SaaS that scales from day one.
AI writes the boilerplate while we architect the system. Auth, billing, multi-tenancy, APIs — everything production-ready from the start. Your SaaS ships in weeks, not fiscal quarters.
- Auth, Billing & SubscriptionsLogin flows, Stripe integration, plan management — ready to collect revenue from day one.
- Admin Dashboards & AnalyticsReal-time metrics, user management, and operational insights — so you always know what’s happening.
- REST & GraphQL APIsClean, documented, versioned APIs that your frontend, mobile app, and partners can build on.
- Multi-tenant ArchitectureOne codebase, many customers. Data isolation, custom branding, role-based access — built in from the start.
- AI-accelerated DevelopmentWe use AI to write the boilerplate and catch bugs early — so we spend our time on architecture, not plumbing.
SaaS development: who it's a good fit for
A SaaS is more than a web app with a pay button. Accounts, subscriptions, permissions, data from many customers: all of it has to work together from day one. These are the typical situations clients bring to us:
- Founders with a product idea
You want to bring a software product to market and need a team that thinks product and technology together. We build the first version so that paying customers can get started on it.
- An internal tool that can do more
A tool has proven itself inside your company, and now you want to offer it to others as a subscription. That calls for multi-tenancy, billing and a clean permissions model.
- An existing product that needs to grow
New features, AI in the product or a connection to ChatGPT and Claude. We build on what's there, or lay a new foundation where the old one can no longer carry the weight.
- Expertise you want to sell as software
Consultancies and agencies turn their know-how into a product. That's how our own SaaS, GeoUp, came about too, out of our work on AI visibility.
What goes into your SaaS
We build the essentials every SaaS needs from proven components. The time goes into what makes your product stand out.
Auth, Billing & Subscriptions
Sign-in by email, one-time code or Google account, plus teams with roles and invitations. Subscriptions, trials, upgrades and invoices run through Stripe. Whether a subscription, usage-based pricing or freemium is the right fit for you, we work out together upfront. Our article on revenue models for platforms gives you an overview.
Admin Dashboards & Analytics
You see what's happening in your product: new users, active subscriptions, revenue and usage. In the admin area you manage accounts, set permissions and help customers with their support requests. Your customers get their own reports too, if that's what your product lives on.
REST & GraphQL APIs
Clean, documented interfaces for your frontend, mobile apps and partners. If you want, we add an MCP server that lets AI assistants like ChatGPT and Claude work directly with your product. Our article Your platform directly in ChatGPT and Claude explains how that works.
Multi-tenant Architecture
One codebase, many customers, and each of them sees only their own data. Tenant separation is part of the data model from the start, not retrofitted later. If your business model calls for it, customers get their own branding.
AI-accelerated Development
AI takes care of the routine: repetitive code, tests and standard components. Architecture, data model and every decision stay with experienced developers. That's how two senior developers built the first version of GeoUp in two months, as told in How we built GeoUp.
How we build your SaaS, step by step
Our aim: a project traditionally planned for six months, delivered in eight weeks. The exact timeframe depends on the scope. Here's what a typical MVP looks like:
Concept & Architecture
Human · Weeks 1–2We pin down the target audience, the core workflow and the revenue model. Then architecture, data model and tech stack are settled before the first line of code is written. Twenty years of experience go into this step.
Clickable Prototype
Human + AI · Weeks 2–3You click through your product before it's built. Feedback from customers or investors goes straight into the plan.
AI-powered Development
Human + AI · Weeks 3–7We build the MVP in short iterations. Every week you see the progress on a staging environment and can weigh in.
Review & Testing
Human · ongoingSenior developers review, test and approve every result. Before launch, real users get hands-on with your product.
Launch & Growth
Human + AI · from week 8Go live, measure, iterate. More features follow in stages, prioritized by what your users actually need. Our article From idea to finished platform walks through the whole journey.
What does SaaS development cost? Here's what it depends on
The cost follows the effort. And the effort comes down mainly to these factors:
- MVP scopeOne clear core workflow goes live faster than ten half-finished features.
- Roles and permissionsIndividual users, teams, admins, tenants: each role brings its own views and rules.
- BillingA simple subscription is quick to connect. Usage-based pricing, trials or payouts to partners take more work.
- IntegrationsCRM, accounting, email delivery, AI providers or an MCP server for ChatGPT and Claude.
- AI in the productAssistants, analytics or text features inside the SaaS itself, including the running costs per request.
- DesignA custom design system, or a lean start on a proven foundation.
Our AI Project Estimator gives you a first estimate for your project in a few minutes. How development and running costs add up is covered in our guide What does your own platform cost?
SaaS from our workshop
Frequently asked questions about SaaS development
How long does it take to develop a SaaS MVP?
That depends on the scope. Our aim is to deliver in eight weeks a project that would traditionally take six months. Two senior developers built the first version of GeoUp in two months.
How much does it cost to have a SaaS built?
That depends mainly on scope, roles, billing and integrations. Our AI Project Estimator gives you a first estimate for your project in a few minutes.
Do you let AI write the code?
AI handles routine work like standard components and tests. Architecture, data model and all decisions stay with experienced developers, and every result is reviewed before it goes live.
What technology do you use?
We choose the technology to fit the product, usually Next.js and TypeScript with PostgreSQL or MySQL, Redis for real-time features and Stripe for payments.
Which revenue model is right for my SaaS?
Subscription, usage-based pricing, freemium or a combination: it depends on how your customers experience the value. We settle this in the concept phase so that billing fits from the start.
Can my SaaS work with ChatGPT and Claude?
Yes. Through an MCP server, AI assistants can call your product's features directly, signed in with your customers' accounts and limited to the data you choose to share.
What happens after launch?
If you like, we keep developing your SaaS in stages, prioritized by what your users need. New features go through the same process of concept, development and review.
