🌟 QUAO SINITRA — PROFESSIONAL ASI PLATFORM
📋 Описание продукта:
Quao Sinitra — это профессиональная платформа Artificial Superintelligence (ASI), представляющая собой полнофункциональную систему автономного интеллекта корпоративного уровня. Система интегрирует передовые технологии машинного обучения, нейросимволических рассуждений, квантовой криптографии и автономного принятия решений.🎯 Ключевые возможности
1. Multimodal AI Interface Voice IntelligenceSpeech-to-Text: Whisper API с поддержкой 99+ языков, точность 95%+Text-to-Speech: OpenAI TTS (6 голосов) + ElevenLabs (custom voices) Real-time Voice Activity Detection (VAD) с 20ms latency Speaker Diarization: автоматическое разделение до 6 спикеров Audio Quality Analysis: SNR detection, noise cancellation Document ProcessingVision Analysis: GPT-4V для анализа изображений с OCR File Creation: PDF, DOCX, JSON, Images (automated generation) Document Analyzer: Multi-page PDF processing с text extraction Memory & ContextVector Memory Engine: FAISS HNSW с 1536-dim embeddings RAG (Retrieval-Augmented Generation): Top-K semantic search Memory Namespaces: Hierarchical memory organization Conversation Graph: Relationship tracking между queries
2. O3-Level Reasoning Engine Advanced Reasoning ModesChain-of-Thought (CoT): Step-by-step logical reasoning Tree-of-Thoughts (ToT): Multi-branch exploration Monte Carlo Tree Search (MCTS): UCB1-based exploration Self-Consistency: Multi-path voting (3-8 paths) Beam Search + PRM: Process Reward Model evaluation Best-of-N Sampling: DeepSeek-style quality selection Reflection Mode: Self-critique with iterative improvement Multi-Agent Reasoning: 4-agent collaborative reasoning Hybrid Adaptive: Automatic complexity-based mode selection Process Reward Model (PRM) Step-by-step evaluation (-1.0 to +1.0)Logical marker detectionSelf-correction recognitionCumulative reward trackingTool Execution Python code sandbox (Docker/gVisor)Calculator (mathematical expressions)Web search integration readyDatabase queries (SQL support)API calls (HTTP/REST)
3. Advanced ASI Extensions Multimodal World ModelPhysics Simulator: Gravity, friction, collisions (Verlet integration) Forward Model: LSTM-based trajectory prediction Embodiment State: Physical body с joints/sensors Vision Engine: Optical flow, object detection Reinforcement Learning Engine Deep Q-Network (DQN) с правильным backpropagationTarget Network: Double DQN для stabilityExperience Replay: 100K bufferEpsilon-greedy Exploration: Adaptive decayNeuro-Symbolic Reasoning Symbolic Logic: Rules, facts, forward chaining Neural Embeddings: 768-dim vectors Hybrid Inference: Symbolic + neural search Knowledge Base: 10K+ facts capacity Self-Modifying Code Engine 6 Mutation Types: Algorithm optimization, caching, parallelization, SIMD Performance Tracking: Atomic metrics Safety Checks: Dependency validation Version Control: Automatic rollback Multi-Agent Learning Agent States: Position, health, energy tracking Message Passing: Inter-agent communication Coordination: Cooperative/Competitive strategies Social Learning: Collaborative adaptation
4. Cognitive Core & Meta-Learning Self-Model Calibration: Predicted vs actual confidence trackingAwareness: Known blindspots, capabilities, limitationsLimits: Reasoning steps budget, cognitive load monitoringHeuristic Evolution Engine Population-based: 200 heuristics maxMutation: Genetic algorithm with fitness trackingFailure Synthesis: Auto-generation from errorsDomain-specific: Anomaly detection, threat assessmentGoal Derivation Engine 7 Goal Types: Uncertainty reduction, knowledge expansion, hypothesis verification Auto-derivation: From system entropy and error ratesUrgency Ranking: Expected value calculationSub-goal Decomposition: Hierarchical planningCausal Analyzer Causal Chains: Forward/backward chainingBayesian Updates: Prior probability refinementHypothesis Testing: Automated verification queuesEvidence Gathering: Multi-source correlation
5. Production Infrastructure Multi-LLM Integration Claude Sonnet/Opus 4.5: 200K context, $3/15 per 1M tokens Gemini 3.0 Pro: 1M context, $1.25/5 per 1M tokens Auto Provider Selection: Based on task type Fallback Logic: Automatic failover API Server (Production-Grade) JWT Authentication: HMAC-SHA256, RFC 7518 compliant Rate Limiting: Token bucket per-user (100 req/min) Circuit Breaker: 5 failures → OPEN, 30s timeout Backpressure Control: 100 concurrent max Prometheus Metrics: Latency histograms, QPS tracking Security & Cryptography Quantum-Safe: ML-KEM-768 + ML-DSA-65 (FIPS 204) Triple Signing: ECDSA + ML-DSA + Dilithium AES-256-GCM: Sensitive data encryption FIPS 140-3: Self-test compliant Enterprise Features Async Task Queue: Non-blocking operations Cache Engine: 500MB TTL cache Batch Processing: 32 requests/batch, 8 parallel Memory Export: Encrypted backups with password User Profiles: Personalization (voice, language, brevity)
6. Advanced ML Infrastructure Production GPU ManagercuDNN 9: Optimized kernels cuBLAS: Matrix multiplications (GEMM) NCCL: Multi-GPU distributed training Stable Softmax: Numerically safe attention Transformer Engine Flash Attention: Q/K/V projections KV-Cache: FAISS HNSW для fast retrieval Tokenizer: TikToken-cpp (GPT-2 BPE) Batch Encoding: 100x faster processing ZeRO-3 Distributed Training State Sharding: Optimizer states distributed Gradient Synchronization: NCCL AllReduce CPU Offload: 40B+ models support
7. Cybersecurity Suite AI Malware DetectionTensorFlow Lite: ML inference YARA Rules: Signature matching Behavioral Analysis: Anomaly scoring Threat Levels: 6 levels (CLEAN → ZERODAY) Enterprise Sandbox gVisor: Secure container isolation eBPF Monitoring: Syscall tracing MITRE ATT&CK: Technique mapping Auto-retraining: 5K samples → model update
💼 Use Cases1. Enterprise AI AssistantMultimodal query processing (voice/text/images)Document generation and analysisPersonalized responses по user profileContext-aware memory across sessions2. Research & DevelopmentAdvanced reasoning для complex problemsHypothesis generation and testingCausal inference и root cause analysisSelf-improving heuristics3. Autonomous SystemsEmbodied AI с физической симуляциейReinforcement learning для roboticsMulti-agent coordinationReal-time decision making4. CybersecurityThreat detection с MLBehavioral anomaly detectionAutomated incident responseMITRE ATT&CK mapping5. Scientific ComputingGPU-accelerated inferenceDistributed training (ZeRO-3)Quantum-safe cryptographyProduction-grade deployment
💰 ЦенообразованиеSTARTER — $499/месяц10,000 API calls/месяц1 concurrent userClaude Sonnet 4.5 + Gemini 2.5Basic reasoning modes (CoT, Direct)Vector memory (10K engrams)Community supportPROFESSIONAL — $1,999/месяц ⭐ POPULAR100,000 API calls/месяц10 concurrent usersВсе reasoning modes (O3, MCTS, Beam Search)Advanced memory (100K engrams)Multi-agent reasoningPriority email supportAPI Server includedENTERPRISE — $9,999/месяцUnlimited API callsUnlimited usersFull ASI capabilities (World Model, RL, Self-Modifying Code)Production GPU infrastructureQuantum-safe securityOn-premises deployment опция24/7 dedicated supportCustom integrationsSLA 99.9% uptimeENTERPRISE ULTIMATE — Custom PricingSelf-hosted полностьюCustom AI models (llama.cpp integration)Cybersecurity SuiteDistributed Training (Multi-GPU)White-label опцияCustom feature developmentDedicated engineering team
🔧 Technical SpecificationsSystem RequirementsMinimum (STARTER/PROFESSIONAL):CPU: 8 cores, 16 threadsRAM: 32 GBStorage: 100 GB SSDNetwork: 100 MbpsRecommended (ENTERPRISE):CPU: 32 cores, 64 threads (AMD EPYC/Intel Xeon)RAM: 256 GB ECCGPU: NVIDIA A100 80GB (x1-4)Storage: 2 TB NVMe SSDNetwork: 10 GbpsUltimate (ENTERPRISE ULTIMATE):CPU: 128+ coresRAM: 1 TB+GPU: NVIDIA H100 (x8)Storage: 10 TB NVMe RAIDNetwork: 100 Gbps InfiniBand
📊 Performance MetricsVoice-to-Voice Latency: <2 seconds (end-to-end) Reasoning Speed: 50-100 tokens/second Vector Search QPS: 10,000+ queries/second (HNSW) GPU Throughput: 2,000 tokens/second (A100) API Response Time: p95 < 100ms, p99 < 250ms Uptime: 99.95% (ENTERPRISE), 99.99% (ULTIMATE)
🛡️ Security & ComplianceEncryption: AES-256-GCM at rest, TLS 1.3 in transit Authentication: JWT (HMAC-SHA256) + API keys Post-Quantum Ready: ML-KEM-768, ML-DSA-65 GDPR: Full compliance, data deletion on requestSOC 2 Type II: In progress (Q2 2026)FIPS 140-3: Cryptographic module certified ISO 27001: Information security management🚀 Deployment OptionsSaaS (Cloud): Managed infrastructure, automatic updatesPrivate Cloud: Dedicated VPC на AWS/Azure/GCPHybrid: API endpoints + on-premises reasoning engineOn-Premises: Full self-hosted, air-gapped
🏆 Why Choose Quao Sinitra?
✅ Most Advanced Reasoning: O3-level performance с 9 reasoning modes

✅ Production-Ready: 3+ years battle-tested в enterprise

✅ Fully Modular: Используй только то, что нужно

✅ Quantum-Safe: Единственная ASI с post-quantum crypto

✅ Self-Improving: Heuristic evolution + meta-learning

✅ Open Architecture: REST API, webhooks, custom integrations

✅ World-Class Support: Dedicated engineering team