SaaS development company in India
Multi-tenant platforms with tenancy, billing, roles and onboarding designed into the first release rather than retrofitted into the third.
The difference between an application and a SaaS product is not the login screen. It is that a second customer exists, and almost every hard decision in the system follows from that: how tenants are isolated, what a plan actually gates, who can invite whom, what happens on downgrade, and how you migrate a schema when you cannot take the product down.
Those decisions are cheap to make at the start and brutally expensive to reverse. Shared-schema versus schema-per-tenant is the obvious one — teams pick it in week one, usually without writing down why, and then discover in year two that their largest prospect requires data residency the model cannot express.
We build SaaS as products that are meant to be sold and operated, and we run three of our own — Travel CRM, AI Trainer and WhatsApp Suite — so the operational side is not theoretical here.
What the work includes
Tenancy model, chosen deliberately
Shared schema, schema-per-tenant or database-per-tenant, argued on your actual isolation, residency and scale requirements — and written down, so the next engineer knows why.
Billing that matches the plan
Subscriptions, seats, metering, trials, proration and the unglamorous parts — failed payments, downgrades, refunds — which are where billing implementations usually break.
Roles and permissions
A model that survives the enterprise deal asking for custom roles, rather than three hardcoded tiers and an if-statement.
Onboarding and activation
The path from signup to the first useful moment, instrumented so you can see where it is lost.
Zero-downtime migrations
Expand-and-contract schema changes and backfills you can run on live data, because a maintenance window stops being an option once customers depend on you.
Admin and support tooling
Impersonation, audit trails and the internal screens your support team needs. Built early, because the alternative is engineers running SQL against production.
Scope against a decision, not a wishlist
The first conversation is about what you are trying to decide or change, and we say plainly which parts of the request we think are wrong. A scope that survives contact with the first sprint is worth more than one that flatters the brief.
Architecture written down before code
The decisions that are expensive to reverse — tenancy model, data ownership, auth, where state lives — get written down and argued about while they are still cheap. You keep that document; it is what lets another team pick the system up.
Two-week increments, working software each time
Every increment ends with something you can open and use, not a status update. If a plan is going wrong you find out in a fortnight rather than at handover.
Handover you could act on without us
Tests, logs, runbooks and the reasoning behind the architecture. We would rather you were able to leave than locked in, and the engagements that last are the ones where that was true from the start.
What it is built on
Questions we get asked
Should we start multi-tenant or add it later?
Start multi-tenant. Retrofitting tenancy means touching every query, every index and every permission check in the system at once, usually while customers are already using it. Building it in from the first release costs comparatively little.
Shared schema or a database per tenant?
Shared schema with row-level security handles the large majority of B2B SaaS and is far cheaper to operate. Database-per-tenant earns its cost when you have hard data-residency or isolation requirements, or a small number of very large customers. It is a decision to make explicitly, not by default.
Can you take over an existing SaaS codebase?
Yes, and it is a common starting point. The first phase is usually a read-only audit: what the tenancy model actually is, where the migrations are risky, and what would break under the next order of magnitude. You get that as a document whether or not we continue.
Do you host it, or do we?
Either. Several clients run on their own cloud accounts with us operating it; others prefer we host. What we insist on is that you could take it over — infrastructure as code, not a machine somebody configured by hand.