Nos Projets

Credit risk engine for unbanked African farmers boosts loan repayment rate to 95%. It enables safely scaling sales to 8000+ new customers. Even without credit history.

A self-service BI dashboard for MPower cut their 100-point data collection to just key metrics. They achieved 5x faster onboarding across 8,000+ households.

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.

Datali’s predictive maintenance assistant helps energy providers identify the most cost-effective maintenance dates, saving over 18 million CHF annually. By combining forecasting models with optimization techniques, the tool factors in energy prices, environmental conditions, and operational constraints to suggest optimal maintenance schedules. This human-centric approach empowers planners with flexible, data-driven decision-making.

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.