SaaS platforms,
built to compound.
Multi-tenant SaaS engineered for scale, retention and predictable unit economics, from the first paying customer through the version your business is valued on.
SaaS is not a product architecture. It's a business model with an unusually strict architecture attached, tenancy, entitlements, telemetry, billing, retention. Get those five right and everything else compounds.
Foundations
Tenancy, identity, entitlements and telemetry designed from day one, because retrofitting them into a live SaaS is where most platforms quietly stall.
Multi-tenancy is the load-bearing decision. Pool, silo or hybrid, we pick per data class and workload, not as a religion. Identity and entitlements live in one place, not scattered across features. Telemetry captures the events a Head of Product will ask about six months later.
Get these four right and the rest of the platform stops fighting itself. Get them wrong and every quarter after launch pays interest on the debt.
Tenancy is the load-bearing decision. Everything else is downstream.
Growth
Onboarding, activation and expansion engineered as product surfaces, not as growth-hacks bolted on to a features team.
Activation is a product problem, not a marketing one. We instrument the moments where users find value, where they stall, and where they churn, then design against them the same way we design any product surface: prototypes, tests, evals.
Expansion revenue is where SaaS unit economics are made or broken. Pricing surfaces, entitlements, seats, usage, engineered so upgrades feel earned, not extracted.
Reliability & scale
Availability, latency and cost engineered before the traction lands, because a SaaS platform that falls over on the day it trends never recovers the brand.
SLOs per surface, real load tests against real data, autoscaling that's honest, and cost instrumented per tenant and per feature. When a load pattern surprises us, it surprises us in observability, not in the postmortem.
For serious customers we ship regional isolation, private connectivity and SOC-2-aligned controls as engineered artefacts, not as a footnote in the enterprise contract.
Operate
Post-launch operations, quarterly release adoption and continuous improvement, treated as engineering, not as a support hand-off.
Reliability, cost, adoption and churn monitored on the same rhythm as feature delivery. Runbooks, on-call and incident post-mortems designed against the SaaS-specific failure modes: tenant isolation breaks, quota exhaustion, usage-billing drift.
The team who runs the platform after we scope down is the team we hired and coached alongside you from day one. That's how a SaaS platform stays healthy in year three.
Toolkit
Framework, platform and vendor selection is driven by the shape of the work and the team who'll own it, not by whichever ecosystem is loudest this year. The list below is representative, not prescriptive.
- Front-end
- Next.js · React · TypeScript · Tailwind
- Back-end
- Node.js · Python · Go · .NET
- Data
- Postgres · Snowflake · Kafka · Redis
- Auth & billing
- Auth0 · Clerk · Stripe · Metronome
- Platform
- Kubernetes · Terraform · AWS · Vercel · Datadog
Selected work
What clients ask us first
01Pool, silo or hybrid tenancy, how do you choose?
Per data class and workload, not as a religion. Regulated data or heavy enterprise contracts pull toward silo or hybrid; large SMB or self-serve workloads lean pooled with strong logical isolation. We size the decision against your customer segment, security posture and unit economics, and we make it swappable per surface where it matters.
02How do you handle enterprise readiness (SSO, SOC 2, VPC, audit)?
As engineered artefacts, not as a checklist ticked before an audit. SSO with SAML/OIDC, SCIM provisioning, audit logging, private connectivity, encryption and evidence trails are designed alongside product surfaces. That's usually the difference between an enterprise motion that lands and one that stalls at security review.
03How do you build for pricing and packaging changes?
By separating what customers see (plans, add-ons, feature flags) from what the system enforces (entitlements, quotas, metering), and by making both testable in production. Pricing changes ship as product releases with A/B and rollback, not as database migrations run at 2am.
04How do you keep unit economics defensible?
By instrumenting cost per tenant, per feature and per surface from day one, and reviewing them monthly with product and finance. Compute, storage, egress and third-party costs are attributed, and the ones that stop paying back get shaped or removed. The output is a cost curve that stays defensible instead of a surprise at every board meeting.
Let's discuss your SaaS platform.
Share a brief overview of the SaaS product you're building or scaling, we'll arrange an introductory conversation with the relevant practice leadership.