Software Companystrg.at:~$init --driven-by-humans --supported-by-ai
STRG.at is a research-driven company at the intersection of software engineering, AI research, and digital platforms. We build systems that connect data, content, and decisions intelligently — designed by humans, supported by agents and causal AI. Outstanding software emerges where high quality standards, strong processes, and real accountability come together.
We bundle our work into three areas that interlock in practice — backed by a shared toolset and more than 20 years of platform experience.
Headless CMS, content models, and integrations for large-scale websites, media portals, and data-rich digital platforms.
Tailored software development for automation, data integration, APIs, portals, and robust operational systems — built on our DCC framework (Digital Control Center).
Models for critical business decisions: forecasts, risk reduction, cause-and-effect relationships, and simulation of complex scenarios — before they get expensive.
We help move your projects to the cloud. To this end, we work with all leading providers to find the best solution for our customers.
Toolkit
Embed AI capabilities into existing software, processes, and data flows.
Google Cloud Premium Partner, experience with Azure and AWS.
CI/CD pipelines for industry, insurance, and media.
Chat and search integration as a direct sales lever.
Strategic advice on software, AI, and digital platforms.
Durable architectures for long-lived systems and data flows.
STRG.AT and Agentic Coding
Companies don't need isolated AI demos. They need robust systems that fit into existing processes, data sources, role models, and platforms — combining architecture, software engineering, causal AI, forecasting, simulation, content systems, and AI-assisted development.
That is exactly where STRG works: human-in-the-loop, with transparent governance and long-term operational responsibility.
Selected work
News · Articles · Stories · Press
Observations from research, software development, and practice — written by the team that delivers the projects.
Research since 2008
A selection of research and development projects that have shaped our current practice in causal AI, simulation, and platforms.
Early bridging of object-oriented programming with relational databases.
First research project on semantic classification of editorial content.
Opening toward artificial intelligence as compute power and practical use cases converged.
Behavioural economics and evolutionary algorithms for personalised digital experiences.
Reinforcement learning, e-commerce optimisation, and user-data simulation.
Practice-oriented research on cause-and-effect, simulation, and explainable decision support.
Our research turns into product. These projects show where the work in the timeline leads today.
Trusted across industry, insurance, media, and the public sector
Next step
Causal-AI prototype, Storyblok platform, or DCC-based data project — we listen, frame the problem, and propose a small, achievable starting point.
