SaaS Development Services

More than the application itself, which is the part most estimates underprice. A production SaaS needs tenant isolation, authentication and roles, a billing and subscription lifecycle, onboarding, usage metering, an admin surface for your own team, and the observability to know when a single customer is having a bad time. The feature set customers see is often the smaller half of the work. We scope those foundations explicitly at the start rather than discovering them in month four, because retrofitting tenancy or billing into a product that assumed a single customer is one of the more expensive rewrites there is.

The choice is between a shared schema with a tenant identifier on every row, a schema per tenant, or a database per tenant, and it is driven by your isolation and compliance requirements rather than by elegance. Shared schema scales most cheaply and is right for most products. Separate databases suit enterprise buyers who contractually require isolation, at a real operational cost per tenant. Whichever we choose, tenant scoping is enforced at the data access layer rather than left to individual queries, because a single query that forgets its tenant filter is how one customer sees another customer’s data.

Usually through Stripe or a comparable provider rather than building billing yourself, because proration, tax, dunning, failed payments and plan changes are far more intricate than they first appear. The work is in the integration: keeping your entitlements in step with the provider’s subscription state, handling webhooks idempotently so a repeated event cannot double charge or double provision, and making sure a failed payment degrades access predictably instead of locking someone out mid task. We also make plan and pricing changes data driven, since a pricing model hardcoded into application logic becomes an engineering ticket every time commercial terms change.

Yes, and the two phases deserve different engineering. An MVP should be built to be discarded in places, because its job is to answer a commercial question quickly. Scaling then means hardening what proved useful: adding real observability, fixing the queries that were fine at a thousand rows, introducing background processing, and paying down the shortcuts that were deliberate at the time. We try to be explicit about which shortcuts are intentional and which are debt, so the transition is a planned piece of work rather than a gradual realisation that the product cannot take more customers.

Our delivery process maps to SOC 2 controls, and we can co-author the evidence for ISO 27001, HIPAA and PCI engagements rather than leaving your team to reverse engineer what was built. Practically that means access control and audit logging designed in rather than added under deadline, secrets kept out of the repository, encryption in transit and at rest by default, and dependency vulnerability scanning in CI. For SaaS specifically, tenant isolation is the control that matters most commercially: it is the first thing an enterprise buyer’s security review will probe, and the hardest to add later.