Work we're proud of.
A glimpse into the kind of problems we like to solve — and how we solve them.
Cross-platform security suite
The situation. A consumer security product had grown into several separate iOS and Android apps, each with its own codebase, release cycle, and quirks. Every feature had to be built multiple times, and maintenance costs were climbing while release velocity dropped.
What we did. We unified the apps under one shared architecture using Kotlin Multiplatform — shared business logic and security core, native UI where it matters. We introduced a common release pipeline with automated testing so every platform ships from the same foundation.
The result. One codebase to maintain instead of several, significantly lower maintenance costs, and releases that ship to both platforms together instead of weeks apart. New features now land once and run everywhere.
Smart booking & operations platform
The situation. A service business was running bookings through a patchwork of phone calls, spreadsheets, and manual follow-ups. Double bookings and missed confirmations were costing real revenue, and the team spent more time on admin than on customers.
What we did. We designed and built a customer-facing booking portal and an admin backend that brings scheduling, confirmations, and operations into one place — with automation handling reminders, conflicts, and routine follow-ups.
The result. Simplified operations, fewer dropped bookings, and an increase in completed bookings. The team now manages exceptions instead of every single booking by hand.
AI assistant for support teams
The situation. A support team was drowning in repetitive tickets. Response times were slipping, and experienced agents were spending their day retyping answers to questions the team had answered hundreds of times before.
What we did. We layered AI on top of the existing support stack — no rip-and-replace. The assistant drafts responses grounded in the team's own knowledge base, suggests next steps, and routes edge cases to humans. Agents review and send; the AI never replies unsupervised.
The result. Agents respond faster with less effort, quality stays consistent, and humans remain in control of every customer interaction. The team handles more volume without adding headcount.
End-to-end partnership: brand, product & IT
The situation. An established regional business ready to modernize everything at once: a dated brand, paper-driven customer processes, and aging IT infrastructure across multiple sites. Previous attempts had stalled coordinating separate branding, software, and IT vendors.
What we did. End-to-end ownership under a single roadmap. Brand first: refreshed identity and guidelines. Product second: a customer portal replacing paper workflows, built on the new brand. Infrastructure throughout: structured cabling, enterprise WiFi, and network security across sites, plus ongoing managed support.
The result. One accountable partner instead of five vendors. The portal digitized the core customer journey end to end, the brand rolled out consistently across every touchpoint, and the infrastructure now carries it all reliably — with a single support contract behind it.