Citrus Analytics — Fusion

Market research agencies spend hours on manual analysis. Through Fusion, Citrus Analytics offers a platform where non-data-scientists run advanced statistical methods with full transparency and confidence.

The problem wasn't just automation — it was automation that could be trusted. Results had to be reproducible, methods had to be explainable, and the process had to be accessible to analysts without deep statistical training.

An AI-powered platform with autonomous AI agents that analyze uploaded SPSS survey data. The system discovers the survey structure automatically, proposes relevant, insightful research questions and methodologically robust analysis plans, and executes them — from weighted crosstabs and significance testing to regression, factor analysis, cluster-based segmentation, and latent class analysis.

Martin invented how Fusion works: the way it processes and prepares uploaded survey data for analysis, the way it suggests research questions worth asking, the way analysis plans are generated and executed, the way respondent privacy is preserved at every step, and the transparency that lets researchers trust the results. By building Fusion, he was a central part of building Citrus Analytics itself; once the core system was solved, tested, and working, he collaborated on fitting its interface to the company's design vision.

Every analysis plan is shown to the user before execution. Every number comes from statistical code that is generated, safety-checked, executed, and audited in a gated pipeline — never from free-form text generation — and every conclusion carries a graded strength-of-evidence rating.