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PRS India

Multi-tenant · Subscriptions · Metering

SaaS Product Development

A SaaS product is a business model in software. We do multi-tenant SaaS product development, and we build the parts a demo hides. These are separate data for each customer, subscription billing, usage counting, user roles and self-serve sign-up. So you can grow to a hundred accounts without a hundred manual fixes.

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  • A way of keeping tenant data apart, chosen for your customers, not by default
  • Subscription billing, part-month pricing, payment reminders and usage counting that match
  • Roles and permissions that hold up when a big company buys
  • Self-serve sign-up that gets value before the trial ends
What this is

A SaaS product is a business model in software.

A SaaS product is not a web application with a login screen. It is a business model in software. The parts that decide if it lives are the ones a demo never shows. These are: how each customer's data is kept apart, how billing counts what customers really use, how a plan limit is enforced without a support ticket, and how a new customer gets value on their own before their trial ends. Most SaaS builds spend too little on these parts. We treat them as the most important parts.

We do SaaS product development for founders who want a first version they will not have to rebuild at Series A. We also work with established businesses that want to turn an internal tool or a service into a multi-tenant product. The half you can see is the application. The half that decides if you can raise money, grow and sleep well is multi-tenancy, subscription billing, roles and permissions, usage counting, and the tools to run a hundred accounts without a hundred manual fixes.

If what you need is a single-tenant internal tool, we will tell you and save you the extra work. Multi-tenancy is not free. If only one customer will ever use the system, building it is a cost with no return.

  • Multi-tenancy and billing built in from the start, not added later
  • Roles, usage counting and sign-up planned so big companies and self-serve users both fit
  • Tools to run many accounts without constant manual fixes
Scope a SaaS build
Where SaaS builds go wrong

The failures that surface at exactly the wrong moment.

None of these show up in a demo. All of them show up when you sign your tenth customer, or your first big company.

  • Tenancy bolted on afterwards

    A single-tenant app is changed in a rush to add a tenant column. One missed step and a customer sees another customer's data. A SaaS business does not survive that.

  • Billing that does not reconcile

    Upgrades with no part-month pricing, failed payments with no reminders, usage counted in a spreadsheet. Money leaks out quietly and nobody can say how much.

  • A flat user table

    No organisations, no roles, no audit trail. Then the first big buyer asks for SSO and per-team permissions, and the answer is a rewrite.

  • Onboarding that is an empty room

    The trial starts on a blank screen with no data and no way to get value. Users leave before they ever see what they paid for.

  • No operational tooling

    Every refund, plan change and "log in as the user" needs an engineer to run a query on the live system. Support cannot work and the team cannot grow.

  • No product analytics or metering

    You cannot see who starts using the product, which features they use, or where trials get stuck. So pricing and plans are guesses, not decisions.

The foundation

Multi-tenancy: the decision you cannot cheaply undo.

Multi-tenancy is cheapest to decide on day one and most costly to change later, so we decide it with care. There are three honest models. The right one depends on your customers, your rules and your size, not on fashion.

Shared schema with a tenant key is the default. Every table carries a tenant identifier, and a global rule makes it impossible to read across tenants by accident. It is the cheapest to run and the easiest to add features to, and it suits most products. Schema or database per tenant is what we use when customers demand separate data for legal reasons, when a large tenant must be moved or restored on its own, or when one busy customer slowing down others is a real risk. Many mature products end up as a mix: shared schema for the many small customers, and a separate database for the big accounts that require it in their contract. We design the wall between tenants so a bug can never leak one tenant\'s data to another, because that single failure is the one a SaaS business does not recover from.

  • Shared schema with a strict global rule for most products
  • Database or schema per tenant where rules or size need it
  • A mix: shared for small customers, separate for big ones
  • Built so a bug cannot leak data across tenants
What we build

Everything a SaaS product actually needs.

Not a list of features added to a CRUD app. These are core parts of a multi-tenant product, in every build.

Multi-tenant core

Tenant data kept apart in the data layer, with jobs, files and caches kept apart too. We test the wall so one tenant cannot reach another tenant's data.

Subscription billing

Plans, trials, part-month pricing, payment reminders and invoices on Stripe or Razorpay. Webhooks are checked on the server so access always matches payments.

Usage metering & limits

A system that counts seats, API calls or storage, matches them to the invoice, and enforces plan limits inside the product, not by hand.

Orgs, roles & permissions

Organisations and teams built in from the start, fine-grained permissions checked on the server, and a record of every important action.

Auth & enterprise SSO

Email and social login for self-serve users, with room to add SAML or OIDC single sign-on and SCIM user setup when a big buyer arrives.

Self-serve onboarding

A first-use experience with sensible defaults and starter data. It helps a new tenant get a real result before the trial runs out.

Operations console

A back office where support can change plans, give refunds, log in as a user safely and read the activity log. So more accounts do not mean more engineers.

Product analytics

Tracking of who starts, which features they use, and where trials get stuck. So pricing and plans are decisions backed by data, not guesses.

Servers that grow and can be watched

An app layer that can grow, a managed database with backups and recovery to any point in time, and dashboards and alarms. So you see a problem on a graph, not from a customer.

How we build

Foundations first, because they are the expensive things to change.

Every phase ends in something you can log into, bill through, or read. Never just a status update.

  1. 01

    Product & tenancy discovery

    1–2 weeks

    We find out the main job the product does, the customers it serves, and the rules they need. Then we choose the tenancy and billing model with care. You leave with a written design note, a clear scope, and a price we will stand behind.

  2. 02

    Tenancy, auth & billing spine

    3–5 weeks

    The multi-tenant core, the wall between tenants with its tests, organisations and roles, and subscription billing connected to real plans. It is plain work, but everything else stands safely on it.

  3. 03

    The core product surface

    6–12 weeks

    The daily work your customers really pay for, built in small working pieces and put on a staging URL you can open from your phone. A demo and a list of changes every second Friday.

  4. 04

    Metering, onboarding & ops

    3–5 weeks

    Usage counting and plan limits, the self-serve sign-up steps, product analytics, and the control panel your support team will work in. These parts let the business grow past its founders.

  5. 05

    Hardening & launch

    1–2 weeks

    Load testing, a security check against the OWASP top ten and the tenant wall, backups and recovery practised, and a plan to go back agreed before a launch date. We go live on a Tuesday, with dashboards open.

  6. 06

    Hypercare & handover

    30 days, then ongoing

    For the first month we treat your error rate as ours. We fix what real traffic shows, and hand over step-by-step guides and the design log. Or we stay on to build your next plans for a monthly fee.

The stack

Proven, multi-tenant-ready, hireable.

Chosen so the product can grow, the billing matches, and you can hire for it in India later without a rescue.

Laravel 12
PHP 8.4
PostgreSQL
Redis
Horizon
The difference

A SaaS built to last vs a web app with a login.

  Web app + login PRS SaaS build
Tenant isolation A tenant column and good intentions Built into the data layer, tested for leaks
Subscription billing Manual invoices, no proration Plans, part-month pricing, payment reminders, matched to usage
Enterprise readiness (SSO, roles, audit) Rewrite when the first big deal needs it Room left for it from day one
Onboarding A blank screen on trial start A first-use path to value before the trial ends
Running many accounts An engineer runs queries on the live system A control panel support really uses
Knowing what customers do Guesswork Sign-up and usage tracked
You own the code and data Sometimes, after a fight Yours from the first commit
Our engineering bar

Targets we build a SaaS to.

These are checks and design rules we hold ourselves to on every SaaS build. They are not growth numbers we promise you. They are the difference between a product that grows cleanly to a hundred tenants and one that must be rebuilt at the first big deal.

Talk about your product
0
Cross-tenant leaks by design

Data kept apart in the data layer and checked in tests, not left to a developer remembering a rule.

100%
Billing events reconciled

Every counted event ties back to an invoice. Access always matches checked payments.

Day 1
Room left for big companies

Organisations, roles and an SSO plan made from the start, so the first big deal is a new feature, not a rewrite.

99.9%
Uptime target

An app layer that can grow, a managed database with recovery to any point in time, and alarms before customers notice.

Proof

SaaS products running in the real world.

Multi-tenant platforms that bill cleanly, keep tenants apart safely and grow past their founders.

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FAQ

The questions founders ask before they commit.

Still have a question?

It depends on your customers and your rules. It is cheapest to decide on day one and most costly to change later. A shared schema with a tenant key and a strict global rule is the default. It is cheapest to run, easiest to build on, and right for most products. We use a database or schema per tenant when customers demand separate data in their contract, when a large tenant must be moved or restored on its own, or when one busy customer slowing down others is a real risk. Many mature products end up as a mix. We design the wall between tenants so a bug can never leak one tenant's data into another. A SaaS business does not recover from that failure.

Billing is where SaaS quietly loses money, so we treat it as core, not something added at the end. We build on Stripe or Razorpay for plans, trials, part-month pricing on upgrades and downgrades, and reminders for failed payments. We count usage in a system that matches the invoice. Plan limits are enforced in the application, so hitting a limit shows a clear prompt to upgrade, not a support ticket. Webhooks are checked on the server so a customer is never charged for a plan the product does not give.

We keep data apart at the lowest layer we can, not left to every developer remembering a rule. In a shared-schema model every query is automatically limited to the current tenant, so one tenant cannot reach another by design. Background jobs, exports, file storage and cache keys are limited to the tenant too, because that is where leaks really happen. We add automatic tests that check a tenant cannot read another tenant's records. With a database per tenant, the data is kept apart physically.

We plan roles, permissions and organisations properly from the start. Adding them to a flat user table when your first big deal asks for it is close to a rewrite. We build organisations and teams in from the start, fine-grained role-based permissions checked on the server, a record of important actions, and room to add SAML or OIDC SSO and SCIM user setup when a large customer needs them. You do not build all of it on day one, but the data model has to leave room for it, and ours does.

Because in self-serve SaaS the trial is where most money is won or lost. A customer who does not get value before it ends simply leaves. We design getting started as a real part of the product. It has a first-use experience that gets a new tenant to a real result quickly, sensible defaults and starter data, progress hints, and prompts at the right moments. This is the difference between a trial-to-paid rate that keeps the business alive and one that quietly loses every group of new users.

A focused first version — multi-tenancy, auth, the core workflow, subscription billing and a basic admin — is typically 14 to 20 weeks from around ₹18,00,000, built so you do not have to throw it away at Series A. A broader platform with usage counting, SSO for big companies, fine-grained roles and a full control panel runs 24 to 36 weeks. We do the tenancy and billing base first, because it is costly to change later. We plan the rest in a paid discovery so the price we give is one we can keep.

Bring us the SaaS you do not want to rebuild at Series A.

Tell us who your customers are, how you will charge them, and the compliance they demand. A senior engineer replies within one business day with a tenancy and billing suggestion, scope, risks and a price.

Start a SaaS project See our work
+91 93102 49840 aditi@prsindia.in

Proof

Shipped, measured, still running.

All case studies

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