Scale Your SaaS Product with AI-Native Architecture

A focused SaaS MVP — core product loop, user authentication, multi-tenancy, and billing — typically takes ten to sixteen weeks with a team of three to four engineers. That timeline assumes a clear product spec going into development; if you need discovery and design work, add four to six weeks. We ship incrementally, so you'll have working software in staging within the first four weeks and can begin beta testing before the full MVP is complete. Timeline compresses significantly if you come in with wireframes and a defined feature set.

A typical SaaS MVP engagement runs $60,000–$120,000 as a fixed-scope project, or $18,000–$35,000 per month on a dedicated team model. The dedicated team model is more common for SaaS because product requirements evolve during development and a fixed scope tends to generate change orders. Team composition for a SaaS build is usually two to three backend engineers, one frontend engineer, and a QA engineer. Ongoing post-launch retainers for feature development typically run $10,000–$20,000 per month for a smaller team.

Multi-tenancy architecture is one of the first decisions we make in every SaaS engagement. We evaluate three common patterns — shared database with tenant discriminator columns, schema-per-tenant, and database-per-tenant — based on your compliance requirements, expected tenant count, and query patterns. For most B2B SaaS products, a well-indexed shared database with row-level tenant isolation and strict ORM-layer enforcement is the right starting point. For products with strict data residency or compliance requirements (healthcare, fintech), we often go schema-per-tenant or database-per-tenant. We document the tradeoffs and make the recommendation transparent before building.

Yes — third-party integrations are a standard part of most SaaS builds. Common patterns we implement include OAuth-based connections to platforms like Slack, Google Workspace, Salesforce, and HubSpot; webhook receivers for inbound data from customer tools; and outbound event publishing so customer systems can subscribe to activity in your product. We build integrations with a credential vault, per-tenant configuration, and connection health monitoring so your customers can manage their own integrations without contacting support. If you have a specific integration list, share it early — some integrations have significant scope of their own.

Our default SaaS stack is Node.js or Python on the backend (depending on the domain and team preference), React or Next.js on the frontend, PostgreSQL as the primary database, and AWS or GCP for infrastructure. We use Stripe for billing, Auth0 or Supabase for authentication, and Datadog or Grafana for observability. That said, we adapt to your existing stack if you have one — we've built SaaS products on Rails, Django, Laravel, and .NET as well. The stack recommendation comes after understanding your team's existing skills, your scaling requirements, and whether any compliance constraints rule out particular vendors.