs, and fuses packet context windows for possession and game state.

3. Multiple Prediction Runs Ensembles run across horizons and markets. Each run samples different packet mixes to estimate edge, fair price, and probability.

4. Outcome Tracking All bets, lines, and results are logged in real time. This audit trail makes performance verifiable and drives continuous improvement by revealing what works, what doesn’t, and where to adjust.

5. Performance Scoring Packets and models scored by PnL, calibration, Brier, Sharpe, and regime tags. Attribution by league, market, and model family.

6. Dynamic Weighting Up-weight profitable packets, down-weight or replace weak ones. Kelly-tempered sizing with drawdown and volatility guards.

7. Iterative Optimisation <SUCCESS> Retrain, reweight, redeploy. Push sharper signals to αLink and agentic execution to αVault.

Read more in The Multi-Source Prediction Engine section.

Component roles

Unique Data Layer Purpose: capture sports intelligence unavailable to traditional analytics. Role: combine Subnet-44 computer vision with proprietary datasets and real-time match data to unlock pattern recognition and prediction.

Quantitative Engine Purpose: turn events into equations with institutional-grade models. Role: evolve from baselines (Elo, Davidson, Dixon-Coles, Sarmanov) into meta-models and SIRE LLM, with risk systems proven in hedge-fund settings.

Autonomous Agent Purpose: bridge sophisticated analytics with everyday users. Role: deliver predictions in αLink and execute via automated pools and αVault.

By integrating these components, SIRE enables:

Phase 1: Core Infrastructure

• Real-time vision analysis of football matches

• Basic automated betting strategies

• Distribution of predictions via αLink

• Initial platform integrations

Phase 2: Enhanced Operations

• Multi-model prediction systems

• Advanced risk management

• Benchmarking dashboard to show performance

Phase 3: DeFi Integration

• On-chain betting execution

• Full tokenomics implementation

• Decentralized governance

• Cross-chain deployment

Phase 4 [REDACTED]

The result is a scalable system where proprietary data and quantitative analysis power automated betting strategies, positioning SIRE as the first true bridge between institutional sports betting and DeFAI.