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Custom Platforms

Multi-Tenant Platform Development

Multi-tenant platforms engineered so one customer's data structurally cannot reach another's — not a permissions check away from a breach.

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Off-the-shelf SaaS tools force your product to fit someone else's schema, and most custom multi-tenant builds fake isolation with an application-level `WHERE tenant_id = ?` clause — one missed filter away from one customer reading another's data.

We build the platform underneath differently. Tenant isolation is enforced at the database layer with Postgres row-level security and a per-transaction session variable carrying a bleed-guard: an unset variable reads back NULL and matches no rows, so a bug in application code fails to an empty result, never to another tenant's data. The database role the application runs as cannot bypass RLS and does not own the tables it queries.

You own the code and the schema outright — no vendor lock-in, no dependency on us to keep running. Two senior architects with AI leverage do the build, prototype-first so you see and approve the data model before core engineering starts, and every departure from the agreed spec is a numbered ADR, not a Slack message nobody can find later.

The problem we solve

Multi-tenant products where isolation is a permissions check instead of a database guarantee — one bug, one missed filter, and a customer sees another customer's data. Teams find out this is how their platform was built only when a security review asks for proof, and there isn't any.

What you get

Tenant isolation enforced with Postgres row-level security at the data layer, not app-layer checks
Bleed-guard on every isolation policy — a failure returns empty, never another tenant's row
Isolation test suite with positive controls, so an empty result can't hide a broken query
You own the code, schema, and infrastructure — no vendor lock-in
Cloud-deployed with CI/CD, automated testing, and staged environments
Interactive prototype of the data model and core flows before full engineering begins

What we deliver

  • Data model and tenant-isolation architecture, reviewed before build
  • Production-grade platform with automated test coverage
  • Isolation test suite with positive controls
  • Numbered ADRs recording every architectural decision and deviation
  • Source code, schema ownership, and documentation
  • Managed support and roadmap advisory

Who it's for

  • Founders building a multi-tenant SaaS product who need isolation they can prove, not just claim
  • Enterprise teams whose compliance review will ask for evidence, not an assurance
  • Companies that outgrew an off-the-shelf tool and need a platform shaped around their own model

Indicative investment

Transparent ranges so you can plan. Final scope and quote are confirmed on your scoping call.

PackageFromTimeline
Platform Starter$6,0003–5 weeks
Multi-Tenant Platform MVP$13,0006–10 weeks
Enterprise Platform$36,00010–16 weeks

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Frequently asked questions

How much does custom platform development cost?

A platform starter — a single-tenant tool or a narrow-scope build — starts at $6,000 and runs 3–5 weeks. A multi-tenant platform MVP starts at $13,000 (6–10 weeks), and an enterprise-grade platform starts at $36,000 (10–16 weeks). Final cost depends on the number of tenant-facing roles, integrations, and compliance requirements.

How do you prove tenant isolation actually works, not just claim it?

Every isolation policy is covered by a test that includes a positive control — a case engineered to fail if the policy isn't actually enforced. That's how an empty query result gets ruled out as a false pass. The isolation logic itself lives in Postgres row-level security policies, not in application code that a future change could quietly break.

Do we own the code and the database?

Yes, outright. You get the source code, the schema, and the infrastructure configuration — no vendor lock-in, and no dependency on us to keep the platform running.

What do you build before writing production code?

A live, interactive prototype of the core data model and primary user flows, which you use and react to before any core engineering begins. This is where multi-tenant boundaries and role permissions get argued out, while changing them is still cheap.

Can this scale to meet enterprise compliance requirements?

Yes. Row-level security enforced at the data layer, positive-control isolation tests, a numbered ADR for every deviation from spec, and a security review before handover are the same practices we'd bring to a regulated engagement — they're not an upgrade tier, they're how the platform gets built from the first migration.

Ready to scope your custom platforms project?

Start with a scoping call. You leave knowing the timeline, the fixed price, and whether it's a fit — before you commit to anything.

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