What we build
Four disciplines, one team, composed per project.
Apps with native quality.
iOS, Android, and desktop with the fluidity, performance, and feel of a native app. That's the floor, not the ceiling.
We publish to the App Store and Play Store with CI configured from the first release.
- Apps for iOS, Android, and desktop with native quality.
- Offline-first architecture when the client's context calls for it.
- Push notifications, biometrics, deep links.
- Crash reporting, analytics, feature flags.
- App Store and Play Store publishing with CI configured.
Modern websites and web applications.
From high-performance landings to complex web applications. Responsive design, impeccable performance, technical SEO from day one.
Typed TypeScript frontends with reusable components. Components that survive into the next project.
Performance isn't a polish step at the end — it's a constraint that lives in every commit.
- Marketing sites and landings with Lighthouse 95+ performance.
- Complex web applications with interactive interfaces.
- Typed TypeScript frontends with reusable components.
- Technical SEO (meta tags, sitemap, structured data).
- Continuous deployment with branch previews.
The system that holds your product up.
APIs, databases, real-time sync, hardware integrations, continuous deployment.
We pick tools we already know well and tune them. We justify novelty by project constraint, not by aesthetics.
Monitoring and error handling as part of the design. If we can't see it, we don't ship it.
- APIs and backend in Node.js, Bun, Python — whatever the project asks for.
- PostgreSQL and Firebase databases with schemas built to evolve.
- Real-time sync, hardware integrations (NFC, IoT).
- Continuous deployment on Google Cloud, Docker containers.
- Monitoring and error handling as part of the design.
AI integrated into your products.
We integrate frontier models — Claude (Anthropic), GPT (OpenAI), Gemini (Google), DeepSeek — into our clients' products through their APIs. We build the layers around them: context, data, automation, conversation, control.
When we integrate a model into a product, we treat it like any other critical dependency — with observability, error handling, and predictable behavior under load.
- Conversational assistants with context of the client's product.
- Intelligent document processing (ingest, format, structured export).
- Agents that take action across internal systems via APIs.
- Content generation and AI-driven workflow automation.
- Integration with Anthropic, OpenAI, Google Gemini, DeepSeek APIs.