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GenAI & ML solutions that ship to production
Multi-agent architecture for automated legal document review. Reduced review time by 70%, coverage from 65% to 90%+. Annual savings €150K–€180K.
Hybrid rule engine + Gemini classifier. 99.57% accuracy across 1,247+ emails. 80% reduction in manual handling, 70% cost reduction vs legacy.
AI-powered platform for a top-tier European club (~€500M revenue). 25% injury reduction, 40-50% time savings for medical staff.
Experimental content generation with Imagen 2/3 and VEO 1. Partial successes but highlighted gap between hype and maturity.
AI chatbot reducing L1 tickets by 40-50%. 30% increase in self-service completion. NPS improved by 10-15 points.
Unified ticket classification across Salesforce, Jira, email. 90%+ category coverage, 85%+ accuracy.
Automated 45-60% of first-line responses. ~35% reduction in ticket resolution time.
For a €10B luxury fashion brand. 12% conversion uplift, ~10% UPT increase. Replaced €0.5M/yr legacy system.
Automated translation and adaptation for global campaigns. 50% faster rollout, 60% reduction in manual localization.
Cataloged ~20,000 sketches from 20 years. GenAI design generation didn't meet brand standards — key learning.
50-60% reduction in offer prep time. 25% more offers submitted. 10-15% annual revenue uplift.
Automatic spillage detection in lab video footage. Replaced manual overnight review.
ML-powered talent matchmaking and automated content moderation.
ML system on AWS predicting maintenance needs for 50 wind turbines.
ML pipelines supporting a team of 30 data scientists.
Hierarchical cash flow forecasting model.