Web Apps & SaaS
Authenticated products, dashboards and subscription platforms.
Sell one product to many businesses without a separate copy for each. We build in sign-up, plans and billing from the start, avoiding costly rework later.
Multi-tenant (many-customer) SaaS development builds one product that serves many customer organizations, each seeing only its own data. It covers keeping customers apart, plans and limits, self-service sign-up, billing hooks and admin tools. Customer separation is decided in the data model first, because adding it later means rewriting every query.
A good fit for
We define what a customer account is in your product, and how people join one.
We design customer separation, plans and billing events before the first screen.
Sign-up, the first empty screen and the upgrade path are designed as core parts of the product.
We build the app, separation, plan checks and billing together, and release a usable version early.
We try to cross customer boundaries with a real session, and test plans, payments and cancellation.
We launch with monitoring, backups and a rollback route, and switch billing live after test payments.
Usage, activation, plan changes and churn feed a release schedule as the product grows.
Problem
What we do
One codebase and one deployment serve every customer, with one update path.
Problem
What we do
Every query is limited to one customer by design, and access is checked on the server.
Problem
What we do
Plans and limits live in the product and stay in step with billing.
| Dimension | Single-tenant | Multi-tenant |
|---|---|---|
| Cost of one more customer | Another deployment to host and maintain. | Close to nothing: one codebase, one deployment. |
| Isolation | Separate by default, at the infrastructure level. | Designed into the data model, checked on every request. |
| Per-customer customization | Easy, and why single-tenant products become hard to maintain. | Settings rather than code, so the product stays one product. |
| When it fits | A few large customers with strict data residency requirements. | Many customers on the same workflow, sold by subscription. |
Tenancy is decided at the data-model stage, every query is scoped to the tenant of the signed-in user, and permission checks run on the server rather than in the interface. Administrative access across tenants is an explicit, logged exception. The approach is documented so your team or an auditor can review it rather than trust it.
Sometimes, and it is a significant piece of work rather than a configuration change, because every query and every table has to account for a tenant boundary that was not there. We assess the existing schema and code first and tell you honestly whether migration or a rebuild of the data layer is the cheaper route.
More than an application for one organization, because tenancy, onboarding, plans and billing are real product surfaces rather than features. What controls the figure is how much of the first release is genuinely needed to sign a first paying customer. We scope for that release rather than for the eventual roadmap.
The platform is deployed to infrastructure in your own accounts, so you own the product and the data. Running it — monitoring, backups, updates and support — can be arranged under hosting, maintenance and support as an explicit agreement, or handed to your own team with the documentation to do it.
It is designed with appropriate security practices: server-side authorization on every request, tenant-scoped data access, hashed credentials, optional two-factor authentication, logging on sensitive actions, and secrets held in environment configuration. No supplier can honestly guarantee security, and we will not. What we do is make the approach explicit and reviewable.
Short answers are above. Open a panel below for the specifics: how we decide, what is included and the deeper questions.
You are selling access rather than delivering a project, customers sign up rather than being provisioned, and revenue is recurring. Tenancy, plans and billing are then core product work, not extras.
Software for your own business, however many users it has, does not need tenancy or billing. Building them anyway is paying for capability you will not use.
A small number of large customers with strict data residency or specific requirements can justify separate deployments. It costs more per customer, and it should be a decision rather than an accident.
A tenant boundary in the data model. Every record belongs to a tenant, every query is scoped to the tenant of the signed-in user, and shared data is explicitly marked as shared. Multi-tenancy is that property — not the number of users, and not whether the product is sold by subscription.
How the boundary is implemented varies: a tenant column on every table with enforced scoping, a schema per tenant, or a database per tenant. Each trades operational complexity against separation, and the right answer depends on your customers, their data-residency requirements and how many of them you expect.
Plans define entitlements — features, limits and seats — and the application enforces them on every request. Billing events from the payment provider update those entitlements, so an upgrade takes effect immediately and a failed payment degrades access according to rules you set rather than by someone noticing.
The failure mode worth designing out is billing and product disagreeing: a customer paying for a plan the application does not grant, or using capacity they stopped paying for. Keeping entitlements derived from billing events rather than maintained by hand is what prevents that.
The one you choose. Subscription billing is integrated against your provider, and scope is agreed before it is quoted. We do not claim a pre-built connection to every provider, because that would not be true of all of them.
That is what self-service onboarding is for, and it is worth building early. Account creation, tenant provisioning and a useful empty state let a prospect evaluate the product the moment they find it.
Only its public surface, and that surface deserves real attention. Marketing pages, pricing, documentation, changelog and any content published outside the login can rank; the authenticated product cannot and should not. Treating both halves the same way is a common and expensive mistake.
In practice this means the public routes are statically generated with proper metadata, structured data and internal linking, while authenticated routes are excluded from indexing. Documentation is frequently the strongest organic asset a SaaS product has, because it answers the specific questions prospective users search for.
One platform serves every customer organization, and each of them sees only its own data. The diagram is an explanation of the model rather than a description of a specific security architecture — the isolation approach for your product is designed and documented during the build.
One codebase, one deployment, one release path. Shared configuration, shared infrastructure, and the rules that define what a tenant may see.
A customer organization with its own users, roles, records and settings, scoped so that no query can return another tenant data.
Another organization on the same platform and the same release, on whichever plan it subscribes to, with its own entitlements.
A third, which could be on a different plan with different limits — and which cannot tell that A and B exist.
One deployment, one update path, one codebase. This is the economic difference between a software product and a consultancy with a login screen.
Tenant scoping designed into the data model and enforced server-side means separation does not depend on a developer remembering a filter on every new query.
Entitlements live in the application and stay in step with billing events, so what a customer pays for and what they can do are the same thing.
Self-service onboarding lets customers evaluate and start without a call, which is what makes marketing spend and organic traffic convert.
Software built for one business that other businesses in the same sector have asked to use. The work is tenancy, onboarding and billing rather than features.
A product serving many practices, clinics or firms, where each organization has its own users, data and configuration but the workflow is shared.
An existing product running as separate copies per client, where the maintenance cost has become the constraint on taking new customers.
Tell us what you need and when you need it. We reply with a clear scope and the next steps.