Back to Case Studies
AI Chat

Enterprise Multi-Model AI Chat Platform with Credit-Based Billing

An organization needed a unified platform for teams to access multiple AI models (GPT, Claude, Gemini, Grok, Perplexity) with enterprise-grade security, usage tracking, and cost management.

Discuss Your Project
Enterprise Multi-Model AI Chat Platform with Credit-Based Billing
AI Chat
Domain
20
Technologies
4
Key Results
Delivered
Status

The Challenge

Teams were using multiple AI tools with no centralization or cost control:

  • Each team member had separate subscriptions to different AI providers
  • No unified conversation history or knowledge sharing across the organization
  • No visibility into AI usage costs or per-user consumption
  • Enterprise security and GDPR compliance requirements couldn't be met with consumer tools
  • Comparing model outputs required switching between multiple interfaces

Our Solution

We built a production-grade multi-model AI chat platform with credit-based billing, role-based access control, and GDPR compliance.

Architecture

  • Frontend: React 18 + TypeScript + Vite with Tailwind CSS
  • Backend: Node.js/Express with TypeScript and Prisma ORM
  • Database: PostgreSQL (60+ tables) with Redis caching
  • Auth: AWS Cognito with JWT-based RBAC
  • Billing: LemonSqueezy with credit-based consumption tracking
  • Queue: BullMQ for background job processing
  • Infrastructure: AWS (ECS/Fargate, RDS, ElastiCache, S3, KMS, SES)

AI Integrations

  • OpenAI GPT models
  • Anthropic Claude models
  • Google Gemini models
  • xAI Grok models
  • Perplexity for web search
  • Suno for AI music generation

Key Features

  1. Multi-Model Chat - Switch between AI providers per conversation
  2. Split-Screen Comparison - Side-by-side model output comparison
  3. Workflow Automation - LangGraph-powered step-by-step AI workflows
  4. GPT Marketplace - Discover, create, and share custom GPTs
  5. Artifacts - Sandboxed code/HTML preview within conversations
  6. Credit System - Pay-per-use with automatic refills and admin grants
  7. GDPR Compliance - Automated deletion, data export, AES-256-GCM encryption
  8. Content Moderation - Flagging system with auto-triage for inappropriate content
  9. Group Chat - Multiple AI participants in a single conversation
  10. Web Search - Perplexity integration for grounded, up-to-date responses

Results

Cost Visibility: Per-user token usage and cost tracking
Security: AES-256-GCM encryption at rest, AWS KMS key rotation, full audit trail
Compliance: GDPR-compliant with automated erasure and data export
Team Productivity: Unified AI access with shared prompts and workflows

Technology Stack

ReactTypeScriptViteNode.jsExpressPrismaPostgreSQLRedisBullMQAWS CognitoAWS ECS/FargateLemonSqueezyOpenAIAnthropicGoogle GeminixAIPerplexitySunoLangChainLangGraph

Have a Similar Project in Mind?

Let's discuss how we can build a solution tailored to your needs.

Contact UsSchedule Appointment