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SynapseXβ„’ - Enterprise LLM Platform

SynapseXβ„’ is Softquantus's enterprise-grade Large Language Model platform, providing multi-tenant LLM services with quantum-enhanced response selection.

What is SynapseX?​

SynapseX is a comprehensive AI platform that:

  • Multi-Tenant Architecture - Isolated environments for B2B customers
  • Quantum Reranking - QAOA-powered response optimization
  • Custom Fine-tuning - LoRA, SFT, and DPO training per tenant
  • OpenAI-Compatible - Drop-in replacement for existing integrations
  • QCOS Integration - Seamless quantum computing capabilities

Key Features​

πŸ€– Multi-Tenant LLM API​

Enterprise-ready API with complete tenant isolation:

  • Per-tenant API keys and rate limits
  • Custom model configurations
  • Data isolation and privacy
  • Usage analytics and billing

βš›οΈ Quantum Reranking​

Our proprietary QAOA-based reranker improves response quality:

TierMethodLatencyQuality Improvement
ClassicHeuristic~5msBaseline
Quantum CPUQCOS API~50ms+15%
Quantum GPULUMI HPC~100ms+25%

πŸŽ“ Continuous Training​

Fine-tune models per tenant:

  • SFT (Supervised Fine-Tuning) - Train on customer data
  • DPO (Direct Preference Optimization) - Align with user preferences
  • LoRA Adapters - Lightweight tenant-specific customizations
  • Feedback Loop - Automatic retraining from user feedback

πŸ”€ Intelligent Proxy​

Gateway for external LLMs with quantum enhancement:

  • Proxy to OpenAI, FlexAI, or any compatible API
  • Automatic multi-response generation
  • Quantum reranking selection
  • Zero data persistence option

Architecture​

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ SYNAPSEX PLATFORM β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ β”‚
β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ Clients β”‚ β”‚
β”‚ β”‚ (LobeChat) β”‚ β”‚
β”‚ β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚ β”‚ β”‚
β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ β”‚ β”‚ β”‚
β”‚ β–Ό β–Ό β–Ό β”‚
β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ SynapseX β”‚ β”‚ SynapseX β”‚ β”‚ QCOS API β”‚ β”‚
β”‚ β”‚ Proxy β”‚ β”‚ API β”‚ β”‚ (Quantum) β”‚ β”‚
β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚
β”‚ β”‚ OpenAI-compatβ”‚ β”‚ Multi-tenant β”‚ β”‚ QAOA Rerank β”‚ β”‚
β”‚ β”‚ + QRerank β”‚ β”‚ Full-stack β”‚ β”‚ Optimization β”‚ β”‚
β”‚ β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚ β”‚ β”‚ β”‚
β”‚ β”‚ β–Ό β”‚
β”‚ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ β”‚ SynapseX β”‚ β”‚
β”‚ β”‚ β”‚ Gen β”‚ β”‚
β”‚ β”‚ β”‚ β”‚ β”‚
β”‚ β”‚ β”‚ Inference + β”‚ β”‚
β”‚ β”‚ β”‚ Training β”‚ β”‚
β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚ β”‚ β”‚ β”‚
β”‚ β–Ό β–Ό β”‚
β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ FlexAI β”‚ β”‚ LUMI HPC β”‚ β”‚
β”‚ β”‚ OpenAI β”‚ β”‚ (8x MI250X) β”‚ β”‚
β”‚ β”‚ (Upstream) β”‚ β”‚ 512GB VRAM β”‚ β”‚
β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Components​

SynapseX API​

Full-featured multi-tenant API:

  • Chat completions with quantum reranking
  • Tenant management (CRUD)
  • Feedback collection for training
  • Document ingestion (RAG)
  • Training job management
  • Trial system for self-service onboarding

SynapseX Proxy​

Lightweight gateway for existing LLM users:

  • OpenAI-compatible endpoint
  • Multi-response generation (K=4 default)
  • Quantum reranking selection
  • Zero state, edge-deployable

SynapseX Gen​

ML engine for inference and training:

  • Hybrid inference (base model + LoRA)
  • LUMI HPC integration (8x AMD MI250X)
  • DeepSpeed ZeRO-3 distributed training
  • PennyLane quantum circuits

Use Cases​

Enterprise Chat Assistants​

Deploy custom AI assistants for:

  • Customer support automation
  • Internal knowledge bases
  • Domain-specific Q&A

Healthcare & Pharma​

Specialized models for:

  • Medical literature analysis
  • Drug interaction queries
  • Clinical documentation

Financial Services​

Secure, compliant AI for:

  • Document analysis
  • Risk assessment
  • Regulatory compliance

E-Commerce​

Personalized experiences:

  • Product recommendations
  • Customer inquiries
  • Content generation

Getting Started​

  1. Create an Account - Sign up at synapsex.ai
  2. Get Your API Key - Generate credentials
  3. Make Your First Call - OpenAI-compatible API
  4. Enable Quantum Reranking - Enhance response quality

Next Steps​