SaaS Platforms
Multi-tenant subscription products with auth, billing, and admin in one codebase. Type-safe end-to-end and ready to scale across customer accounts.
SaaS platforms, dashboards, internal tools, customer portals, and real-time apps — engineered with type-safe APIs, RBAC, and observability from day one.
Categories that cover the full range of what “a web application” means in 2026 — from a multi-tenant SaaS to a real-time collaboration tool.
Multi-tenant subscription products with auth, billing, and admin in one codebase. Type-safe end-to-end and ready to scale across customer accounts.
Ops, analytics, and admin tools for the people running your business. Fast queries on big tables, role-based access, audit logs out of the box.
Self-service surfaces for clients, members, vendors. Account management, support, document exchange — branded, secure, and accessible.
Live presence, multi-user editing, websocket-driven dashboards. Conflict resolution, optimistic updates, and graceful reconnection built in.
Apps with retrieval-augmented chat, document intelligence, and agentic flows. Cost caps, evaluation pipelines, and fallbacks in production.
Two-sided platforms with onboarding, listings, payments, payouts, and reputation systems. Built for trust, scale, and regulatory readiness.
The pain points we hear on almost every web-app kickoff call, and the way we solve each one. No magic — just the right architecture done with care.
A 5,000-row table renders synchronously and freezes the UI. Users wait, click again, double-submit, lose trust.
Virtualised lists, optimistic mutations, edge-cached reads. The UI stays at 60fps even at 100k rows.
Hardcoded role flags, no SSO, no audit trail. Every permission change is a deploy and a prayer.
Battle-tested auth, configurable roles, SSO connectors, and an activity log on every mutation from day one.
No real-time layer; two users see two versions of the truth. Conflicts get resolved by whoever clicked Save last.
Websockets, optimistic updates, conflict resolution, graceful reconnect. The shared state stays shared.
When something breaks, you find out from users. No traces, no metrics, no error grouping — just dashboards from logs.
Structured logs, traces, error grouping, custom metrics, alert routes. You see breakage before customers do.
Fixed feature list, no AI integrations they don’t already ship, and a roadmap that fits the vendor’s playbook — not your business.
Custom workflows your team asks for, AI copilots only where they earn their keep, and engineers committed past v1.
Apps live in production for years. We engineer for the engagement that lasts that long — not the demo that lasts a sprint.
Honest fixes for common challenges. Same playbook on every engagement, calibrated to the size of your build.
Type-safe APIs, real auth, real-time where it matters, performance at scale, and a path to multi-tenant — defaults on every engagement.
Schema-first APIs, generated TypeScript types, runtime validation. The frontend and backend speak the same language — and the compiler catches the lies.
Role-based access, SSO connectors, per-action permissions, and activity logs on every mutation. Compliance-ready, not retrofitted.
Virtualised lists, edge-cached reads, optimistic mutations. UI stays at 60fps from the first user to the hundred-thousandth.
Websockets, presence, conflict resolution. Used surgically — only where staleness costs you trust, not on every list.
Touch targets, gestures, offline tolerance — your dashboard works on a phone in the field, not just on a 27-inch monitor.
Custom workflows your team uses daily, AI features only where they earn their keep, and engineers committed past v1.
AI accelerates execution on every layer — schema, API, UI, tests. Human judgement decides what gets shipped. The same way a senior engineer uses a great IDE.
Multi-step agents that plan, execute, and self-correct on complex app tasks.
Pair-programming with Claude inside the codebase — types, schemas, and tests.
Spec → prototype → user review in days, not weeks.
AI-generated unit, integration, and edge-case tests on every PR.
Planning, execution, evaluation, and shipping — cost-capped, human-approved, eval-gated.
Same workflow on every engagement, calibrated to project size. Discover, design, engineer, optimise, scale.
Workflows, user roles, data shapes, integrations. We map the system you have, the system you need, and what the gap costs.
Component library, screen flows, role-aware UI. Every state — empty, loading, error, permission-denied — designed before code.
Type-safe API, RBAC, audit logging, CI/CD. Tested on every commit, deployed to staging from week one.
Performance budgets, observability, accessibility. Virtualised lists, optimistic UI, traces, alerts — all in before launch.
Multi-tenant rollout, automation, AI integrations. Launch is day zero — we stay through quarterly reviews and the next milestone.
We don’t do “all industries.” These are the verticals where we’ve done enough work to bring real domain context into the kickoff call.
Multi-tenant platforms with billing, RBAC, and admin baked in.
HIPAA-aware patient portals, EHR integrations, audit logs.
KYC flows, secure dashboards, transaction views, compliance trails.
Fleet ops, real-time tracking, dispatcher dashboards, route mgmt.
LMS platforms, student/teacher dashboards, course management.
RAG-powered tools, eval dashboards, cost-capped agent flows.
Agent CRMs, property pipelines, virtual-tour back-offices.
OMS, inventory dashboards, customer-success portals.
Booking systems, multi-property admin, guest portals.
A glance at recent web-app engagements. The full story — problem, solution, tech, timeline — lives on each case-study page.
End-to-end trading platform for a Saudi metal firm — quote generation, order fulfillment, VAT-compliant invoicing, profit ledger, and bilingual support.
Secure client and practice management portal for a chartered accountancy firm — document workflows, compliance tracking, and client interactions.
Tell us where you’re going. We’ll come back with the senior engineer + designer who’d lead the engagement.