# SaaS Development Services — Mobizio

> Architect and ship production-ready SaaS platforms with multi-tenant data design, billing integrations, and scalable infrastructure.

## Capabilities

- Multi-tenant data architecture (schema-per-tenant or shared-schema)
- Billing and subscription (Stripe, Paddle, Chargebee)
- Role-based access control and team management
- Audit logs, SSO, SCIM provisioning
- White-label and custom domain support
- Usage metering and quota enforcement

## Compliance

Architecture aligned with SOC 2, GDPR, HIPAA requirements.

## Process

1. Tenancy model and pricing strategy
2. Core platform build (auth, billing, admin)
3. Feature delivery in sprints
4. Beta with design partners
5. GA launch and growth instrumentation
6. Ongoing platform engineering

Contact: usman@mobizio.io

## How will you isolate one customer from another?

Tenant isolation is the first architectural decision in any SaaS product and the hardest one to reverse. These are the three options, and the honest trade-offs between them.

| Model | How data is separated | Cost to run | Extracting or deleting one customer | Suits |
| --- | --- | --- | --- | --- |
| Shared schema | One database, a tenant ID column on every table | Lowest — one set of infrastructure however many customers you have | Hard: a query per table, and a bug leaks another tenant's rows | Self-serve products with many small customers |
| Schema per tenant | One database, a separate schema for each customer | Moderate — grows with customer count, not usage | Straightforward: drop or dump the schema | Mid-market products with tens to hundreds of customers |
| Database per tenant | A separate database for each customer | Highest — and migrations must run everywhere | Trivial, and provable to an auditor | Enterprise or regulated buyers who require it contractually |

## Common questions

### Which isolation model should we start with?

Shared schema, in most cases — it is the cheapest to run and the fastest to build, and the large majority of SaaS products never need more. The decision to make consciously is not which model but whether you can move later, and that depends on discipline rather than architecture: route every query through one layer that applies the tenant filter, never let application code hand-write a query without it, and keep tenant identity out of your URLs and public IDs. Get that right and switching models later is a migration. Get it wrong and it is a rewrite.

### Should we build billing ourselves or use Stripe?

Use Stripe, or an equivalent, essentially always. Billing looks like a solved problem until you meet proration on a mid-cycle plan change, failed-payment retries, tax by jurisdiction, refunds, dunning emails and the invoice a customer's finance team insists on. That is months of work with a permanent maintenance cost and no differentiation — no one has ever chosen a SaaS product because it built its own billing. What we do build is the layer between the payment provider and your product: what a plan actually unlocks, what happens the moment it lapses, and how a customer moves between tiers without losing access mid-session.

### When do we need SOC 2, and how much does it change the build?

You need it when a customer asks, and usually not before — which in practice means the first enterprise deal in your pipeline. It changes the build less than people fear if the foundations are already there: audit logs that record who changed what, least-privilege access, encryption in transit and at rest, and a real answer to how you would delete a customer's data. Those are worth having anyway. What SOC 2 adds is evidence and process on top of them. Retrofitting the foundations to pass an audit is the expensive path, so we put them in from the start even when nobody has asked yet.

### How do we avoid rebuilding when we go from ten customers to a thousand?

The rebuilds we get called in for are rarely caused by traffic. They are caused by decisions that were reasonable at ten customers and are load-bearing at a thousand: sequential IDs that leak how many customers you have, permissions checked in the interface rather than in the data layer, background jobs that do not know which tenant they are running for, and no way to answer "who changed this record". None of those are expensive to get right early, and all of them are painful to change once real customers depend on the behaviour.

## Related reading

- [Multi-tenant SaaS decisions you cannot undo later](https://mobizio.io/blog/multi-tenant-saas-architecture) — The long-form version of the table above.
- [Backend Development](https://mobizio.io/services/backend-development) — APIs, data model and the infrastructure underneath.
- [MVP Development](https://mobizio.io/services/mvp-development) — Getting the first version in front of real users.
- [Software Consulting](https://mobizio.io/services/software-consulting) — An architecture review before you commit to a model.
- [What an AI feature actually costs to run](https://mobizio.io/blog/ai-feature-unit-economics) — Before you price a plan around it.