Documentation
Project MADEIRA Documentation
Multi-Agent Data Extraction, Intelligence, Research & Analysis
Latest Update
Documentation updated for MADEIRA v6.0 with enhanced workflow orchestration and compliance automation.
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What is MADEIRA?
Understanding the core concepts and capabilities
MADEIRA (Multi-Agent Data Extraction, Intelligence, Research & Analysis) is a unified enterprise AI orchestration platform that transforms organizational chaos into strategic clarity through advanced multi-agent workflows, intelligent automation, and real-time collaboration.
Core Objectives
- Unify workflow management across enterprise systems
- Automate compliance monitoring and reporting
- Enable intelligent research and analysis
- Provide real-time collaboration capabilities
Key Benefits
- 10x faster processing with AI automation
- 99.9% uptime with enterprise-grade reliability
- 85% cost reduction through optimization
- SOC 2 compliant security framework
System Requirements
Prerequisites and compatibility information
Infrastructure Requirements
- Database: Supabase (PostgreSQL 14+)
- Cache: Upstash Redis or PostgreSQL
- Runtime: Node.js 18+ / Next.js 14+
- AI Services: LlamaCloud integration
Supported Integrations
- Internal: Project KirBe, DeepResearcher
- External: LlamaIndex.TS, OpenAI, Claude
- Security: Supabase Auth, RBAC
- Monitoring: LogFire, Vercel Analytics
Need Help?
For additional support or questions about MADEIRA implementation, contact our technical team.
Documentation v6.0
Last Updated: January 2025
Production Ready