Web applications, mobile applications and AI integrations — designed and engineered by the same team that runs your marketing system. One accountable partner from landing page through production codebase.
From a tenant-aware admin panel to a multi-sided marketplace. Built on Next.js + Node, deployed to Vercel or AWS — whichever your stack already lives in.
React Native and Flutter for cross-platform — native modules where they earn. Shipped to the App Store and Play Store with the boring-but-essential bits (push, offline sync, biometrics) wired correctly the first time.
We build with AI where it removes operational tax — not where it makes a demo look clever. RAG chatbots that ship real docs. Voice agents that take real bookings. Vision pipelines that read real documents. Sales agents that close real leads.
REST and GraphQL APIs, serverless or container, managed Postgres and Redis, observability from day one. We build with tools that will still be here in five years — not whatever's trending on Twitter this quarter.
CI/CD, monitoring, on-call runbooks. We don't deliver a zip file — we deliver a deployable repository with branch protection, preview environments, and a runbook the next engineer can read.
We commit to a stack we can support five years from now. No framework-of-the-month. No "we'll figure out the database in production". Here's what we reach for, and when.
For marketing sites: Astro. For SaaS apps: Next.js. Always TypeScript.
Node for everything that talks to the browser. Python when AI is in the loop. Go for the hot path.
React Native + Expo for most apps. Native (Swift / Kotlin) when latency or hardware demands it.
RAG over real docs. WhatsApp business agents with human handoff. Voice via Whisper + GPT-4o. Vector search on pgvector for < 1M docs; Pinecone above.
AWS for serious workloads. Vercel for Next.js front-ends. Cloudflare for edge + CDN. Supabase for fast MVPs.
CI/CD on GitHub Actions by default. Sentry on every project from day one. PostHog for product analytics; Datadog for infra.
Not every business needs an LLM in production. The ones that benefit have one of four operational tax patterns — and AI removes the tax cleanly. Here's what we ship most.
A retrieval-augmented assistant that answers 60–75% of inbound questions from your real documentation, then hands off to a human for the rest. We measure ticket deflection rate, never "AI satisfaction scores".
Auto-qualifies inbound leads, books viewings, sends brochures, hands off hot leads to a human in < 90 seconds. Ships with our own product — AI WhatsApp Sales Agent — or as a custom integration.
An always-on AI front desk for hospitality, real estate and professional services. Whisper for speech recognition, GPT for response, ElevenLabs for voice. Ships as AI Concierge or as bespoke.
OCR + classification + extraction pipelines for businesses drowning in PDFs — KYC docs, contracts, invoices, lease agreements. Replaces three days of human review with thirty seconds.
Discovery, strategy, build, launch, optimise. Different deliverables — same accountability. See our full process.
Two-hour technical intake. We leave with a system diagram, integration map and the unknowns named.
Architecture + UX in one document. Tradeoffs argued in writing before code.
Weekly deploys to staging from week two. Every Friday: what shipped, what's next, what's at risk.
Soft launch with monitoring on. We fix the leaks before turning the taps.
30-day post-launch support included. Optional retainer if you want us on-call.
Web app, mobile app, AI integration, or all three. The first scoping call is forty-five minutes. We come back with an architecture proposal in writing within a week.