Our Approach

Progressive. Software. Development;

Coding Schematic Image

We use technologies that make apps effective to develop, efficient to run and excellent to use. Innovative hosting with a lean & flexible architecture on the server. Fast, offline-enabled and privacy respecting user experiences on the client.

Technologies we work with

This is a selection of tools and approaches we use to build software.

Development Ecosystems

We leverage powerful frameworks and ecosystems to build robust applications. The .NET ecosystem provides enterprise-grade solutions with exceptional performance. The Python ecosystem powers our data processing and AI integrations. We're exploring WebAssembly for portable, high-performance modules that run anywhere. For our Lytebase platform, we're building cloud-native infrastructure with modern tooling.

User Interface

Our main target for the user interface is the browser with support for modern web-standards to create Progressive Web Applications . For Native Apps we're experimenting with Capacitor, which is based on web technologies. As UI frameworks we like to use Vue.js and Astro.

Development Lifecycle, CI, Hosting

Our development workflow is centered around Git, following a fully automated GitOps approach. Deployment artifacts are typically containerized, and for our upcoming Lytebase platform, we’re also integrating WebAssembly modules using an OCI-compatible registry. We deploy to lightweight K3s Kubernetes clusters and Cloudflare services, depending on the specific requirements of each service.

Data & Search

On the client side, we leverage browser-native storage technologies, primarily IndexedDB and SQLite, to support local-first application experiences. On the server side, we deploy PostgreSQL for relational data, Blob storage for unstructured content, and sophisticated Search Clusters for full-text search. We're also implementing Vector Search capabilities for semantic queries and AI-powered features—all of which will be natively integrated into our Lytebase platform.

AI Integration

We don't just talk about AI—we integrate it. Our applications leverage state-of-the-art language models and machine learning capabilities to deliver intelligent features that actually matter. From natural language interfaces in Traqbase to smart project insights in ThinXdone, we embed AI where it adds real value. Our Lytebase platform is being architected for easy AI model integration with GPU access.