AI SaaS Development

From Zero to Revenue-Ready AI SaaS.We Build the Platform. You Build the Business.

From concept to launch. We help founders and product teams design, build, and scale AI-powered SaaS platforms with multi-tenant architecture, LLM integration, and production AI systems.

Timeline

A realistic timeline for taking an AI SaaS product from concept to launch.

Phase 1

1. Discovery

1-2 weeks

Activities

  • • Market analysis and AI opportunity mapping
  • • Technical feasibility assessment
  • • MVP scope definition
  • • Architecture planning

Key Deliverable

Product requirements document + technical architecture

Phase 2

2. MVP Build

8-12 weeks

Activities

  • • Core feature development
  • • Multi-tenant infrastructure setup
  • • LLM/agent integration
  • • CI/CD pipeline deployment

Key Deliverable

Working MVP with core AI features

Phase 3

3. Launch

2-4 weeks

Activities

  • • Performance optimization
  • • Security audit
  • • Beta user program
  • • Production deployment

Key Deliverable

Production-ready platform with monitoring

Phase 4

4. Scale

Ongoing

Activities

  • • Feature expansion based on user data
  • • Infrastructure scaling
  • • AI model optimization
  • • Team augmentation if needed

Key Deliverable

Scalable platform with growing user base

Cost Analysis

Understanding the cost drivers for an AI SaaS platform helps you budget accurately and avoid surprises.

Cost FactorEstimateImpact
LLM API Costs$500-$5,000/month at launchHigh — optimize prompt design and caching
Vector DB Infrastructure$200-$2,000/monthMedium — choose based on scale requirements
Cloud Infrastructure$500-$5,000/monthMedium — start simple, scale as needed
Development Investment$50K-$200K for MVPHigh — scope management is critical

SaaS Platforms We Built

Curo Healthcare CRM

Multi-tenant SaaS platform with appointment scheduling, billing, and loyalty programs

60% reduction in no-shows →

StyleDirect E-Commerce

Scalable e-commerce platform handling 10x traffic spikes

25% conversion improvement →

Talk to an AI Product Engineering Team

Share your product goals and constraints, and we will map the fastest path to a production-ready AI solution. Get clear technical guidance, delivery scope, and practical next steps from our team.

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