MetaBrain™ is a patent-pending AI orchestration architecture that coordinates any number of AI/ML engines into unified intelligence swarms. One brain. Infinite applications. Total Innovation.
Every AI engine knows what it is, what it can do, and how well it's performing. 17 standardized capabilities per engine.
One directive cascades through all engines. Each interprets through its domain expertise. Change the goal, every engine adapts.
Daily after-action review. Weekly deep research. Bi-weekly innovation scanning. The system never stops improving.
Links MetaBrains across applications and organizations. AI-to-AI insight sharing. Cross-org intelligence mesh.
Central AI orchestration for any number of engines
Cross-org AI mesh with 25 universal common fields. Total awareness across organizations.
Multi-model AI consensus with dissent detection. Any decision requiring multiple expert opinions.
4-scanner self-healing with LLM-powered diagnostics. Any system, any domain, any failure mode.
Zero-propagation emergency halt via parallel broadcast
Single directive cascading through all engines
Three learning cycles: daily After Action Review, Sunday deep research, bi-weekly engine rewire.
Autonomous system optimization. Bi-weekly innovation discovery with profit factor gap detection.
Specialist LLM routing by domain expertise
Self-tuning conviction floor with winning streak preservation. Tightens below target, holds firm above.
Momentum-aware position management
25 universal common fields. Any engine queries any engine. Total awareness via shared persistent memory.
Cross-org AI mesh over HTTPS 443. JWT partnerships. Zero firewall changes. PUBLIC to TOP_SECRET classification.
Autonomous gate discovery. 6 specialist LLMs propose new conviction gates. Human-approved. Live hot-injection.
19 pre-trade gates → 24 conviction gates → 11 anti-patterns. Three-layer cascade. Every trade must survive all three.
Winning Streak Preservation. Adaptive floor never loosens when outperforming. Anti-mean-reversion threshold.
Three-tier target hierarchy. Aspirational / Operational / Portfolio. Metric-aware gap detection with tier-specific actions.
Performance-driven AI engine incentives. High performers get more resources. Underperformers get retrained.
Convert any database to MetaBrain-compliant with one command. Add 25 common fields to any existing schema.
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