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SaaS

SaaS Product Development

From first MVP to multi-tenant production platform — we build SaaS products with the billing, roles, onboarding, and infrastructure your business model requires.

Who it is for

  • Founders validating a SaaS idea with a focused MVP
  • Teams rebuilding legacy software into a modern subscription product
  • B2B operators adding self-serve portals and admin tooling
  • Companies scaling from prototype to production-grade architecture

What Whitestork delivers

  • Product discovery and phased roadmap
  • UI/UX for onboarding, core workflows, and admin
  • Multi-tenant backend, auth, and role-based access
  • Billing, subscriptions, and usage metering where needed
  • Cloud deployment, monitoring, and launch QA

Typical use cases

B2B workflow and operations platforms
Analytics and reporting dashboards
Marketplace and vendor management portals
Internal tools productized for external customers
API-first platforms with partner integrations

Process & timeline

Discovery & scope

1–2 weeks

Define MVP, personas, pricing model, and technical constraints.

Design

2–4 weeks

Flows, wireframes, and UI for core activation paths.

MVP build

4–12 weeks

Frontend, backend, billing hooks, and essential integrations.

Launch & grow

Ongoing

Production hardening, analytics, and feature iteration.

Trust & security notes

  • You retain code ownership and repository access
  • Environment separation for dev, staging, and production
  • Security review on auth, billing, and data isolation
Trust & Security

Built for business-critical systems

Clear ownership, responsible AI practices, and production discipline — so you can ship with confidence.

Full security overview

Code ownership

You own the code, repositories, and deliverables we build for your project. We transfer access at agreed milestones and provide documentation for handoff.

NDA availability

We sign NDAs before sharing sensitive product, customer, or business data. Mutual NDAs are standard for enterprise and regulated engagements.

AI data handling

We use your data only for agreed project purposes. LLM workflows can run with private endpoints, scoped API keys, and minimal retention where your stack requires it.

Access control

Least-privilege access to repos, cloud accounts, and third-party tools. Shared credentials are avoided; we prefer SSO, role-based access, and audit logs.

QA before launch

Functional, regression, and cross-browser QA on critical paths before production release. Security-sensitive flows get additional review.

Monitoring & support

We set up error tracking, uptime checks, and logging appropriate to your stack. Post-launch support options include retainer blocks or on-demand fixes.

Post-launch maintenance

Dependency updates, performance tuning, and feature iteration can continue on a retainer or sprint basis so your product stays healthy as usage grows.

Cloud & security practices

Infrastructure follows cloud best practices: encrypted transit and storage, secrets management, backups, and environment separation for dev/staging/production.

Frequently Asked Questions

Ready to discuss development?

Book a strategy call. We will review your goals and recommend a practical scope and timeline.

Book a Strategy Call