Research areas we invest in today. — eleven years of engineering for banking, telecom, aviation, gaming, and AI. A portfolio built with intention, delivered with discipline, measured in outcomes.
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Four continuous research tracks feed every client engagement — so what lands on the first sprint already carries months of validation behind it.
We are building agent architectures, copilot interfaces, and automation pipelines that let businesses run faster with fewer manual steps. Our R&D covers multi-agent orchestration, RAG-powered knowledge systems, and AI workflows that integrate directly into existing operations.
We are pushing the boundaries of native app architecture — SwiftUI and Compose patterns, offline-first data sync, cross-platform code sharing with KMP, and design system portability between iOS and Android. The goal: faster mobile delivery without sacrificing quality.
We prototype premium UI directions, motion systems, editorial layouts, and refined interaction patterns. Every experiment feeds back into our client work — better transitions, smoother flows, and interfaces that feel considered.
Every project we deliver leaves behind a stronger foundation for the next one. We invest in shared component libraries, starter architectures, CI/CD templates, and tested patterns — so client work starts from a position of strength, not from scratch.
From regulated banking cores to AAA gaming pipelines, from real-estate marketplaces to multi-model AI councils — the systems we've shipped carry the stress-test of very different rooms.
At the end of the day, it's about doing great work that gets results. Explore a selection of some of our favourite pieces of work.
Spot & Spot Management — AI-powered rental & property management platform

Built two fully functional, white-labeled real estate applications from the ground up. Spot is a long-term rental app for tenants with AI-powered search and market analysis. Spot Management is a self-service property management platform enabling small and mid-tier landlords to manage their properties independently — with integrated AI data analysis, rental market consensus, automated valuations, and intelligent tenant matching — eliminating the need for large PM companies.
Property management tools are built for large firms, leaving small and mid-tier landlords with no affordable, self-service option. Rental pricing relies on gut feeling, tenant screening is manual, and there's no data-driven decision support for independent landlords.
Two production-ready iOS apps with SwiftUI, Supabase backend, Stripe payments, and a shared DesignSystem package. AI-powered rental price consensus engine analyzing comparable listings. Intelligent tenant matching with scoring algorithms. Automated property valuation with market data integration. 17 services across 5 tiers (Core, Business, Engagement, User, Compliance). Full white-label architecture with brand-switchable design tokens.
Every engagement leaves behind a stronger foundation — a tested pattern, a proven tool, a refined instinct — that the next one inherits.