We partner with founders and product teams to design, build, and scale SaaS products. From initial architecture and multi-tenancy strategy to billing, onboarding, and growth infrastructure, we help you ship faster without accumulating technical debt.
Early on, every shortcut is rational: one shared database, billing wired up by hand, every release going straight to everyone. It holds until the tenth customer asks for an export, the fiftieth asks for single sign-on, and a mispriced plan turns out to be funding somebody's data warehouse.
We build SaaS with those questions answered first: tenant isolation you can walk a security reviewer through, plans and metering that follow your pricing instead of constraining it, and releases that reach five percent of traffic before they reach everybody.
8–12 wks
From scoping to a launch customers can pay for
Per tenant
Isolation and limits enforced in the data layer
Metered
Usage tracked so pricing can change without a migration
5% first
Releases roll out progressively, never all at once
Six areas that decide whether a product scales cleanly or spends its second year paying down decisions made in its first.
The drop between signing up and the moment the product proves itself, which is where most trials are lost.
Consumption metered per tenant, so going over a plan becomes revenue instead of an unnoticed cost.
Releases reach a small slice of tenants first, which keeps the blast radius of a bad deploy small.
The smallest product that proves the idea with real money attached, built on foundations you will not have to tear out at the first sign of traction.
The decision everything else inherits: how tenants are separated, how that separation is enforced, and how one noisy account stops affecting everyone else.
Subscriptions, trials, and usage that reconcile with your accounting, including the unglamorous cases: proration, failed payments, downgrades, and refunds.
Turning signups into habits. Guided setup, sensible defaults, and instrumentation that shows exactly which step loses people before they see the value.
Shipping often without shipping outages. Features go live behind flags, reach a slice of tenants first, and roll back on their own if the numbers move the wrong way.
Keeping the platform quick as data grows, and knowing what each tenant costs to serve before that number quietly eats your gross margin.
Most products reach a paid launch in eight to twelve weeks, then settle into a steady release cadence with flags and canaries doing the risky part.
1–2 weeks
We agree the one workflow worth launching with, write down the non-goals, and settle how you will charge, because pricing decides the data model more often than teams expect.
2–3 weeks
Signup, tenancy, billing, and deploys land as working plumbing before feature work starts, so nothing later has to be retrofitted around a missing tenant boundary.
4–6 weeks
The product itself, then launch readiness: onboarding that carries a stranger to first value, a load test, and a security review before self-serve signup opens.
Ongoing
A release cadence with flags and canaries, funnel and churn instrumentation feeding what gets built next, and regular reviews of performance and cost per tenant.
A product real customers can buy without a human in the loop
Tenant isolation you can walk an enterprise buyer through
Pricing you can change without a migration or a rewrite
A release process where shipping on a Friday is not a gamble
The tools we reach for on SaaS Products work, picked for the problem in front of us and for the team who inherits the code.
The part customers judge you on
Multi-tenant from the first migration
Billing, identity and lifecycle, bought not built
Ship on a Friday without flinching
Eight to twelve weeks for most products, assuming one clear workflow and a decision-maker available weekly. What moves that date is scope, not engineering speed: teams that launch on time picked one job the product does well and wrote down everything it deliberately does not do yet. We would rather ship a narrow product people pay for than a broad one people trial and forget.