SofStack is a SaaS AI MVP development company for businesses launching new AI software products, and for software companies adding AI to an existing platform.
An AI SaaS product needs more than a model. It needs accounts, teams, permissions, billing, usage limits and a cost model that stays profitable as customers grow. We build AI SaaS MVPs that are ready to onboard paying customers.
Who We Build AI SaaS For
Established businesses turning internal expertise into a software product
Software companies launching an AI product line or AI tier
Enterprises building internal platforms used by many teams or subsidiaries
Funded product companies that need a launch-ready AI platform
Agencies and consultancies productising a repeatable service
SaaS Foundations Included in the MVP
Capability | What it covers |
Multi-tenancy | Isolated data per customer organisation |
Accounts and teams | Sign-up, invitations, roles and permissions |
Authentication | Email, social login and enterprise SSO |
Billing | Subscription plans, trials and usage-based pricing through Stripe |
Usage limits | Quotas per plan for AI requests, documents or seats |
Admin console | Customer management, support tools and feature flags |
Analytics | Product usage, activation and retention tracking |
The AI Layer
AI features built for your product: assistants, generation, extraction, search or agents
Tenant-aware retrieval so each customer only sees their own data
Model routing to balance quality and cost per plan
Prompt and model versioning for safe updates
AI quality monitoring across customers and features
AI Unit Economics From Day One
AI running costs can erase SaaS margins if they are not designed in. We track and control them from the MVP.
Cost per customer and per feature in a live dashboard
Plan limits aligned with your pricing tiers
Caching and smaller models for high-volume, simple tasks
Margin modelling during discovery so pricing covers AI costs
Ready for Enterprise Customers
SAML and OIDC single sign-on for business buyers
Audit logs of user and admin actions
Data export and deletion controls for customers
Regional hosting options for data residency
Security documentation for your customers' vendor reviews
How We Build Your AI SaaS MVP
1. Product discovery: target customers, core AI feature, pricing model and success metrics.
2. Architecture: tenancy model, AI pipeline, billing and hosting design.
3. Core build: SaaS foundations and the main AI feature in two-week sprints.
4. Beta release: first customers onboarded with usage and feedback tracking.
5. Launch and iterate: public launch, then roadmap delivery with a dedicated team.
SaaS AI MVP Pricing
Engagement | Starting price | Timeline |
Discovery | From $2,500 | 2 weeks |
Proof of Concept | From $5,000 | 3–4 weeks |
SaaS AI MVP | From $18,000 | 10–14 weeks |
Dedicated AI Team | From $6,000/month | Monthly |
Pricing depends on the AI features, integrations and enterprise requirements included.
Frequently Asked Questions
What does a SaaS AI MVP include?
Multi-tenant architecture, accounts and roles, billing, usage limits, an admin console, analytics and your core AI features, ready for paying customers.
Can you add AI to our existing SaaS product?
Yes. We integrate AI features into your existing platform, with tenant-aware data access and cost controls.
How do you keep AI costs below subscription revenue?
We model costs per plan during discovery, then build plan limits, model routing, caching and cost dashboards into the product.
Which billing systems do you support?
We usually build on Stripe for subscriptions and usage billing, and can integrate other providers where needed.
How long does an AI SaaS MVP take?
Most AI SaaS MVPs take 10 to 14 weeks from discovery to beta launch.
Launch Your AI SaaS Product
Tell us about your product idea and target customers. We will propose an architecture, a launch plan and a fixed quote.