Sample results

From airport runways to production lines.

WayNew builds on AI and analytics work that has improved throughput, stability and quality across several domains. For a concrete personal AI example, see the IntraSync use case.

Aviation and airports Predictive modelling Safety critical

Time based separation and runway throughput optimisation

With air traffic management partners, we helped design and validate analytics and AI solutions that optimise runway usage while meeting strict safety requirements.

One more landing per hour on average during strong headwinds.
80,000 minutes less arrival delay per year at a major European hub.
Standardised playbooks capturing best practices across multiple airports.

The same thinking applies to other networks such as logistics hubs, production facilities and large service operations with shared resources.

Industrial production
🏭 Predictive quality and throughput insights
Machine learning models for production lines to detect quality issues early, forecast output and optimise interventions, which supports more stable processes and better use of capacity.
Enterprise sales and service
📊 AI enhanced customer analytics
End to end analytics and decision support dashboards that help sales teams prioritise leads, prepare meetings faster and focus on the right customers. In one portfolio, preparation time per representative was roughly halved.
Research and innovation
🎓 More than 25 peer reviewed publications
Work published on topics such as time based separation, runway occupancy, operational resilience and AI based prediction systems, which helps ensure every project is grounded in tested methods instead of hype.