Interactive Cost Dashboard
Explore how operational costs evolve with platform usage. Drag the slider to simulate different monthly minute volumes.
Selected Minutes/Month
100,000
Estimated Monthly Cost
$22.1k-$24.6k
Cost per Minute
$0.22-$0.25
Sustainable Capacity
907k
minutes/month
Detailed Cost Breakdown
Understand the core components of the monthly operational costs, from fixed infrastructure to variable AI services.
Fixed Infrastructure Costs
The monthly cost for maintaining separate Production, Staging (UAT), and Development environments. Total fixed infrastructure cost is $800/month.
Variable AI Costs per Minute
This shows how the total variable cost of $0.0277 per minute is divided among the core AI services. Hover over a section for details.
Development & 24/7 Support Team
A blended team is required to handle core development, platform maintenance, and round-the-clock enterprise client support. This represents the largest fixed operational cost.
$18k-$21k
Estimated Monthly Team Cost
$12k-$15k
Minimum Sustainable Cost
Detailed Report Data
The granular cost data from the original report, presented in tabular format for detailed analysis.
Production Environment Costs (Total: $490/month)
| Component | Specification | Purpose | Monthly Cost |
|---|---|---|---|
| Application Hosting | 2x 8GB VM, 4 vCPU, 100GB SSD | Oyos frontend & mobile backend | $60 |
| Voice AI Agent Services | 2x 16GB RAM, 4 vCPU, 100GB SSD | LiveKit voice processing | $100 |
| System Management | 2x 16GB RAM, 4 vCPU, 100GB SSD | Monitoring, logging, deployment | $100 |
| CDN & Security | Cloudflare Pro | CDN, DDoS protection, WAF, SSL | $25 |
| Database | Supabase Pro | Primary database with backup | $25 |
| Vector Database | Qdrant Cloud | AI embeddings and search | $30 |
| Redis Cache | Redis Cloud | Real-time session state, caching | $30 |
| DevOps & Monitoring | AI LLM Ops | Model deployment monitoring | $20 |
| AI Safety | GuardRails Pro | Content moderation | $30 |
| LiveKit Cloud | Standard Plan | Enhanced video/audio features | $50 |
| Open Source Monitoring | Self-hosted ELK/Prometheus | Logs, metrics, alerting | $20 |
UAT/Staging & Development Environment Costs
UAT/Staging (Total: $205/month)
| Component | Cost |
|---|---|
| Application Hosting | $35 |
| Voice AI Agent Services | $45 |
| System Management | $45 |
| Database (Shared) | $15 |
| Vector DB (Basic) | $15 |
| Redis Cache (Basic) | $15 |
| LiveKit Cloud (Basic) | $25 |
| Other Services | $10 |
Development (Total: $105/month)
| Component | Cost |
|---|---|
| Application Hosting | $20 |
| Voice AI Agent Services | $35 |
| System Management | $35 |
| Other Services | $15 |
| Database, Vector DB, Cache, LiveKit | $0 (Free Tiers) |
Variable AI Service Costs (Total: $0.0277/minute)
| Service | Rate Structure | Notes | Cost Per Minute |
|---|---|---|---|
| Speech-to-Text | $1.00/hour | Continuous transcription | $0.0167 |
| Text-to-Speech | $10/1M characters | 150 words @ 5 chars/word | $0.0075 |
| Language Models | $4/1M tokens (avg) | Input + output + context | $0.0015 |
| AI Analytics | $0.01/1K tokens | Usage tracking and insights | $0.0020 |
6-Month Growth & Cost Projections
This forecast illustrates the powerful effect of economies of scale. As the user base grows, the total monthly cost rises, but the crucial cost-per-minute metric drops significantly.
Platform Readiness & Strategy
Key details on the platform's architecture, scaling strategy, risks, and recommendations for the client acquisition phase.
- Phase 1 (0-600k min/month): Current infrastructure is sufficient. Cost per minute decreases from ~$0.44 to ~$0.08 without new investment.
- Phase 2 (600k-1.3M min/month): Add 1 LiveKit server (+$50/mo). Infrastructure cost becomes $850/mo. Capacity increases to ~1.36M min/month.
- Phase 3 (1.3M+ min/month): Add 2 more LiveKit servers (+$100/mo). Infrastructure cost becomes $950/mo. Capacity increases to ~2.72M min/month.
Technical Risks
- Capacity Limits: Mitigated by clear scaling triggers and automated monitoring.
- AI Cost Spikes: Mitigated by multi-provider agreements and close usage monitoring.
Operational Risks
- Support Gaps: Mitigated by overlapping shifts and clear escalation paths.
- Onboarding Bottlenecks: Mitigated by a dedicated team and automated deployment scripts.
Financial Risks
- Low Utilization: Mitigated by conservative planning and flexible, pay-as-you-go infra.
- High AI Costs: Mitigated by continuous monitoring and cost-optimization strategies.
- Immediate (Month 1-2): Begin client acquisition, implement detailed usage analytics, and establish client success metrics.
- Short-term (Month 3-4): Monitor actual vs. projected usage, optimize AI model selection based on real patterns, and prepare scaling automation.
- Medium-term (Month 5-6): Scale infrastructure as needed, negotiate volume discounts with AI providers, and implement predictive scaling.