Custom SaaS
Software & App
Development

• Your MVP was built to validate, not to scale

  Spaghetti architecture under a polished UI. When user count or feature count doubles, everything slows or breaks — and the rewrite clock starts.

• Multi-tenancy bolted on later breaks everything

  Data isolation added as an afterthought means schema migrations, shared-table risks, and months of engineering to retrofit what should have been day-one design.

• No-code platforms own your ceiling

  Bubble, Webflow, and Retool get you to launch fast — then lock you into their pricing model, their data schema, and their scalability ceiling as you grow.

• Billing complexity kills growth velocity

  Stripe is deceptively hard. Plan gating, usage metering, proration, dunning, and trial flows consume weeks of engineering time if billing is an afterthought.

• Your team is buried in ops, not features

  Without proper observability, CI/CD, and infrastructure automation, dev time drains into deployments, hotfixes, and environment debugging instead of product.

• Churn analysis is always manual and always late

  Without AI-native signals wired into the data model, churn is spotted in the spreadsheet after the customer has already cancelled.

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1. 01

   Discovery sprint

   Map user personas, data model, pricing tiers, multi-tenancy strategy, and technical constraints. Delivers a written architecture RFC and a fixed-scope estimate.

2. 02

   Architecture design

   Multi-tenant schema, auth strategy, billing configuration, CI/CD pipeline, and observability stack designed before a line of product code is written.

3. 03

   Core build

   Onboarding flows, role-based dashboards, subscription billing, admin panel, and AI feature integration shipped in tight 2-week sprints with stakeholder demos.

4. 04

   Beta launch

   Private beta with target customers, structured feedback collection, usage analytics review, and rapid iteration — all within the same engineering team.

5. 05

   Scale and harden

   Performance audit, security penetration test, load testing, SOC 2 evidence collection, and feature expansion based on beta signal.

6. 06

   Steady-state SLA

   Dedicated engineering team, 24/7 monitoring, incident response, and quarterly roadmap reviews — so the team that built it stays accountable for it.

• Discovery sprint

  2–4 week fixed-scope sprint that delivers a working prototype, architecture RFC, and written estimate for the full build. Best for new SaaS ideas that need a real artefact before committing budget.

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• Dedicated product team

  A senior in-house pod (PM, designers, full-stack, AI, QA, DevOps) embedded with your team. Best for ongoing scope, multi-quarter roadmaps, or taking over from a team that outgrew its first build.

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• Code audit and takeover

  Inherit an existing SaaS codebase, stabilise the highest-risk areas in the first sprint, then extend on a foundation you trust. Best for rescues, second-version rebuilds, and post-acquisition consolidation.

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• What makes custom SaaS development different from using no-code tools?+

  No-code tools are excellent for validating an idea in days — but they come with a ceiling. Multi-tenancy, custom billing logic, AI integration, and enterprise-grade security all hit that ceiling fast. Custom development gives you a codebase you own, an architecture that scales, and no vendor choking your growth or your margins.

• How long does it take to build a SaaS MVP?+

  A focused MVP — core user flows, auth, Stripe billing, basic admin panel — typically takes 10–14 weeks from a locked spec. The discovery sprint (2–3 weeks before that) is where we harden the spec, so the build itself runs without scope creep. More complex platforms with multi-tenant data isolation, AI features, and integrations run 16–24 weeks.

• What does a custom SaaS build cost?+

  A lean MVP engagement typically starts around $60–80k. A full-featured multi-tenant SaaS with billing, AI, admin tooling, and DevOps runs $120–200k and up, depending on scope. We scope everything transparently in the discovery sprint before any build commitment, so you always know what you're paying for before work begins.

• Can you work with our existing codebase or technical team?+

  Yes. We do code audits and takeovers regularly — stabilise the riskiest parts first, then extend. We also embed alongside existing engineering teams and are comfortable with any modern stack. We won't rewrite what doesn't need rewriting.

• How do you handle multi-tenant data isolation?+

  We design tenancy into the data model from the first sprint — either row-level security (one database, per-tenant policies) or schema-per-tenant, depending on your isolation requirements and scale. Data isolation is not something we retrofit; it is a first-class architectural decision made before product code is written.

• Do you handle Stripe billing, subscriptions, and plan management?+

  Yes — Stripe and Paddle integrations are core to almost every SaaS engagement. We build the full subscription lifecycle: plan gating, seat-based or usage-based billing, free trials, upgrade and downgrade flows, proration, dunning, and MRR/ARR reporting dashboards. Billing is treated as a product feature, not a plugin.

• What happens after launch — do you offer maintenance and support?+

  We offer a post-launch SLA that keeps the team who built the platform accountable for it. That includes 24/7 monitoring, incident response, performance optimisation, and quarterly roadmap sessions. You can also hand off to your in-house team — we document everything and run a structured knowledge transfer before we step back.