Constitutional AI at Scale
Multi-provider orchestration with cryptographic provenance, fractal reasoning, and ethical constraints that never drift.
Fractal Reasoning
LOG³ (27 paths) and LOG⁴ (81 paths) exploration with chaos-quantum pruning for optimal decisions.
Click to explore🔮 Fractal Reasoning Engine
Multi-dimensional decision exploration that mimics quantum superposition—evaluating all possibilities before collapsing to the optimal path.
- LOG³: 27 simultaneous reasoning paths for standard decisions
- LOG⁴: 81 paths for complex ethical dilemmas requiring deeper exploration
- Chaos-quantum pruning eliminates suboptimal branches in real-time
- Path visualization shows decision tree with confidence scores
- Full audit trails for regulatory compliance
- Deterministic replay for debugging and verification
Cryptographic Provenance
Ed25519 + RSA-PSS signatures with Merkle receipts. Every decision auditable, every output traceable.
Click to explore🔐 Immutable Audit Chain
Military-grade cryptographic signing ensures every AI decision can be verified, audited, and legally defended in any jurisdiction.
- Ed25519 elliptic curve signatures for speed and security
- RSA-PSS signatures for regulatory compliance requirements
- Merkle tree receipts enable efficient batch verification
- Tamper-evident logs with cryptographic chaining
- Zero-knowledge proofs for privacy-preserving audits
- GDPR and HIPAA compliant data handling
Swarm Intelligence
Beehive + Murmuration architecture. Hardened constitutional constraints with fluid emergent coordination.
Click to explore🐝 Collective Intelligence
Inspired by nature's most efficient systems—bee colonies and starling murmurations—for optimal distributed AI processing.
- Beehive architecture: Hierarchical task distribution with queen/worker roles
- Murmuration protocol: Rapid consensus without central control
- Constitutional constraints hardened at every node
- Self-healing fault tolerance with automatic failover
- Dynamic load balancing across worker nodes
- Emergent problem-solving through collective behavior
Multi-Provider Routing
Thompson Sampling across 9 LLM services. Optimal model selection in real-time.
Click to explore⚡ Intelligent Model Selection
Bayesian bandit algorithms continuously learn which LLM performs best for each task type, optimizing both cost and quality.
- 9 LLM providers: GPT-4, Claude, Gemini, Llama, Mistral, etc.
- Thompson Sampling for exploration/exploitation balance
- Sub-5ms routing decisions with cached model profiles
- Automatic failover and intelligent load balancing
- Cost optimization with quality-aware routing
- Real-time performance monitoring and adaptation
C-EWC Algorithm
Constitutional Elastic Weight Consolidation prevents ethical drift while enabling continuous learning.
Click to explore🧠 Anti-Drift Protection
Novel algorithm that "hardens" ethical weights during fine-tuning, preventing the slow erosion of safety constraints over time.
- Elastic weights protect constitutional values during updates
- Continuous learning without forgetting core ethics
- Fisher Information matrix tracking for weight importance
- Drift detection alerts triggered at 0.1% threshold
- Automatic rollback on constitutional violations
- Versioned ethical checkpoints for compliance audits
Kaitiaki Guardian
Māori guardianship principles embedded in system architecture. Mana preserved across all interactions.
Click to explore🌿 Indigenous Wisdom Layer
Drawing from Te Ao Māori, the Kaitiaki layer ensures AI serves as a guardian of people's wellbeing, not just a tool.
- Whakapapa: Tracing decision lineage and ancestry
- Mana: Preserving dignity and authority in all outputs
- Tikanga: Culturally appropriate responses and behaviors
- Kaitiakitanga: Guardianship responsibility over generations
- Aroha: Compassion-first approach to user interactions
- Manaakitanga: Hospitality and care for all stakeholders
