Multi-tenancy, authentication, billing, metering, admin tooling and an API worth publishing. We build software products that can take money on day one — and keep working when the tenant count stops being a rounding error.
Anyone can build the screens in the demo. What separates a product from a prototype is what happens on the second tenant, the failed card, the enterprise buyer who wants single sign-on, the customer who exports everything and leaves, and the support ticket at 11pm that nobody can answer because there is no admin tool.
Founders and operating companies turning a proven internal process into a product other people pay for. We take it from concept to a first release that real customers can subscribe to, not a pitch deck with a mock.
Software that found customers before it found its architecture. Slow queries, tangled permissions, billing that drifts from reality, and a deploy everyone dreads. We stabilize first, then build again.
Most SaaS builds are scoped around the features and quietly ignore everything that decides whether the product survives contact with paying customers: dunning, plan migrations, refunds, incident response, support escalations, and the real cost of changing a schema once tenants depend on it. We plan for those in architecture rather than discovering them in month four, because they are what turn a working demo into a business you can actually operate.
Tenancy is the decision you cannot cheaply reverse. A shared schema with row-level security is right for most products and keeps operations sane. A schema or database per tenant earns its complexity when buyers demand hard isolation, regional residency or independent restore. We choose deliberately, enforce isolation at the database rather than trusting every future query, and test that a tenant cannot see another tenant's rows even when a developer forgets a filter.
Real accounts have organizations, invitations, seat limits, role hierarchies and people who belong to more than one workspace. We model that properly at the start, because retrofitting an organization concept into a product built around individual users is one of the most expensive migrations in SaaS. Enterprise requirements — single sign-on, domain capture, session policy, an audit trail that answers who changed what — are designed for even when they ship later.
Billing is where products lose money quietly. We build the whole lifecycle: trials, upgrades, downgrades with proration, seat changes mid-cycle, failed payments and retry sequences, cancellations and reactivations. Usage metering is event-sourced so a number on an invoice can be traced back to the actions that produced it — which matters the first time a customer disputes one. Webhooks are handled idempotently, because payment providers deliver the same event twice more often than anyone expects.
Your support team needs to see what a customer sees, fix a stuck record, extend a trial, and reissue an invoice without asking an engineer. We build that console as a first-class part of the product, with permissioned impersonation and every privileged action logged. Onboarding gets the same seriousness: a new tenant should reach the moment the product becomes obviously useful without a call, with sample data, guided setup, and import paths from whatever they are leaving behind.
An API is a product surface, and it is increasingly the surface that decides whether a buyer can adopt you at all. We design the contract before implementation: resources, error shapes, pagination, rate limits, scoped keys and a versioning policy that lets you evolve without breaking integrations. Outbound webhooks with signing and retry let your customers automate against you, which is the cheapest retention feature most products never build.
Inside the product, as something customers pay for. And around the product, as the operations layer that runs the company. Both depend on the same foundations: clean tenancy, real permissions, and events you can trust.
In-product AI has one non-negotiable requirement: it must respect tenancy and permissions exactly as the rest of the application does. An assistant that retrieves across tenant boundaries is not a bug, it is a breach. We build retrieval scoped per tenant and per role, with the same enforcement path as every other query, plus token and cost metering so an AI feature can be priced instead of absorbed.
Around the product, the automation layer handles the operational work that scales badly with headcount: trial nurture triggered by real activation events, support triage that classifies and routes before a person reads it, churn signals surfaced from usage rather than intuition, and onboarding sequences that adapt to what a tenant has actually done. Because the metering and event streams already exist, these workflows read from the same source of truth your invoices do.
Every ambiguous screen becomes a ticket, and tickets grow with the customer count while your team does not. So we treat support load as a constraint on the build: error messages that say what to do next, an activity log the customer can read without asking, self-serve seat and invoice changes, and a working export.
Nobody ever requests these features by name. They are cheaper to design out at the start than to staff around for the life of the product.
We work out which single workflow is worth paying for, who the first ten customers are, and what has to exist for them to subscribe. Everything else moves to phase two, in writing.
30-min call · roadmap deliveredTenancy, auth, billing and admin tooling land alongside the first real feature, not after it. Preview environments on every change, and a release you can put in front of paying customers.
Typically 8–16 weeksMonitoring, cost control, performance work as tenants grow, and a rolling roadmap. This is where in-product AI and lifecycle automation are added, on foundations that can carry them.
Ongoing partnershipYes. The parts of SaaS that are invisible from the outside are the ones that decide whether the product holds: dunning, refunds, plan migrations, support escalations, incident response and the cost of a schema change once real tenants depend on it. We design for those during architecture rather than bolting them on after launch, and we can stay on to run them with you.
The isolation model is chosen deliberately, because changing it later is painful. A shared schema with row-level security suits most products and keeps operations simple. A schema or database per tenant makes sense when customers demand hard isolation, separate residency or independent restore. We decide with you in architecture and write down why.
Often. We start with a review of the code, the data model, the billing integration and the infrastructure, and report what is stable, what is risky and what is quietly expensive. Products that grew fast usually need a short stabilization phase — tests around billing and permissions, observability, and a safe migration path — before new features are worth building.
For a focused first release, typically eight to sixteen weeks. The fastest route is a narrow slice: one clearly valuable workflow, real authentication, real billing and real admin tooling, shipped to a small group of paying customers. Broad but shallow products take longer to build and much longer to learn from.
We help you make it buildable. Choosing what to charge for is your commercial call, but per-seat, per-usage, tiered and hybrid models each carry different engineering consequences for metering, proration and enforcement. We show you those consequences before you commit, so the pricing page and the code agree.
In two places. Inside the product, as features your customers pay for: assistants grounded in tenant data, automated triage, generated summaries and drafts. And around it, as the operations layer that runs your business: trial nurture, support routing, churn signals and internal reporting. Both need the same foundations of clean tenancy, permissions and metering.
Thirty minutes, no charge. We will pressure-test the sellable slice, name the foundations you cannot skip, and send you a phased plan you could hand to any team.
Roadmap delivered · whether or not you build with us