SaaS Product Development. From MVP to Multi-Tenant.

Single-tenant SaaS gives each customer their own dedicated infrastructure — their own database, servers, and application instance. Multi-tenant SaaS serves all customers from shared infrastructure, with data isolation enforced at the application or database level. Single-tenant is simpler to build but exponentially more expensive to operate at scale. Multi-tenant SaaS is the commercial standard because it allows you to spread infrastructure costs across all customers, deliver product updates once rather than N times, and maintain a single operational surface. The challenge is getting the isolation strategy right — which is where architecture decisions made early have long-term consequences.

A focused MVP with core subscription mechanics, a single user role, and basic tenant management typically takes 12–16 weeks from discovery to first customers. A mid-market SaaS platform with multiple pricing tiers, admin portals, SSO integration, and enterprise configuration usually runs 6–9 months. Full-featured SaaS platforms with usage-based billing, advanced RBAC, API access, and integrations marketplace take 12–18 months for the initial release, followed by continuous iteration. We produce a detailed delivery plan after the discovery phase, with milestone checkpoints throughout.

Yes — SaaS migration is one of our core specialisations. The process involves a feature-by-feature parity audit, data migration pipeline design, multi-tenant re-architecture of the core application, and a phased migration plan that moves customers in waves rather than all at once. We design migration paths that keep your existing on-prem customers live throughout the transition, with no forced cutover. Depending on the complexity of your existing system, migrations typically take 6–12 months for the first wave of customers to land on the cloud platform.

We design tenant isolation at the most appropriate layer for your risk profile. Row-level security (RLS) in PostgreSQL enforces isolation at the database query level — every query is filtered by tenant ID. Schema-per-tenant physically separates each customer's data into their own database schema, preventing cross-tenant queries entirely. Silo architecture gives each enterprise customer their own database instance, meeting the strictest compliance requirements. We recommend the right model based on your customer mix, compliance requirements (SOC 2, HIPAA, GDPR), and infrastructure cost tolerance.

We have production experience with Stripe Billing, Chargebee, Paddle, and Recurly — as well as custom billing engines for SaaS businesses with pricing too complex for off-the-shelf platforms. For most SaaS products, Stripe or Chargebee covers the full subscription lifecycle: trial management, seat-based and usage-based pricing, upgrade/downgrade proration, dunning, tax handling, and revenue recognition. We integrate billing deep into the application layer — not as a bolt-on — so pricing changes don't require code deploys.

Performance at scale is an architecture decision made early, not a fix applied later. We design SaaS platforms with horizontal scaling in mind from the first sprint: stateless application servers behind load balancers, read replicas for database-heavy query patterns, Redis caching for session data and frequently read tenant configuration, CDN for static assets and edge-cached API responses, and Kubernetes autoscaling for handling traffic spikes. We define performance benchmarks during the design phase — typically sub-200ms API response at 95th percentile — and validate against them with load testing at realistic tenant counts before every major release.