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Custom SaaS Development

SaaS products, from whiteboard to scale.

From whiteboard to scalable product.

End-to-end product engineering: discovery, design, architecture, build, launch, and scale. Multi-tenant from day one, billing wired in, and a path to your first 100k users that doesn't require a rebuild.

10–14 wk
To First Paying Customer
0.4×
Cost vs. In-house Team
99.95%
Target Uptime SLO
SOC 2
Ready From Day One

What's actually broken — and how we fix it.

Most custom SaaS builds fail in one of six ways. We've seen them all — and we engineer against each one from the first commit.

01

Endless discovery, nothing shipped

Six months of wireframes and workshops before a line of code. Budget evaporates, morale drops, market window closes.

02

Prototype code ends up in prod

The MVP was 'temporary' — now it's running your business with no tests, no observability, and no one who remembers why X works.

03

Multi-tenancy retrofitted

Built single-tenant 'to ship faster,' now every new customer means a new instance. Data leakage risk goes up, margin goes down.

04

Billing is a manual mess

Invoices in spreadsheets, Stripe-as-afterthought, no proration, no trials, no self-serve upgrades. Revenue operations breaks.

05

Can't scale past 10k users

First bottleneck: N+1 queries. Second: background jobs stuck on the web process. Third: no one owns the performance budget.

06

Security bolted on at the end

Just before the enterprise deal closes, someone asks for SOC 2. Six months of panic to retrofit logging, RBAC, and audit trails.

Every module, shipped tuned to your data.

We treat every build as if you'll 100× it. Multi-tenant, billable, observable — not someday, but from sprint one.

Architecture & Foundation

Multi-tenant from day one

Row-level security, schema-per-tenant, or sharded — architected to your load profile, not as an afterthought.

Domain-driven structure

Bounded contexts, clean data contracts, and a monorepo shape that scales from 3 engineers to 30.

Event-driven backbone

Kafka / Temporal / SQS-backed pipelines for any cross-module work. Durable, replayable, observable.

API-first design

OpenAPI-speced REST or GraphQL, with typed SDKs auto-generated for your customers and your frontend.

Billing & Monetization

Stripe / Razorpay / Paddle

Subscriptions, usage-based, metered, hybrid, seat-based — modeled cleanly, not glued on top.

Trials, proration, dunning

Free trials, coupon codes, mid-cycle upgrades with proration, failed-payment retries, and gentle dunning flows.

Self-serve upgrade flows

Upgrade / downgrade / cancel in-app without support tickets. Built-in tax, invoice customization.

Revenue dashboards

MRR, ARR, churn, cohort retention, expansion — real numbers, not Stripe's hand-wavy estimates.

Identity & Access

SSO (SAML + OIDC)

Enterprise-ready sign-in via Okta, Azure AD, Google Workspace. SCIM provisioning for lifecycle management.

Fine-grained RBAC

Policy-based access (OPA, Cedar, or custom) — not just three hardcoded roles. Scoped per-tenant.

Magic links + passkeys

Modern passwordless authentication. Passkeys (WebAuthn) first, email fallback, and MFA where required.

Audit log everything

Immutable, append-only audit trail of who did what and when — exportable for SOC 2, ISO, HIPAA audits.

Scale & Performance

Horizontal-scale-ready

Stateless web tier, durable job queues, read replicas, and CDN-first delivery. 10× growth needs config, not a rewrite.

Background job infra

Sidekiq / BullMQ / Temporal — with retries, dead-letter queues, priority lanes, and per-tenant concurrency limits.

Caching strategy

Multi-layer caches: CDN, edge, application, database. With explicit invalidation, not hopeful TTLs.

Performance budgets

P50 / P95 / P99 targets baked into CI. Regressions fail the build. Owner tagged on every route.

Mobile & Cross-platform

React Native / Expo

iOS + Android from one codebase. Shared business logic with the web app where it makes sense.

Progressive web apps

Installable, offline-capable, push-notified web apps — right tool when native isn't worth the tax.

Desktop via Tauri / Electron

Need a desktop client? We'll ship it — with auto-update, crash reporting, and native OS integration.

Public API + webhooks

Third parties build on your platform. Rate-limited, versioned, documented, with signed webhooks.

Observability & Ops

Unified logging + tracing

OpenTelemetry end-to-end. Per-tenant filters, per-route latency, and distributed traces that connect the dots.

Error monitoring

Sentry / Datadog with source maps, release tagging, and PR-linked error alerts.

On-call runbook

Pager rotation, severity matrix, and a runbook per top-20 incident type. Shipped with the product.

Feature flags + experiments

Gradual rollouts, kill switches, A/B tests — gated per tenant, plan, or user cohort.

From kickoff to production, transparently.

We ship usable product every two weeks. No big-bang reveals, no six-month dark rooms. Typical MVP→launch: 10–14 weeks.

PHASE 01Weeks 1–2

Product Discovery & Scoping

Sharpen the product hypothesis. Define the cut for v1, the non-negotiables, and the kill-features list.

Deliverables

  • Product brief + user stories
  • MVP scope doc (what's in, what's out)
  • Architecture + tech stack proposal
PHASE 02Weeks 3–4

Architecture & Design System

Schema, data contracts, UI design system, and dev infra stood up. Cloud accounts, CI/CD, observability wired before any feature code.

Deliverables

  • ERD + API spec
  • Design system + key screens
  • Deployed staging environment
PHASE 03Weeks 5–10

MVP Build

Two-week sprints, end-to-end shipping. Demos every Friday, usable product at every checkpoint — not just at launch.

Deliverables

  • Core product flows live in staging
  • Multi-tenancy + RBAC in place
  • Weekly deploy cadence
PHASE 04Weeks 11–12

Billing & Go-to-Market

Wire up Stripe, pricing page, self-serve signup, onboarding, and marketing site. Make the product sellable, not just buildable.

Deliverables

  • Subscription billing live
  • Self-serve onboarding flow
  • Marketing site + pricing page
PHASE 05Weeks 13–14

Scale & Hardening

Load-test to 10× expected traffic. Security audit, SOC 2 evidence baseline, and an on-call rotation you can hand to ops.

Deliverables

  • Load + chaos test report
  • Security audit findings resolved
  • On-call runbook + pager setup
PHASE 06Ongoing

Growth & Iteration

Ship weekly. Measure weekly. We stay as a product pod, or transition to your in-house team on a structured handover.

Deliverables

  • Weekly release train
  • Monthly metrics review
  • Handover kit when you're ready

Plays well with your existing stack.

The sensible defaults below — swappable when your product needs something else.

Billing & Payments

StripePaddleRazorpayChargebeeRecurlyLemon Squeezy

Auth & Identity

Auth0ClerkWorkOSSupabase AuthFirebase AuthCustom

Infrastructure

AWSGoogle CloudVercelCloudflareFly.ioRender

Databases

Postgres (RDS / Neon)MongoDB AtlasRedisClickHouseDynamoDBPlanetscale

Product Analytics

PostHogMixpanelAmplitudeSegmentHeapLogRocket

Compliance

VantaDrataSecureFrameTugboat LogicSprintoThoropass

Missing something? We build custom connectors in 1–2 weeks.

Ways teams put this to work.

Vertical SaaS

Industry-specific platform (legal, construction, fitness, education) with deep workflow fit and compliance needs.

10 pilots in 14 weeks. $1.2M ARR by month 10.

B2B Platform

Multi-tenant enterprise SaaS with SSO, SCIM, audit logs, and SOC 2 from day one to close enterprise deals quickly.

First 6-figure ACV deal signed in month 4.

Marketplace

Two-sided marketplace with onboarding, matching, payments, payouts, and disputes — on Stripe Connect.

$4M GMV in first year, 12% take rate.

Developer Platform / API

API-first product with developer dashboard, usage-based billing, rate limiting, and typed SDKs.

2,400 dev signups, 38% MAU on free tier.

Internal Tool → Product

You built an internal tool that saved your team 100 hours/week. We productize it — multi-tenant, billable, sellable.

Spun out as standalone SaaS at $2M ARR.

AI-native Product

LLM-powered product with usage-based billing, model routing, semantic caching, and eval-driven deploys.

68% gross margin despite AI compute costs.
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