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SaaS software developmentFrom first version to the one that scales.

SaaS products have to be built twice: once to prove the idea, and again to carry real customers. We help you do both without throwing the first one away.

Talk through a SaaS product

What gets in the way in SaaS.

  • The MVP was not built to last

    What got you to first customers starts to slow you down as usage and the team grow.

  • The platform basics are deceptively hard

    Multi-tenancy, billing, roles and permissions touch everything and are costly to retrofit.

  • Sign-ups do not become active users

    People try the product, do not reach its value quickly enough and never return.

  • Customers now expect AI

    Adding intelligence that is genuinely useful, and affordable to run, is harder than adding a chat box.

What gets built for SaaS.

Common products in this sector, and the discipline that leads each one.

  • MVP to first release

    A focused first version designed to be extended, not replaced.

    Web

  • Platform re-architecture

    Moving a growing product onto foundations that will hold.

    Web

  • Design systems

    Shared components that keep a product coherent as teams multiply.

    Product Design

  • AI features

    Intelligence built into the workflows your customers already use.

    AI & ML

  • Mobile companions

    The parts of your product people need when they are away from a desk.

    Mobile

What to weigh before you build.

General guidance, not legal advice. The specifics for your organisation are settled with you during Discover.

  • Decide how tenants are separated on day one

    Shared database, separate schemas or separate instances: each has a cost and a ceiling. It is the hardest decision to reverse later.

  • Billing is a product surface

    Plans, trials, upgrades, proration and failed payments all need screens and logic. Use a billing provider, but expect to design around it.

  • Enterprise customers arrive with a checklist

    Single sign-on, audit logs, roles and data export are asked for long before they are glamorous. Leaving room for them saves a rebuild.

What each discipline brings to SaaS.

Frontend
  • React
  • Next.js
  • TypeScript
Backend
  • Node.js
  • NestJS
  • .NET
AI / ML
  • Python
  • AI APIs
  • Machine learning models
  • Computer vision
Databases
  • PostgreSQL
  • MySQL
  • MongoDB
Cloud & Infrastructure
  • AWS
  • Azure
  • GCP
  • Firebase
  • Supabase
How we choose technologyHow a project runs

Questions about SaaS software.

Can you build our MVP and then keep developing it?

Yes. We build the first version on foundations meant to be extended, so reaching real customers does not mean starting again. The same team carries it forward.

Our MVP is struggling to scale. Do we need a rewrite?

Rarely a full one. We read the code and the data model, find what is actually limiting you, and replace those parts in steps while the product stays live.

How should we add AI to a SaaS product?

Inside a workflow customers already use, with a way to measure whether it helps and a clear view of what each request costs you. A chat box bolted on the side is seldom the best first feature.

Related work.

All work