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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Design Your AI SaaS Platform
Get a practical AI SaaS architecture based on your requirements. Select components, understand multi-tenancy patterns, and receive implementation guidance.
A production AI SaaS architecture includes: authentication & authorization, multi-tenant data isolation, AI inference layer, billing & usage tracking, admin dashboard, and observability. The specific components depend on your AI features, target market, and compliance requirements.
Configure your requirements below to get a personalized estimate.
Target users, core features, and AI components.
Auth, billing, multi-tenancy, and infrastructure.
Compliance, scale, and integration needs.
Receive component diagram, tech stack, and implementation plan.
Shared DB is cheapest; dedicated schemas add cost; isolated databases are most expensive
Each AI feature needs its own inference pipeline, monitoring, and cost tracking
Subscription is simple; metered/usage-based billing requires usage tracking infrastructure
SOC 2 adds 20–30%; HIPAA adds 30–50% for security controls and audit logging
One AI feature, shared infrastructure
Dev Cost
$80K–$150K
Timeline
12–24 weeks
Monthly
$500–$2,000
Multiple AI features, tenant isolation
Dev Cost
$150K–$350K
Timeline
24–40 weeks
Monthly
$1,500–$5,000
Custom enterprise with compliance
Dev Cost
$300K–$600K
Timeline
36–52 weeks
Monthly
$3,000–$15,000
Monthly costs for running your SaaS.
| Cost Item | Range | Notes |
|---|---|---|
| Infrastructure | $200–$2,000/mo | Compute, database, CDN, storage |
| AI inference | $200–$5,000/mo | Per-user AI usage |
| Third-party services | $100–$1,000/mo | Auth, billing, email, analytics |
| Monitoring | $50–$500/mo | Error tracking, logging, alerting |
This planner provides a practical starting point. For a production architecture designed by experienced engineers, schedule a consultation.