TypeScript
default across frontend and backend - typed APIs and shared interfaces catch mismatches between layers before they reach production
We build custom SaaS products - from zero-to-one MVPs to multi-tenant enterprise platforms. Product architecture, frontend, backend, cloud infrastructure, billing integrations. One team, full accountability, code that you own.
Let's TalkDiscovery to working product in 8-12 weeks. We scope tightly, build with production-ready architecture, and get you to real user feedback before the runway runs out. No throwaway prototypes.
Multi-tenant platforms that serve hundreds of business accounts with isolated data, custom billing plans, role hierarchies and API-first architecture. Built to stay fast as your customer count grows.
Your monolith is slowing you down and your team knows it. We re-architect it into a modular, cloud-native product in phases - customers stay on the platform throughout, no big-bang rewrites.
Brandable platforms your partners or clients deploy under their own name. Custom domain support, theme configuration, per-tenant data isolation and separate billing - all handled at the infrastructure level.
We have shipped SaaS products in fintech, healthcare, e-commerce and B2B tooling. A compliance platform, a healthcare scheduling tool, a marketplace and a wellness app that reached 10k users in three months. The team that builds it stays to grow it.
default across frontend and backend - typed APIs and shared interfaces catch mismatches between layers before they reach production
the UI layer for every SaaS dashboard, admin panel and customer-facing interface we build
for SaaS marketing sites and hybrid apps where SEO and server rendering matter alongside the authenticated product experience
primary for API servers, webhooks and real-time features - fast to build, straightforward to scale horizontally
data processing pipelines, ML-backed features and automation-heavy backend workflows where ecosystem breadth matters
for data-rich SaaS interfaces where flexible querying and typed schemas reduce over-fetching across web and mobile clients
default database for SaaS - row-level security makes per-tenant data isolation clean, auditable and performant
every service ships containerized - identical environments from local development to staging to production
for multi-service SaaS architectures with auto-scaling, rolling deploys and zero-downtime updates
primary cloud - RDS, EKS, S3, SES, Lambda, CloudFront - chosen per project based on load profile and cost
1-2 weeks mapping your users, use cases and revenue model. Output: a product spec, architecture decisions and delivery roadmap. Everyone agrees on what is being built before a line of code is written.
Data model, API contracts, auth flows, multi-tenant strategy - decided upfront. UI/UX wireframes and interactive prototypes let you validate the product flow before development costs accumulate.
Two-week sprints with a working demo at the end of each. Billing (Stripe or Paddle), third-party APIs, analytics and notifications go in as features are built - not bolted on at the end.
CI/CD, automated tests and monitoring are live before go-live. After launch we track p95 latency and error rates, run load tests under real traffic, and keep shipping on the roadmap with you.
Product, design, frontend, backend, infrastructure and QA under one roof. No handoffs between agencies, no integration gaps, no one to blame but us if something breaks.
Auto-scaling, containerized services and infrastructure-as-code are in from sprint one. You do not pay for a rewrite when your user count grows.
Row-level security, separate schemas or isolated instances - we pick the right isolation model based on your compliance requirements, not the easiest thing to build.
Stripe and Paddle integrations across multiple products - usage-based pricing, seat plans, trials, proration, dunning flows and tax handling. We know where the edge cases hide.
GDPR-compliant data handling, SOC2-aligned practices, audit logging and encryption at rest and in transit - architecture decisions, not post-launch patches.
Most of our SaaS clients keep the team for 12+ months post-launch. We know the codebase, the decisions behind it, and the roadmap - onboarding a new vendor after go-live costs you more than it saves.