SaaS Development

SaaS development,
built to scale

Multi-tenant SaaS with billing, auth, tenancy, and analytics engineered in from day one, by senior engineers who have shipped and scaled these platforms before.

SaaS development is what we do when a product has to earn revenue from its first paying customer. We build the application and the commercial layer around it — billing, tenancy, auth, analytics — as one system. If you are still validating the idea before committing to multi-tenancy, idea to product is the earlier-stage fit. For internal tools or single-tenant systems, custom software development covers the broader ground. For the build itself, how to build a SaaS product walks the architecture and stack, and SaaS pricing models covers how to charge for it.

Track record

SaaS, proven
in production

Multi-tenant platforms built and run across nine years, with the commercial plumbing in from the start.

Products shipped

100+

SaaS platforms across fintech and B2B, built multi-tenant and run long after beta.

Time to beta

10–20wks

Core product plus the commercial plumbing to charge for it.

CorePlumbingBeta
Senior-led

100%

Senior engineers on every build; no juniors learning on your platform.

senior squad
Production uptime

99.9%

Across the platforms we run and scale.

Start a build

Ship a multi-tenant SaaS built to scale

Core product and commercial plumbing, by senior engineers.

What we build

The SaaS we build,
by type

Not every SaaS is the same build. A vertical tool for one industry, a B2B product with per-seat billing, an MVP racing to validate — each makes different demands on tenancy, pricing, and the roadmap. Here's the range we've shipped.

01

B2B SaaS

The default shape: many companies on one codebase, each tenant's data walled off, roles and SSO that enterprise buyers expect. We build the per-seat or usage billing and the admin tooling that lets your customers run themselves.

multi-tenant · rbac
02

Vertical SaaS

Software built deep for one industry instead of wide for everyone. The moat is domain logic a horizontal tool won't touch — the compliance rules, the workflows, the edge cases specific to that field.

industry-specific
03

SaaS MVPs

The fastest honest path to a product people actually pay for. We scope hard to the one workflow that proves the model, ship it multi-tenant from commit one (retrofitting tenancy later hurts), and leave the seams to grow into. No throwaway code.

validate · launch
04

AI-native SaaS

SaaS where the AI does the work customers pay for: retrieval over their data, automation that replaces manual steps, agents that act on it. We wire the model layer into the same billing and tenancy as the rest of the product.

llm · automation
05

Marketplace SaaS

Two-sided products where supply meets demand: creators and their audiences, buyers and sellers. The listing pages are easy. The hard part is splitting payments correctly, building trust between strangers, and keeping both sides liquid at once.

multi-sided
06

Custom SaaS

When off-the-shelf SaaS almost fits, but the gap is exactly where your business runs. We build the product around your model instead of bending your model to fit someone else's tool. It's the build side of build-versus-buy — chosen when buying would cost you your edge.

bespoke
What you launch with

The commercial plumbing
built in from day one

A SaaS product is a business model expressed in software. These foundations are the substrate it runs on — retrofitting tenancy or billing into a live product is the expensive path.

01 / PRINCIPLE

Subscription billing

Plans, trials, proration, usage metering, dunning, and invoices on Stripe. This is the revenue engine, built first.

02 / PRINCIPLE

Auth and SSO

Authentication, single sign-on, and role-based access on Auth.js or WorkOS, ready for enterprise buyers.

03 / PRINCIPLE

Multi-tenant isolation

Per-tenant data isolation enforced at the database with Postgres row-level security, so a bug can't leak data across tenants.

04 / PRINCIPLE

Observability

Logging, metrics, and alerts so you see problems before your customers do — because when SaaS breaks, it breaks for everyone.

05 / PRINCIPLE

Product analytics

Activation, retention, and the metrics your go-to-market motion actually runs on.

06 / PRINCIPLE

Scale-ready architecture

A data model and infrastructure chosen against the load that's coming, not just today's beta traffic.

How we build SaaS

From tenancy model
to production beta

Senior engineers own the architecture while AI tooling removes the busywork, so the platform reaches a real beta with its foundations already solid.

01SCOPE

Discovery

We map the product, the pricing model, and the tenancy and compliance needs that shape the architecture.

product and plans
02DESIGN

Architecture

Senior engineers design the multi-tenant data model and billing up front — the decisions you live with at scale.

tenancy and billing
03DELIVERY

Build

Full-stack development on TypeScript and Node with AI in the loop, every line reviewed by people.

ai-assisted build
04ASSURANCE

Quality

Tenant-isolation tests, type safety, and CI gates so a regression never crosses a tenant boundary.

isolation and tests
05RELEASE

Ship

Deploy behind feature flags on AWS or GCP with billing, observability, and analytics live from the first beta.

ci/cd
06OPERATIONS

Operate

Usage data and a senior team on call to widen plans, roles, and scale as customers arrive.

scale with load
FAQ

SaaS development
questions

What founders and product teams ask before starting a SaaS engagement.

  • SaaS development is building a multi-tenant software product that customers access by subscription rather than installing themselves. Beyond the application itself, it means engineering the commercial plumbing — subscription billing, authentication, role-based access, per-tenant data isolation, observability, and product analytics — so the software can run as a business from day one.

  • More than one shape fits under 'SaaS.' We build B2B platforms where many companies share one multi-tenant codebase, vertical SaaS aimed deep at a single industry, early MVPs racing to validate, AI-native products where the model is the value, and two-sided marketplaces. The build differs every time — a marketplace lives or dies on payment splits and liquidity, a vertical tool on domain depth, an MVP on how fast it reaches real users. We pick the architecture to match the product, not a house template.

  • At launch a SaaS platform needs four foundations working together: subscription billing with plans and metering, authentication with SSO and role-based access, multi-tenant data isolation, and product analytics plus observability. These are foundations, not later features — retrofitting tenancy or billing into a live product is the expensive path, so we build them in from the first commit.

  • We design tenancy into the data model up front and enforce isolation at the database layer with Postgres row-level security, so one tenant can never read another's data even if application code has a bug. The right tenancy model — shared schema, schema-per-tenant, or database-per-tenant — depends on the compliance and scale needs, and we choose it deliberately rather than by default.

  • A production beta typically takes 10 to 20 weeks, depending on how much of the billing, tenancy, and integration surface is in scope for the first release. We stage delivery so the core product and its commercial plumbing reach a real beta early, then widen plans, roles, and scale as customers arrive.

  • It depends on scope, but here's a real anchor. A production beta usually runs 10 to 20 weeks, and cost tracks two things: the team size and how much billing, tenancy, and integration surface lands in the first release. An MVP is cheaper because it's deliberately narrow. An enterprise build — SSO, audit trails, deep integrations — costs more. We scope the first phase as a fixed price, so you're not signing a blank check before anyone writes code.

  • We build SaaS on TypeScript end to end — Next.js and React with Node services — Stripe for subscription billing, Auth.js or WorkOS for authentication and SSO, and Postgres with row-level security for multi-tenant data. Infrastructure is cloud-native on AWS or GCP with CI/CD and observability built in, chosen for operability and long-term maintainability.

  • Yes. We take over existing SaaS products to harden, extend, and scale them — auditing the tenancy and billing model first, since that is where most growth-stage problems hide. Whether the goal is fixing data-isolation gaps, adding enterprise SSO and RBAC, or preparing for load, we work from the current codebase rather than insisting on a rewrite.

Let's build

Build a SaaS platform
that scales with revenue

Partner with Idealogic for production-grade SaaS — billing, auth, tenancy, and analytics engineered in by senior engineers on an AI-native SDLC.