SAAS

From product idea to a SaaS people can subscribe to.

Multi-tenant architecture, accounts and roles, billing, dashboards and the AI features that make the product worth paying for, delivered in releases you can show to customers.

AI SaaS Development

THE CHALLENGE

What usually stalls a first SaaS build

  • A prototype that cannot support a second customer.
  • Authentication, roles and permissions left until too late.
  • Billing bolted on after pricing has already changed twice.
  • AI features that cost more per user than the subscription.
  • No usage data, so nobody knows which features matter.

OUR APPROACH

How we build SaaS products

01

Architecture before features

Tenancy, data isolation and permissions are decided at the start, not retrofitted.

02

Ship a usable first release

A narrow product that solves one problem end to end, in front of real users early.

03

Instrument everything

Usage, cost and errors are visible from day one so decisions are based on data.

WHAT WE BUILD

What we build

  • Multi-tenant web applications
  • Authentication, roles and team accounts
  • Subscription billing and plan limits
  • Admin and customer dashboards
  • AI features with usage metering
  • Public APIs and webhooks
AI SaaS Development in practice

KEY FEATURES

What is included in every engagement.

Multi-tenancy

Strict data isolation between customer accounts.

Billing

Plans, trials, upgrades and invoicing through a payment provider.

Roles & permissions

Owners, admins and members with enforced access rules.

Usage metering

AI and API usage tracked per account and per plan.

Reliability

Monitoring, logging, backups and a deployment pipeline.

Iteration

A release rhythm that keeps shipping after launch.

TECHNOLOGY

Tools we use for this work.

  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Stripe
  • OpenAI API

PROCESS

How the project runs.

  1. 01Discovery call and technical review
  2. 02Scope, timeline and fixed proposal
  3. 03Design and build in reviewable stages
  4. 04Testing, launch and handover
  5. 05Support and continued improvement

FAQ

AI SaaS Development questions.

Yes. We review what exists, keep the parts worth keeping and plan the path to a production architecture.

Ready to talk about your project?

Tell us what you're building. We'll help you figure out the right way to build it.