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Outcome · Web Application

A single-tenant application can't serve enterprise customers. Multi-tenancy makes it possible.

Retrofitting multi-tenancy into an existing application is one of the most technically demanding changes a SaaS product goes through. Done correctly, it enables enterprise accounts, partner white-labeling, and the architectural foundation for scale. We've done it. Fixed scope, fixed price.

150+
Projects shipped
99%
Client retention
~12wk
Average delivery
The problem
Single-tenant application that needs to serve multiple isolated customer organizations — either for enterprise sales or for a reseller/partner distribution model

Single-tenant applications — where all customer data lives in the same database tables without tenant separation — can work fine for consumer products or small teams. They fail at enterprise requirements: customer A must not be able to see customer B's data, even if there's a bug in the application logic. Enterprise security reviews catch the absence of proper data isolation. The most common enterprise questionnaire question: "How is customer data isolated?" The answer "by application logic only" is not acceptable.

There are three multi-tenancy patterns, each with different tradeoffs:

Shared database, shared schema: All tenants' data in the same tables, differentiated by a tenant_id column. Cheapest to operate, most complex to secure correctly. Requires Row Level Security (Postgres RLS) or equivalent application-layer enforcement on every query.

Shared database, separate schemas: Each tenant gets their own Postgres schema. More isolation than shared schema, but still one database. Complicates migrations (schema changes need to run per-tenant).

Separate databases per tenant: Maximum isolation. Impractical at scale — database connection pools, migration management, and operational complexity grow linearly with tenant count.

Our approach: Shared database with Clerk Organisations for tenant identity + Postgres Row Level Security for data isolation. The orgId from the Clerk session is the tenant identifier. RLS policies enforce that all queries only return rows belonging to the authenticated org. Even if there's an application bug, the database layer prevents cross-tenant data access.

What we build

Multi-tenant application with proper data isolation per organization, org-scoped user management, and the Clerk Organisations architecture that makes the isolation reliable

Clerk Organisations migration

Existing users migrated to Clerk with org membership. Single user can belong to multiple orgs (useful for consultants or agencies). Org admin roles for team management.

Data model migration

`tenant_id` column added to all tenant-scoped tables. Existing data assigned to the first tenant. Migration validates no orphaned records.

RLS policies

Postgres RLS policies added to all tenant-scoped tables. Session variable set on each database connection from the authenticated Clerk session. Policies verified with cross-tenant access tests.

Org-scoped user management

Admin UI for org admins to invite team members, assign roles, and manage access. Separate from platform admin.

Org creation and onboarding

Self-serve org creation flow for new customers. Org invite flow for adding team members.

Engagement

One honest number to start.

Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.

Tier · Web ApplicationFixed scope
From$25,000

Multi-tenant application with proper data isolation per organization, org-scoped user management, and the Clerk Organisations architecture that makes the isolation reliable

99% client retention across 40+ projects
Process

Three steps, every time.

The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.

01Week 0

Brief & discovery.

We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.

02Weeks 1–N

Build & ship.

Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.

03Post-launch

Warranty & retainer.

30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.

Why fixed-price

Why Fixed-Price Matters Here

Multi-tenancy retrofit scope is defined by the data model — every table, its relationship to tenants, and its migration path. Fixed price after the scope analysis.

FAQ

Questions, answered.

The data model distinguishes tenant-scoped data (isolated per org) from platform-scoped data (shared across all tenants). The RLS policies only apply to tenant-scoped tables. Platform-scoped tables (configuration, lookup tables) are readable by all authenticated users without tenant filtering.

Clerk Organisations supports multi-membership — a user can be a member of multiple orgs and switch between them. This is the right model for consultants, agencies, or power users who manage multiple accounts.

Multi-tenancy retrofit: from $22k for straightforward data models. Complex migrations with many tenant-scoped tables: from $35k. Fixed-price.

Next step

Tell Ryel about your project.

Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.