SaaS Development Company for Startups & Founders
MVP to scale — multi-tenant SaaS with subscriptions, billing, RBAC and analytics.
What Building With Orixa Looks Like
In systems we build at Orixa, tenant isolation is decided before the first feature ships — not retrofitted after the first enterprise deal. Our engineering documentation on multi-tenant SaaS architecture describes the shared-schema pattern with PostgreSQL Row-Level Security we default to, how tenant context resolves from the authenticated session into every query, and how cross-tenant access tests run in CI so a regression cannot silently leak data between customers.
MVP Development
We ship launch-ready MVPs in 4–8 weeks: scoped to one core loop, wired end-to-end — auth, billing, dashboard, emails — so you can put a paying product in front of real users in weeks, not quarters.
Multi-Tenancy Architecture
Tenant isolation designed from sprint one: shared-schema with row-level tenancy or schema-per-tenant where required, enforced in queries and APIs so no customer ever sees another customer's data.
Subscription Billing & Payments
Plans, free trials, upgrades, downgrades, proration, coupons, dunning, and invoicing — integrated with Stripe, Paddle, or local gateways. Webhooks are idempotent and every charge lands in your ledger.
Role-Based Access Control (RBAC)
Granular roles and permissions per organization: owners, admins, members, and custom roles with permission matrices checked server-side — ready for enterprise buyers who ask about access control in security reviews.
APIs & Integrations
Documented REST APIs with versioning, rate limiting, and API keys, plus the integrations your users expect — Slack, Google Workspace, Zapier, webhooks, and CSV import/export.
Dashboards & Analytics
Admin panels for your team and usage dashboards for your customers: MRR, churn, active users, feature adoption, and per-tenant usage metering for usage-based pricing.
Cloud Infrastructure & Scaling
Deployed on Vercel, AWS, or your provider of choice with CI/CD, staging environments, caching, background jobs, and load testing before launch — scaling from first user to millions of requests.
Security & Compliance
Encrypted secrets, audit logs, session security, dependency scanning, and OWASP-aligned practices baked into the pipeline — the answers you need for procurement and SOC 2 readiness questions.
AI-Assisted Development Workflow
Orixa engineers work AI-augmented: faster scaffolding, automated test generation, and code review copilots — human-reviewed output that compresses timelines without cutting quality.
Freelancer vs Generic Agency vs Orixa SaaS Development
| Dimension | Freelancer | Generic Agency | Orixa SaaS Development |
|---|---|---|---|
| Multi-tenancy experience | Often none — single-tenant code | Rarely production-proven | Isolation modeled from sprint one |
| Subscription billing | Basic checkout at best | Plugin-based, breaks at scale | Plans, proration, dunning, webhooks, invoices |
| RBAC | Hardcoded roles in components | Generic admin-panel roles | Granular permissions enforced server-side |
| Architecture documentation | Rarely exists | Static PDF after handover | Living docs: tenant model, ERDs, ADRs |
| Post-launch SLA | None — best-effort availability | Email support, slow response | Defined SLA with monitoring and targets |
| Delivery model | Ad-hoc, single-person risk | Fixed scope, change-request heavy | AI-augmented sprints, weekly demos, 4–8 week MVP |
Source: Orixa engineering documentation (/engineering/multi-tenant-saas-architecture) — last reviewed August 2026.
Reference SaaS Architecture
Client apps (web / mobile)
|
v
API gateway ---- auth + rate limiting
|
v
Tenant resolver (session -> tenant id)
|
v
Domain services (billing, RBAC, analytics)
|
|--> PostgreSQL (Row-Level Security per tenant)
|--> Redis (cache + job queues)
'--> Background jobs (webhooks, invoices, emails)Source: Orixa engineering documentation (/engineering/multi-tenant-saas-architecture) — last reviewed August 2026.
How We Deliver SaaS Products
From first call to launched platform — read the full process on how we work.
Discovery
Scope the core loop, estimate in days, fix a weekly demo cadence.
Architecture
Tenant model, billing plan, and RBAC matrix documented before code.
MVP Build
AI-augmented sprints ship working software every week for 4–8 weeks.
Scale
Load testing, observability, and a post-launch SLA from day one.
Frequently Asked Questions
How does multi-tenancy isolate one customer's data from another?
Every request carries a tenant context that is resolved from the authenticated user, not from client input. Queries are filtered through a shared schema with row-level tenancy (enforced by database policies such as PostgreSQL Row-Level Security) or a schema-per-tenant layout for customers who need stronger guarantees. Migrations run against every tenant atomically, storage paths are namespaced per tenant, and backups can be restored per tenant. Isolation is tested with automated cross-tenant access tests in CI, so a regression cannot silently leak data between customers.
What does a typical 4–8 week MVP timeline look like?
Week 1: discovery and architecture — user flows, data model, tenant strategy, and billing plan signed off. Weeks 2–5: build sprints covering authentication, the core product loop, subscription billing, and the admin dashboard, with a working demo every Friday. Week 6: hardening — automated tests, seed data, error tracking, and performance passes. Weeks 7–8: private beta — staging deployment, feedback fixes, analytics wiring, then production launch with monitoring and a rollback plan. Scope stays fixed to one core loop; everything else goes on the post-launch roadmap.
How do subscription billing integrations work?
We integrate Stripe, Paddle, or local gateways through their hosted billing layers where possible, so card data never touches our servers. Plans, trials, and prices are configured as source-of-truth products; your app listens to signed webhooks for subscription events, and handlers are idempotent so retries cannot double-apply a change. Upgrades and downgrades apply proration rules automatically, failed payments trigger a dunning sequence with retry windows, and every invoice state change is written to your own ledger so finance reporting never depends on the gateway dashboard alone.
Which tech stack do you choose for a SaaS product?
Our default is Next.js on the frontend, Node.js (NestJS) or Django on the backend, PostgreSQL with row-level security for tenancy, Redis for queues and caching, and CI/CD onto Vercel or AWS — a stack proven across dozens of launches. But the choice follows your constraints: existing code, hiring market, team skills, and ecosystem maturity for your domain. We document the trade-off in an architecture decision record so future engineers understand why the stack is what it is — and we will tell you honestly if extending what you have beats rewriting it.
Ready to Ship Your SaaS Product?
Book a free consultation. Get an MVP scope, timeline, and estimate in days — not weeks.
Book Free Consultation