Custom SaaS platform development.
Engineered to scale and bill.

Custom SaaS platform development by IrenicTech: multi-tenant architecture, subscription billing, admin panels, and customer portals engineered to scale, bill, and retain
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IrenicTech SaaS development at a glance

SaaS as an engineering discipline. Not a CRUD app with a paywall.

Most SaaS today is a generic boilerplate, bolted onto Stripe, then patched as the business hits its first scale event. Works for the demo. Breaks the moment a customer asks for SSO, audit logs, a tenant-level rate limit, or proration on a mid-cycle plan change.

We build custom SaaS platform development as an engineering discipline. Multi-tenant from the first commit. Billing integrated by design, not added before launch. Admin tooling treated as a first-class product surface. Observability, audit logs, and tenant isolation built into the schema, not into app code that a junior engineer can accidentally bypass.

The teams we work with do not want a SaaS MVP that needs a rewrite before the second sales call. They want a platform that scales, bills correctly, and retains customers past the first churn event.

Productized engagements

Fixed-scope SaaS sprints. Buyable, not negotiable.

Time-boxed, fixed-price, multi-tenant from day one. Pick the shape that matches what you are scoping. Every sprint hands you the code, the database schema, and the deploy pipeline on day one.

  • For founders

    SaaS MVP Sprint

    From spec to a launched SaaS in eight weeks.

    • Multi-tenant architecture from the first commit
    • Stripe billing and auth wired in, not bolted on
    • Investor-ready vertical slice on your real stack
    Book a discovery call
  • For operating teams

    Admin Tools Sprint

    The internal tools your ops team actually wants.

    • Audit of current ops tooling and manual workflows
    • Bespoke admin built on your real data model
    • Role-based access, audit logs, and ownership of every action
    Book a discovery call
  • For existing SaaS

    Billing & Subscription Sprint

    Add or rebuild your monetization layer without breaking churn metrics.

    • Stripe, Paddle, or custom billing integration
    • Usage-based metering, proration, and invoicing
    • Subscription analytics dashboard with cohort retention
    Book a discovery call

Our SaaS deliverables

  • Multi-tenant architecture

    Tenant isolation enforced at the database layer (schema-per-tenant, row-level security, or silo-per-tenant), picked per the data sensitivity model and tested with real workloads.

  • Subscription billing

    Stripe, Paddle, or custom billing with the full lifecycle: plans, proration, taxes, dunning, refunds, and revenue recognition. Designed as a first-class subsystem, not a plugin.

  • Admin panels & ops tooling

    Internal admin treated as a real product surface. Bespoke UI on your data model, role-based access, audit logs, and the workflows your ops team actually runs every day.

  • Customer portals

    Account dashboards, team management, billing self-service, invoice history, and the in-app account surfaces customers expect from a modern SaaS.

  • B2B SSO & RBAC

    Enterprise SSO (SAML, OIDC), role-based access control, team and organisation hierarchies, and the audit trail enterprise procurement teams will ask for.

  • Usage-based metering

    Event ingestion, metering, and aggregation designed for accuracy at scale. Per-tenant usage dashboards and the invoicing pipeline that turns events into revenue.

  • Dashboards & analytics

    Customer-facing analytics, internal retention and churn dashboards, cohort analysis, and the data pipeline that makes the numbers trustworthy enough to act on.

  • API platforms

    Developer-facing SaaS surfaces: API keys, usage metering, rate limiting, docs portal, OpenAPI spec, and an SDK in at least one first-class language.

Boilerplate vs engineered SaaS

Why most SaaS MVPs need a rewrite before Series A.

Two ways to ship a SaaS. One scales from 10 tenants to 10,000. The other does not.

The default pattern

Boilerplate SaaS template

A generic boilerplate, bolted onto Stripe, then patched as the business hits scale. Ships fast, breaks on the first enterprise customer.

  • Multi-tenancy is single-database, single-schema; isolation breaks at the first enterprise customer who asks for it in the security review.
  • Stripe wired up at the demo, breaks on plan changes, proration, taxes, dunning, and the first chargeback.
  • Admin tooling is a Retool dashboard nobody on the ops team actually opens.
  • No audit logs; SOC 2 readiness becomes a quarter-long retrofit before the first enterprise sale.
  • Migrations on the production DB are a hand-rolled risk; rollback is a Slack thread, not a pipeline.
  • Observability is 'we will add it when we need it', which is the morning after the first outage.

How we ship

IrenicTech engineering studio

Multi-tenant from the first commit, billing designed in, admin treated as a product, audit logs and observability built into the data model.

  • Multi-tenant from the first commit; isolation enforced by the database (Postgres RLS, schema-per-tenant, or silo) per the data sensitivity model.
  • Billing designed as a first-class subsystem covering the full Stripe lifecycle: plans, proration, taxes, dunning, refunds, revenue recognition.
  • Admin panels treated as a product surface with the same engineering rigour as the customer-facing app.
  • Audit logs in the data model from day one; SOC 2 evidence is mostly already there when audit time arrives.
  • Migrations run via a tested deploy pipeline with a documented rollback budget on every release.
  • Observability designed in: structured logs, distributed traces, per-tenant dashboards your on-call actually opens during an incident.

Where custom SaaS earns its place.

  1. 01 · B2B SaaS

    Multi-tenant ops platforms

    B2B SaaS for sales, support, finance, or HR teams: tenant onboarding, role-based access, audit trail, and the admin surfaces enterprise procurement asks for in week one of the trial.

  2. 02 · Vertical SaaS

    Industry-specific platforms

    Vertical SaaS built for the workflow shape of one industry (healthcare, real estate, fintech, logistics) with the compliance, data model, and integrations that vertical actually needs.

  3. 03 · Productization

    Internal tools, productized

    Take an internal tool that already runs your business, harden the data model, add tenant isolation and billing, and ship it as a SaaS product. The lowest-risk path to a second revenue line.

  4. 04 · Marketplace

    Two-sided marketplace SaaS

    Buyer experience, seller portal, ops backend, and the matching, payments, and dispute-resolution plumbing that lets a marketplace actually run without manual ops every day.

  5. 05 · AI-native

    AI-native SaaS

    SaaS with AI built in per tenant: copilots, retrieval over the tenant's own data, intelligent automation, eval harnesses, and per-tenant model selection. AI as a first-class subsystem.

    See our AI Native practice
  6. 06 · API platform

    Developer-facing SaaS

    API platforms with API keys, usage metering, rate limits, OpenAPI spec, an SDK in at least one language, docs portal, and the billing layer that turns API calls into revenue.

Spotlight case study

Unicare
AI-powered care management, shipped end to end.

A custom SaaS platform for NDIS and aged-care providers across Australia: web app, native iOS, native Android, AI-powered case notes, and audit-ready compliance baked in. Live across hundreds of provider workflows today.

  • 40%

    Admin time cut

  • 3

    Surfaces (web, iOS, Android)

  • Audit-ready

    By default

Read the full case study

Voice of the customer

From founders and CTOs shipping production SaaS.

  • Two failed boilerplate attempts before this. The multi-tenant vertical slice shipped in the time we had planned to spend evaluating frameworks.

    Daniel Mercer

    Founder, Lattica

  • Billing rewrite landed six weeks ahead of our Series A. Proration, dunning, revenue recognition all worked from day one. The churn metric did not move during the cutover.

    Priya Raghavan

    CTO, Halewood Health

  • Our internal ops console is now a second revenue line. Multi-tenancy and Stripe were added without rewriting the data model we already trusted.

    Marcus Holt

    Co-founder, Brindle

How we ship custom SaaS platforms.

Six steps from first call to a live SaaS platform. The architecture brief validates the multi-tenancy model before any production code ships; the compliance pass gates the launch.

  1. 01

    Discovery & architecture

    Multi-tenancy model (silo, schema-per-tenant, or row-level), data model, billing model, identity strategy, and the scaling envelope you are designing for. One-page architecture brief, then we build.

  2. 02

    Schema & migrations

    Production-grade schema with tenant isolation enforced by the database. Tested migration pipeline, seed and fixture data, and the rollback strategy for every breaking change.

  3. 03

    Vertical slice

    One full user journey end to end on real auth, real billing, real database. Investor-demoable. Sets the engineering pattern the rest of the build follows.

  4. 04

    Build

    Admin panels, customer portals, billing UI, automated tests, deploy pipeline, observability, and the operational tooling your team will use every day.

  5. 05

    Compliance pass

    SOC 2 readiness review, audit-log coverage check, security review, performance load test at the target tenant scale. Findings block launch the same way failing tests do.

  6. 06

    Launch & retain

    Production deploy with monitoring, on-call runbook, retention and churn dashboards, and an ongoing product team for the post-launch feature delivery cadence the SaaS needs.

SaaS security, compliance, and observability, built in.

SOC 2, GDPR, PCI DSS via Stripe, OWASP Top 10, multi-tenant data isolation, audit logging, HIPAA when the vertical demands it, and OpenTelemetry observability built into the architecture. Not retrofitted before the first enterprise security review.

SOC 2 readiness reviews and multi-tenant isolation audits available as standalone engagements. Bring your live SaaS, leave with a prioritised remediation backlog.

Common questions, answered.

  • How long does it take to build a custom SaaS?

    SaaS MVP Sprint: eight weeks to a vertical slice with multi-tenant, auth, and Stripe wired in. Production-grade launch to first paying customer: three to six months depending on admin tooling and billing complexity. Ongoing: product-team retainer for continuous feature delivery and quarterly architecture review.

  • What does a custom SaaS build cost?

    Price varies with the scope of the work. The productized sprints are fixed-price for the scope they cover. A production-grade platform build is quoted after the discovery call, with the number driven by admin tooling depth, billing complexity, integrations, compliance regime, and the tenant scale you are designing for. The discovery call itself is free; you accept the estimate or you do not.

  • Should I start multi-tenant from day one, or migrate later?

    Multi-tenant from day one. The cost difference between greenfield multi-tenant and single-tenant is minimal if you start there. Retrofitting multi-tenancy onto a single-tenant app at month twelve is a six-month project that blocks every other roadmap item. Default plan: multi-tenant from the first commit.

  • Stripe, Paddle, or roll our own billing?

    Stripe by default for North American and most international SaaS. Paddle when merchant-of-record handling of EU VAT or sales-tax compliance is worth more than the take-rate difference. Custom billing only when the pricing model genuinely does not fit either (per-second metering, regulated industries, in-app store rev-share). The discovery brief picks the answer.

  • What auth do you recommend (Auth0, Clerk, custom)?

    Depends on stage and team. Clerk for fast MVP with social, email, and magic-link out of the box. Auth0 when enterprise SSO (SAML, OIDC) and audit certifications are needed early. Custom on top of NextAuth or Lucia when the team has identity-engineering chops and wants long-term cost control. The architecture is designed so the choice is reversible.

  • How do you handle tenant data isolation?

    Per the data sensitivity model. Schema-per-tenant when isolation is regulatory or contractual (healthcare, finance). Row-level isolation with tenant_id enforced by Postgres RLS for standard B2B SaaS. Silo-per-tenant only when scale or compliance forces it. Whatever model we pick, isolation is enforced by the database, not by app code a junior engineer can accidentally bypass.

  • Can the SaaS scale from 10 to 10,000 tenants without a rewrite?

    Yes, if the architecture is right. The pieces that fail at scale are: connection pooling (PgBouncer from the start), query patterns that ignore tenant_id indexing, billing that was not designed for usage-based, and observability that does not break down per-tenant. We design for the 10k-tenant case from sprint one even when the launch target is 10.

  • White-label and reseller features: when should we plan for them?

    Plan for white-label at architecture time even if you do not ship it for a year. Subdomain routing, theming via CSS variables, per-tenant logos and copy, and a content-management layer the customer can administer. Retrofitting white-label after launch is a four-month project. Designing for it on day one is a two-week pattern.

  • Who owns the code, the database, and the deploy pipeline?

    You. From day one. We push to your GitHub organisation, deploy to your cloud account, use your domain registrar and DNS, store secrets in your secret manager, and document everything in your wiki. No proprietary platform you cannot leave; no ongoing dependency on us unless you want one.

Start a conversation

Tell us what you’re building.

Share the essentials and we’ll reply within 4 hours with a real next step, not an auto-responder.

What happens next

  1. We reply within 4 hours, from a real person, not an auto-responder.
  2. A short scoping call to understand the goal, constraints, and timeline.
  3. A fixed-scope discovery sprint: a working prototype and a written estimate.
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