Overview
Explore SIRE's revolutionary approach to sports betting intelligence
SIRE is an agentic sports-betting DAO that delivers institutional-grade predictions and uncorrelated yield. It fuses Score Vision’s decentralised computer-vision data with quantitative models, surfaces edge, and democratises it through DeFi vaults (αVault) and a token-gated LLM Terminal (αLink).
The Technology
SIRE runs on three interlocking layers that turn live sport into a deployable edge.
Unique Data Layer Score Vision (Bittensor Subnet 44) is a primary contributor to the system. It converts live video into tracking-grade coordinates and events, and packages Vision-Language-Action (VLA) and Player Value Function (PVF) insights as contributor “packets.” These sit alongside proprietary datasets, live match feeds, market odds, and analyst notes.
Quantitative core Combines and reweights multi-source signals in real time. For each target, it ingests contributor packets (incl. Score’s VLA/PVF), fuses them with the SIRE LLM, runs multiple passes to price edge and fair value, logs outcomes, scores contributors by live PnL/calibration, and reweights on the fly. Sizing uses fractional Kelly with edge thresholds. The LLM-first design uncovers independant signals from large context windows for live, adaptive performance.
Autonomous Agent Signals surface in the token-gated αLink and execute through automated pools and αVault. Every decision is logged from odds to settlement so performance stays verifiable and the system improves continuously.
Continuous data loop
The engine ingests and recalculates every second:
Real-time match events and visual streams
Player and team performance metrics
Historical patterns and contextual priors
Market prices, liquidity gaps, and risk parameters
The result is a live stream of institutional-grade edge, ready for bettors, partners, and automated vaults to deploy at scale.
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