Our Projects

Interactive customer models helped ImmobilienErben refine campaigns fast, avoid burning leads, and save CHF 50–100K.

Adaptive AI experimentation cut Scrona’s calibration costs by CHF 60K+ while ensuring consistent quality.

Sound analysis detects machine failures early, cutting maintenance costs by 10%, boosting uptime by 20%, and halving planning time.

Data versioning gave Medico visibility into long-term market trends, identifying a 20% rise in high-demand services.

With centralized monitoring of 50,000+ sensors, NXGEN increases uptime, automates alerts, and strengthens operational control.

Predictive maintenance assistant helps energy providers identify the most cost-effective maintenance dates, saving over 18 million CHF annually.

Automated web scraping turned 300,000+ scattered data points into a reliable source for trend analysis and strategy.

Predictive analytics mapped current and future cardiac disease trends, supporting better planning and life-saving interventions.

Natural language database interface helped Swiss public institutions save time while gaining immediate access to critical information.

Predictive models eliminated manual calculations, saving 40+ hours per month while improving accuracy.

Predicting future ridership trends led to 3+ million CHF in savings on Zugerland Verkehrsbetriebe's fleet investments.

Location modeling revealed a sweet spot: 900% more accessibility, 20 km of open market, and a clear edge in care availability.

Cross-analyzed demographic, economic, and competitive data to find a 207'000 CHF income area with no competition within 20 km, fueling 300% growth.

Database optimization delivered 32x faster performance for NxGen, shrinking data load time from 16 seconds to 0.5.

Parallel processing of 20 deepfakes at Kunstmuseum Ravensburg allowed for a dynamic, immersive exploration of identity through AI.