Product & tenancy model
We define orgs, data isolation, and how AI usage is attributed per customer.
What We Deliver
- Multi-tenant AI product architecture
- Per-seat and usage-based billing
- Feature flags and plan entitlements
- Model routing and cost budgets
- Admin analytics for AI usage
- Onboarding flows for AI features
Our Process
Core AI features
Copilots, generators, or agents that deliver the product’s core value.
Metering & billing
Stripe/Razorpay plans tied to tokens, seats, or feature packs.
Scale
Caching, rate limits, and observability as paying customers arrive.
Technologies
- Next.js
- Node.js
- OpenAI
- PostgreSQL
- Stripe
- Razorpay
- Redis
- Vercel
Outcomes You Can Expect
- An AI product ready for multiple customers
- Billing aligned with AI usage
- Cost controls before margins erode
- Admin visibility into feature adoption
Why Choose Intellixy
- Experienced engineering team with startup and enterprise delivery
- Agile sprints with transparent progress and staging access
- Clear scope, milestones, and pricing before development starts
- Post-launch support, monitoring, and feature iterations
Industries We Serve
HealthcareE-commerceEducationLogisticsStartups
Frequently Asked Questions
How is AI SaaS different from regular SaaS?
AI SaaS adds variable model costs, latency, and quality variability. You need metering, quotas, and evaluation — not only classic multi-tenant auth.
How long to build an AI SaaS MVP?
A focused multi-tenant AI MVP typically takes 10–16 weeks depending on billing complexity and AI feature depth.
Can you add AI to our existing SaaS?
Yes. We integrate copilots, RAG, or generators into your current stack with usage limits and plan gates.
Related Services
Ready to start your project?
Tell us about your AI SaaS development goals. We respond within 24 hours on business days with a tailored plan.