Single-tenant or multi-tenant — which should I choose?

Multi-tenant (shared infrastructure, isolated data per customer) is right for almost every SaaS start because it keeps unit costs low and operations simple. We design tenancy at the data layer from day one, because retrofitting it later is one of the most expensive migrations in software.

Which stack do you build SaaS products on?

React or Next.js on the front; Node.js or Python/FastAPI services; PostgreSQL and Redis at the data layer; Docker, Kubernetes, Terraform and GitHub Actions underneath, on AWS, Azure, Oracle Cloud or Google Cloud.

You do. Everything we build lives in your repositories and your cloud accounts from the first week. There is no lock-in by design.

Services · SaaS

SaaS platforms built to survive growth.

Q: How long does it take to launch a SaaS MVP?

Our MVP Sprint delivers a fundable, deployable product in 4–6 weeks: core workflow, authentication, tenancy, billing hooks and a production deployment pipeline. Scope is cut ruthlessly to the one workflow that proves the business.

Q: Do you handle payments and subscriptions?

Yes — plan management, metering, trials, invoicing and dunning, integrated with the payment providers that fit your market, and engineered so pricing changes don't require re-architecture.

The hard part of SaaS isn't the first demo — it's the two-hundredth customer: tenancy, billing edge cases, migrations, uptime. Mokshify engineers multi-tenant, cloud-native platforms where those problems are solved in the architecture, not discovered in production.

What a Mokshify SaaS build includes

Multi-tenant architecture — tenant isolation designed at the data layer (PostgreSQL row-level patterns or schema-per-tenant where it's justified), so one customer's growth never becomes another's outage.
Authentication and roles — organisations, invitations, role-based permissions and audit trails; SSO when enterprise buyers arrive.
Billing that matches your pricing — plans, seats, metering, trials and dunning, built so the pricing page can change without an engineering quarter.
An admin plane — support tooling, feature flags and usage visibility from day one, because operating a SaaS is a product too.
A deployment pipeline — every merge runs tests and an AI review, then ships through staged rollouts.

From first customer to first thousand

We stage SaaS engineering the same way capital gets raised:

MVP Sprint (4–6 weeks) — one core workflow, real authentication and tenancy, production deployment. Fundable and sellable, not a prototype. Read how the pipeline runs.
Product Engineering (3–6 months) — the roadmap after validation: onboarding, billing depth, integrations, performance, the second and third workflow.
Dedicated Team (ongoing) — embedded engineers as the product compounds, with the same review and release discipline.

The data layer is the product

Most SaaS failures we've been asked to rescue trace to the same root: a schema designed for the demo. We treat PostgreSQL design — tenancy, indexing, migrations, query budgets — as a first-class product artifact, with Redis for the hot paths. It's the least glamorous work we do and the most valuable.

Proof, not promises

FinCalix serves 30+ financial calculators to the public, free and fast. Medico Diagnostics publishes 3,291+ diagnostic tests with 4–6 hour reporting — an operations platform where downtime has real-world consequences. Both are live; both run on the platform architecture described on this page.

Common questions

How long does it take to launch a SaaS MVP?

4–6 weeks through the MVP Sprint: core workflow, auth, tenancy, billing hooks and a production pipeline. Scope is cut to the one workflow that proves the business.

Single-tenant or multi-tenant?

Multi-tenant for almost every start — lower unit cost, simpler operations. We design tenant isolation at the data layer on day one because retrofitting it is among the most expensive migrations in software.

Which stack do you use?

React/Next.js, Node.js or Python/FastAPI, PostgreSQL + Redis, Docker/Kubernetes/Terraform/GitHub Actions on AWS, Azure, Oracle Cloud or Google Cloud. See Cloud Engineering.

Do you handle payments and subscriptions?

Yes — plans, seats, metering, trials, invoicing, dunning; integrated with providers that fit your market and engineered so pricing changes stay a configuration problem.

Who owns the code?

You do — your repositories, your cloud accounts, from week one. No lock-in by design.

Building a SaaS product?

Tell us the workflow you're productising and who pays for it. We'll reply within 24 hours with a scope suggestion for a 4–6 week first release.

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