Product Engineering
From the conversation about why, through architecture and build, to the version that is still maintainable in year three.
SOLUTION · SAAS
SaaS Platform Development
A product you can sell, with billing, tenancy, and access control already solved.
TARGET PROFILE
Who this architecture is engineered for.
Built specifically for operational teams experiencing structural friction at scale.
The profile
For a company that has proven demand for something it currently delivers as a service, and now needs to sell it as a product — where the first paying customer is real, the second one wants their own login, and nobody has yet decided what happens when the third asks for single sign-on.
The core bottleneck
The part of a subscription product that customers judge is the part your team is least likely to have built before. Tenancy decides whether customer two costs a week of work or an afternoon. Billing decides whether a plan change mid-month is a calculation or an argument. Roles decide whether an enterprise buyer's security review ends in a signature or a list. Each of these is difficult to change later, because by the time it matters you have customers whose data is arranged according to the decision you made when there were none. The failure is rarely dramatic — it looks like a roadmap where three quarters of the engineering time goes to onboarding requests, contract exceptions, and permission edge cases that a different early decision would have made unnecessary.
SYSTEM MODULES
What we build and integrate.
Every component is engineered for multi-tenant security, auditability, and zero-downtime maintenance.
A tenancy model chosen against your actual isolation and compliance requirements, not defaulted to
Subscription billing with plan changes, proration, failed payments, and dunning handled as normal events
Role and permission structures that survive an enterprise security review
Self-service signup, onboarding, and invitation flows that do not require your team
An administrative surface for support staff that does not mean database access
Usage metering where the pricing model depends on it, reconciled against what is billed
Audit logging of who changed what, available to the customer rather than only to you
ARCHITECTURE
System composition & topology.
How the core modules, data boundaries, and integrations connect in production.
Node 01
Identity and access
Authentication, session handling, invitations, and eventually single sign-on. Roles and permissions evaluated in one place rather than checked ad hoc per screen.
Connects to
- application
- admin
- audit
Node 02
Tenancy boundary
The rule that decides which data belongs to which customer, enforced at the data layer so a missing filter in application code cannot leak across it.
Connects to
- application
- data
- billing
Node 03
Product application
The part customers actually came for. Everything else exists so that this can be sold, operated, and supported without manual work.
Connects to
- data
- usage
Node 04
Subscriptions and billing
Plans, trials, upgrades, proration, invoices, and payment failure handling, with the payment provider as the source of truth for money.
Connects to
- identity
- usage
- audit
Node 05
Usage metering
Recording the events pricing depends on, aggregated per period and reconciled against invoices, so a billing question has an answer.
Connects to
- billing
- data
Node 06
Support and administration
Tools for your team to impersonate, adjust, and diagnose safely, with every action recorded. The alternative is direct database access, which is how mistakes become permanent.
Connects to
- application
- audit
Node 07
Application data
The database, with tenancy enforced by constraint and policy rather than convention, and a migration path that does not require taking customers offline.
Connects to
- audit
Node 08
Audit trail
An append-only record of significant changes, exposed to customers in their own account. This is what an enterprise security questionnaire is actually asking about.
Connects to
- data
TECHNOLOGY DEPTH
Technologies powering SaaS Platform Development.
Standardized architecture frameworks and data components integrated in this solution.
Frontend
- Next.js
- React
- TypeScript
Backend
- Node.js
- .NET
Data
- PostgreSQL
- Redis
Cloud
- Docker
- Vercel
QUESTIONS & ANSWERS
Questions regarding saas platform development.
Direct answers to common technical and engagement questions.
Usually not. A shared database with tenancy enforced at the row level is simpler to operate, cheaper, and easier to migrate, and it covers most requirements. A database per customer is the right answer when a specific contract or regulation demands physical separation — and it is worth knowing that it makes every future schema change an exercise in fleet management.
You can, and it is often sensible for the first few customers who are invoiced manually anyway. What we would not defer is the tenancy and permission model, because those decide how the data is arranged. Billing sits on top of that arrangement; changing it later is work, but it is contained work.
By keeping identity in one place from the start, so adding an enterprise protocol is a new provider behind the same interface rather than a second authentication path. It is the most common reason an otherwise ready deal stalls, and it is much cheaper to accommodate before there are customers than after.
It needs metering built as its own thing — recorded events, aggregation per period, and reconciliation against what was invoiced. Inferring usage from application tables afterwards is where billing disputes come from, because the numbers can be derived two ways and they will disagree.
Have something ambitious to build?
Tell us what you're working on. We'll tell you honestly whether we're the right team for it.