SaaS Development

We build SaaS products that are still running in 5 years

MVP through scale — architecture decisions made for longevity, not just demo day. We've built products that handle multi-tenancy, billing edge cases, and real traffic. We know what breaks and how to prevent it.

From internal tools to full-scale platforms

B2B SaaS Products

Multi-tenant platforms with RBAC, subscription billing, team management, and the operational plumbing that B2B buyers expect before they sign a contract.

Internal Tools

Bespoke back-office applications that replace spreadsheet workflows. Built faster than a full SaaS product, deployed where your team already works.

Marketplace Platforms

Two-sided platforms connecting supply and demand. Payments, escrow, listings, search, reviews — the full marketplace stack.

API-First Products

Headless backends designed to power your web app, mobile app, and partner integrations simultaneously. OpenAPI documented from day one.

Tech chosen for production, not hype

We use boring, battle-tested technology. The interesting work is in the product — not in the infrastructure choices. Here's what we default to and why.

  • Python / FastAPI — fast, typed, well-documented
  • React / Next.js — SSR, strong ecosystem, hirable talent
  • PostgreSQL — row-level security for multi-tenancy
  • Redis — caching, queues, pub/sub
  • AWS or GCP — with Terraform-managed infra
  • Stripe — billing, subscriptions, metered usage
  • Multi-tenancy: schema-per-tenant or row-level isolation
tenant_middleware.py
class TenantMiddleware:
    """Resolve tenant from subdomain or header,
    set DB schema for request lifetime."""

    async def __call__(self, request, call_next):
        tenant = resolve_tenant(
            request.headers.get("X-Tenant-ID")
            or extract_subdomain(request.url.hostname)
        )
        if not tenant or not tenant.is_active:
            raise HTTPException(404)

        request.state.tenant = tenant
        with schema_context(tenant.schema_name):
            return await call_next(request)

How we take you from idea to production

01

Discovery & Scoping

We spend 1–2 weeks understanding the product, the users, and the business model. Output: a written spec, architecture diagram, and fixed-price quote. No vague SOWs.

02

Architecture

Database schema, API contracts, infrastructure design, and security model agreed before a line of product code is written. This week pays for itself many times over.

03

MVP Build (8–12 weeks)

Working software, not prototypes. Auth, billing, core features, admin panel, CI/CD pipeline, basic observability. Something real customers can use.

04

Growth Iterations

Post-MVP, we work in 2-week sprints. Prioritised by customer feedback and business metrics. You can scale up or down the team size as the roadmap evolves.

Every SaaS project ships with this baseline

Auth & RBAC

Email/password, OAuth SSO, and role-based access control built into the foundation. Not bolted on later.

Billing & Subscriptions

Stripe integration: plans, seats, usage-based billing, upgrade/downgrade flows, dunning emails, and invoice history.

Audit Logs

Every data mutation logged with actor, timestamp, and before/after values. Required for compliance, invaluable for debugging.

Observability

Sentry for errors, structured logging, uptime monitoring, and performance dashboards. You can see what's happening in production.

CI/CD from Day One

Automated test suites, staging deployments on every PR, and one-command production releases. No manual deploy processes.

Security Baseline

HTTPS everywhere, dependency scanning, secrets management, rate limiting, and OWASP top-10 coverage included as standard.

SaaS is harder than it looks. Here's why.

We'd rather tell you this upfront than have you discover it at 2am when a tenant's data is bleeding into another tenant's view.

  • Multi-tenancy: Schema isolation vs. row-level security have very different migration, backup, and performance trade-offs. The wrong choice compounds over years.
  • Billing edge cases: Stripe is excellent but mid-cycle plan changes, proration, and failed payment retries need explicit handling or you'll have angry enterprise customers.
  • Infrastructure costs: Managed databases and cache clusters are expensive. We right-size from the start and plan scaling steps so you don't over-provision early.
  • Feature creep: The MVP must be minimal. We push back on scope additions that aren't supported by user evidence.
Ready to build?

Start your project with Anvexis Stack

From discovery to deployment — we handle the complexity so you can focus on your business.