Enterprise Multi-Tenant Platform Build-Out
UpworkSENot specifiedintermediateScore: 74
AI BotAI ChatbotAI DevelopmentAI Text-to-SpeechAI Text-to-ImageAI Speech-to-TextAI App DevelopmentAI Agent DevelopmentAI Mobile App DevelopmentAI Image GenerationAI ImplementationAI PlatformAI Model IntegrationAI SecurityAI Trading
Milestone 1 — Architecture Setup & Backend Foundation
Azure Sweden Central infrastructure setup
Azure PostgreSQL with pgvector enabled
Redis + Blob Storage setup
Dockerized backend deployment
New multi-tenant database schema (professionally designed)
Strict row-level security implementation
tenant_id enforcement at API layer
Clean modular Python backend architecture
JWT / secure cookie authentication
Shared auth between landingpage and app
Async job queue setup (Celery or RQ)
Logging + monitoring (Application Insights)
Outcome:
Production-ready backend foundation with verified tenant isolation.
✅ Milestone 2 — Production-Grade RAG & Memory System
Document parsing (self-hosted Unstructured or Marker)
Optimized chunking strategy
Embedding storage per tenant namespace
Retrieval of 5–12 ranked chunks
Re-ranking layer implementation
Multi-query expansion for large documents
Strict answer grounding in retrieved context
Short-term memory (dynamic 12k–20k token window)
Auto-summarization at threshold
Hybrid long-term memory with semantic scoring
Selective memory retrieval (not full injection)
Brave Search API integration (zero retention)
Agent-based web search decision logic
Outcome:
Enterprise-grade RAG system with stable memory architecture.
✅ Milestone 3 — Chat UI & Admin Control Tower
Claude-style minimal chat interface
Wide chat layout + subtle typography
Smooth streaming responses
Fully responsive design
Usage meter + tenant badge
Secure admin control tower (separate route)
Tenant management interface
Document management dashboard
Memory visibility controls
Audit logs access
Seamless login flow (landingpage → app.)
Outcome:
Fully functional multi-tenant AI assistant with clean UI and admin control.
✅ Milestone 4 — Voice, Scalability & Production Hardening
Azure VM setup for Whisper + diarization
Cost-optimized CPU instance
Audio storage in Azure Blob
Transcription integrated into assistant flow
Horizontal autoscaling configuration
Load testing & performance optimization
Redis caching optimization
Async job scaling validation
GDPR alignment validation
Sweden-only infrastructure confirmation
Azure OpenAI regional endpoint configuration
Environment-based endpoint switching
Security review + audit validation
Outcome:
Enterprise-ready, scalable, Sweden-compliant AI platform prepared for 500+ tenants.
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Spent: $16,899.94Rating: 4.5Verified