SaaS engineering
built for growth,
not just launch

Shared-schema (row-level security) is the right call at the start - it's simpler to build, easier to migrate, and perfectly adequate up to a few thousand tenants with proper indexing. Schema-per-tenant gives you better isolation and makes it easier to offer custom database-level features to enterprise customers, but it adds operational complexity and migration cost. We help you start with shared-schema and design the migration path to schema isolation so when you cross the threshold that makes it worthwhile, you're not starting from scratch.

For a well-scoped B2B SaaS MVP with core features, self-serve signup, and Stripe billing integrated, 8–10 weeks is realistic. That's not a minimum viable PowerPoint - it's a production-ready platform with proper multi-tenancy, working billing, and the instrumentation to measure activation. The founders who take shortcuts on the data model and billing integration at this stage typically spend 6–12 months fixing it later.

If your product's value scales with usage in a way customers feel intuitively, yes - and it's much harder to add later than people expect. Retrofitting usage-based billing into a platform built for flat subscription billing requires changes to the data model, the billing integration, and usually the product itself. We build usage metering infrastructure as a first-class concern early, even if you don't activate it immediately. The cost at build time is low; the cost of adding it at 2,000 customers is high.

The specific features that consistently unblock enterprise deals are: SSO with SAML/OIDC, SCIM provisioning so IT can manage user lifecycle from their IdP, audit logs that compliance teams can export, data residency commitments (usually just a contractual and infrastructure matter), and a security questionnaire you can answer honestly. We build all of these as part of the platform rather than as bespoke work for individual enterprise deals - which means you can quote them as standard rather than negotiating scope on each contract.

We build the infrastructure for both and let the product and go-to-market team decide. Self-serve and sales-assisted aren't mutually exclusive - most successful B2B SaaS companies use PLG to generate top-of-funnel and then convert high-value accounts with a sales touch. The engineering question is whether your product makes it easy to start without a sales call and easy to see value quickly. We focus on activation rate as the metric that connects both motions.

Yes - and honestly that's the majority of our SaaS work. The typical engagement starts with a technical audit of the existing system: we document the data model, map the billing logic, identify the performance bottlenecks, and give you a clear picture of what needs replacing versus what can be improved incrementally. Most platforms don't need a full rewrite - they need specific architectural problems fixed in a sequence that doesn't require taking everything offline.