SaaS Product Engineering
The architecture SaaS actually requires.
Tenancy, entitlements, metering, and the admin tooling your support team will live in. These are the decisions that are cheap now and close to unfixable after your first hundred customers.
The problem we solve
What actually goes wrong.
SaaS looks like a normal web application until the second customer arrives. Then tenancy, per-plan entitlements, usage metering, and a billing lifecycle with more edge cases than the happy path all turn out to be load-bearing.
Billing is where this bites hardest. Upgrades mid-cycle, downgrades with credit, failed payments, dunning, trials that convert and trials that do not, tax by jurisdiction — each is a small decision, and each becomes a support ticket if it was not made deliberately.
The other blind spot is internal tooling. Your support team needs to see a customer’s state, impersonate safely, and fix things without a developer running database queries. Products that skip this pay for it in support cost forever.
What's included
Activity, deliverable, and how long it takes.
| Activity | Deliverable | Typical duration |
|---|---|---|
| Tenancy model | Isolation strategy, data partitioning, and the migration path if it changes | 1–2 weeks |
| Entitlements | Plan and feature-flag model, enforcement points, upgrade and downgrade paths | 1–2 weeks |
| Subscription billing | Provider integration, webhook handling, proration, dunning, invoicing | 2–4 weeks |
| Usage metering | Event capture, aggregation, quota enforcement, overage handling | Scope-dependent |
| Admin console | Customer state, safe impersonation, audited manual overrides | 2–3 weeks |
| Product analytics | Activation and retention instrumentation wired in from the start | Runs with build |
How we deliver it
Tenancy architecture, billing edge cases, and churn-relevant tooling.
- 01
Choose tenancy against your real constraints
Shared schema, schema-per-tenant, or database-per-tenant are different answers to different problems — compliance, noisy neighbours, and per-customer restore all pull differently. We state the trade-off and the migration path if you outgrow the choice.
- 02
Model entitlements separately from plans
Plans are commercial packaging and they change often. Entitlements are what the code enforces. Keeping them separate means marketing can repackage without a deployment.
- 03
Design the billing edge cases explicitly
We write down the intended behaviour for proration, failed payment, dunning, and cancellation before implementing any of it. These are business decisions, not engineering defaults.
- 04
Treat webhooks as unreliable
Payment provider webhooks arrive late, out of order, and more than once. Handlers are idempotent and reconciled against the provider, because a missed event is silently wrong revenue.
- 05
Build the admin console as a first-class product
Support staff are users too. Impersonation is audited, manual overrides leave a trail, and nobody needs database access to answer a ticket.
Technology & tooling
What we build this with.
- Application
- Next.js
- NestJS
- TypeScript
- Data
- PostgreSQL
- Redis
- ClickHouse
- Billing
- Razorpay
- Stripe
- Operations
- Feature flags
- Audit logging
- Product analytics
Typical engagement
What this usually looks like.
- Team shape
- A delivery manager, two to four engineers, QA, and design input — composition agreed per engagement.
- Duration
- Typically four to nine months to a commercially usable release.
- Engagement models that suit it
- Dedicated Team / Pod
- Fixed-Scope Project
Questions we get asked
Answered properly, not deflected.
Which tenancy model should we use?
Shared schema with a tenant key covers most B2B SaaS and is the cheapest to operate. Regulated data, per-customer restore requirements, or very uneven load push towards stronger isolation. We recommend one, state what it costs, and document how to migrate if you outgrow it.
Should we build billing or use a provider?
Use a provider. Building subscription billing means owning proration, dunning, tax, and compliance forever. We integrate Razorpay or Stripe and build the parts that are genuinely yours — entitlements, metering, and the upgrade experience.
How do you handle usage-based pricing?
Event capture separated from aggregation, so you can change how you price without losing history. Quotas enforced at a defined point, with the overage behaviour agreed with you rather than assumed.
Can you work on an existing SaaS product?
Yes. That often starts with an assessment of the tenancy and billing model, since those are what constrain everything else. We will tell you plainly if something needs replacing rather than extending.
What about SOC 2 or ISO 27001 readiness?
We can build to the technical controls those frameworks expect — audit logging, access control, encryption, change management. We are not an auditor and we do not hold those certifications ourselves; the certification process is separate work with a qualified firm.
Other capabilities
The rest of what Laxora builds.
Have a saas product engineering requirement?
Tell us what you are trying to achieve and what constraints you are working under. We will come back within one business day with an honest view of scope and approach.
- First response within one business day
- NDA in place before any disclosure
- Scoped proposal, not a generic quote