SIPAP: Sports Intelligence Platform
AI-powered probability assessment delivered via WhatsApp. Five specialized agents analyze statistical models, machine learning predictions, team form, market sentiment, and news intelligence to identify positive expected value opportunities.
The Problem We Solve
Betting markets are complex, data is scattered across multiple sources, and existing platforms operate as black boxes. Users need transparent intelligence, not just odds.
Scattered Data Sources
Sports data is fragmented across dozens of platforms. Aggregating insights manually is time-consuming and error-prone.
Black Box Predictions
Existing platforms provide predictions without explanation. Users have no way to validate the reasoning or understand confidence levels.
High Friction Access
Mobile apps require downloads, registrations, and permissions. Users in emerging markets need zero-friction access.
No Expected Value Analysis
Most platforms show odds without comparing them to true probabilities. Users can't identify where the market is mispriced.
Our Solution
SIPAP combines five specialized AI agents with WhatsApp-first delivery to provide transparent, evidence-based sports intelligence.
Multi-Agent Intelligence
Five specialized AI agents work together: Statistical Model Agent, ML Prediction Agent, Team Form Agent, Market Sentiment Agent, and News Intelligence Agent.
WhatsApp-First Interface
Zero app downloads required. 80-95% WhatsApp adoption in target markets means instant access for millions of users.
Expected Value Analysis
Compare our probabilities vs market odds to identify +EV opportunities. Calculate edge, assess risk, and show confidence levels on every prediction.
Transparent Reasoning
Every prediction shows evidence sources, agent-by-agent breakdown, quality gates, and ensemble confidence. Users see exactly how we arrive at conclusions.
Technical Architecture
Production-grade AWS infrastructure orchestrating 60+ resources for sub-100ms response times.
Development Journey
Common Libraries & Data Infrastructure
Built sipap-common (shared utilities), sipap-serverlesshandler-mcp (MCP base classes), and sipap-batch-scraper (API-based data collection). Achieved zero quality gate errors: 0 mypy errors, 0 ruff errors, 85%+ test coverage.
Data Layer & AI Integration
Deployed 5 MCP servers (Sports Data, Odds Intelligence, News Intelligence, Weather Data, Prediction Engine). Integrated Claude AI via AWS Bedrock for natural language processing and sentiment analysis.
Multi-Agent System & Interface
Built sipap-master orchestrator coordinating 5 specialized agents. Integrated Twilio WhatsApp Business API for conversational interface. MVP technically complete at 97% - waiting for business verification to go live.
Ready to Launch
SIPAP MVP is 97% complete. Launching Q2 2026 with global soccer coverage.