SaaS products built to acquire, retain, and scale

It means every customer gets what feels like their own private copy of your product, while you run and update one system. The design decision underneath it — whether tenants share a database with a tenant key, or each gets their own — sounds academic but shapes your costs and your compliance story for years. We pick based on your realistic customer count, your data-isolation obligations, and how much per-tenant customisation you expect to sell, then build the isolation in from the first commit rather than retrofitting it.

Build the MVP — but on foundations that do not need ripping out. There is a real difference between deferring features and deferring architecture. Skipping the analytics dashboard for v1 is prudent; skipping tenant isolation, a permission model, and a billing abstraction is the decision that forces a rewrite eighteen months later. We keep the feature set ruthlessly small and the foundations honest, which is usually the opposite of how first versions get built.

Through Stripe, Paddle, or Chargebee rather than anything hand-rolled — payment handling is a solved problem and a terrible place to be original. The work that matters is what sits around it: prorating mid-cycle upgrades, handling failed payments without locking out a paying customer, metering usage accurately, and keeping entitlements in sync so a downgrade actually removes access. That plumbing is where most SaaS billing bugs live, and it is where we spend the time.

Yes — a good share of our SaaS work is inherited codebases rather than greenfield builds. We start with a read-only audit: what the architecture actually is, where the load-bearing risks sit, what the test coverage looks like, and which parts are worth keeping. You get that assessment as a document before any code changes. Rebuilding a working product from scratch is usually the expensive answer, and we will say so when it is.

We build the technical controls those reviews ask for — audit logging, encryption at rest and in transit, role-based access, data retention and deletion, backup and restore you have actually tested. We are not an auditor and cannot issue your SOC 2 report, but we make sure the questionnaire your first enterprise prospect sends does not turn into a six-month engineering project. Designing for it upfront costs very little; adding it after a deal stalls costs a great deal.

Mostly by measuring rather than guessing. Slow SaaS products are rarely slow because of the language or the framework; they are slow because of unindexed queries, N+1 lookups, and synchronous work that belongs in a queue. We instrument from day one, push heavy work to background jobs, cache what is safe to cache, and load-test against realistic data volumes rather than a seeded dev database with fifty rows in it.

Laravel on the backend, with Vue, React, or Next.js on the front end depending on what the product needs and what your team can maintain. That is a deliberately boring choice. These are mature, heavily-documented ecosystems with large hiring pools, which means you are never stuck waiting on us — you can bring the work in-house or hand it to another team without a rewrite. We would rather your product be easy to inherit than technically fashionable.