↑
Applied AI for operations

WayNew turns machine learning
into measurable business outcomes.

We design, build and operationalise AI systems that simplify complex decisions, improve throughput and reliability, and keep your teams focused on the work that matters most.

Core message Applied AI that delivers measurable business value.
Schedule a discovery call ➜ View example results ⟶
More than 10 years in AI, optimisation and predictive modelling.
Experience across airports, logistics and enterprise operations.
✔ Production grade models, not just concepts.
Operational AI snapshot
Typical value WayNew unlocks
In live operations
Runway and capacity
8 to 15%
Throughput increase with safety preserved.
Delay and waste
20 to 40%
Reduction in delays, rework or scrap.
Preparation time
50% less
Less manual preparation for frontline teams.
Decision speed
3 times
Faster, data backed decisions at the edge.
Case insight
From complex models to interfaces teams rely on.
Experience deploying AI in air traffic management, industrial production and enterprise sales analytics, always with traceable impact on key metrics.
Time based separation
Predictive operations
Decision dashboards
What WayNew does

Machine learning and AI that move the business forward.

WayNew focuses on predictive intelligence for organisations with complex, high stakes operations. We combine advanced modelling with a practical understanding of how people work, so AI systems are trusted, adopted and measurable.

ML and AI
📈
Predictive and prescriptive intelligence
Forecast demand, delays or failures and recommend the best actions. From runway sequencing to inventory and capacity plans, models plug directly into existing decision flows.
Operations
⚙️
Operational excellence at scale
We transform data from multiple systems into reliable pipelines and design interfaces that make AI insights usable for controllers, planners and frontline teams.
Analytics
🧠
Scenario and decision support
Simulation tools, digital twins and self updating dashboards that connect strategic questions to operational detail, including impact on service, throughput and cost.
Adoption
🤝
Change that lasts
We involve stakeholders early, co design protocols and define clear indicators so every AI initiative is evaluated on business impact, not only model accuracy.

Where WayNew creates value

The foundation lies in aerospace engineering and air traffic management, environments where safety, reliability and regulation are non negotiable. The same discipline now powers projects across other domains.

  • • Airports and transport: runway and gate throughput, delay prediction, passenger and baggage flows.
  • • Logistics and supply chain: routing, network optimisation, capacity and resource allocation.
  • • Industrial production and energy: equipment health prediction, production forecasting and intervention planning.
  • • Enterprise operations: sales and service analytics, lead prioritisation and workflow automation.
Operational AI for complex environments Predictive modelling for critical decisions From proof of concept to production Data products that fit daily workflows
How we work

From opportunity to deployed AI system in clear steps.

WayNew combines strategy, data science and engineering into a pragmatic delivery approach. The focus is on decisions, not only models.

01
Discover and prioritise
We map operational pain points, data assets and constraints, then identify AI opportunities with a strong balance of value and feasibility.
Value based roadmap
02
Design the decision loop
Together we define where predictions enter the process, who uses them, and how success is measured before a single model is trained.
Human in the loop
03
Build, validate and explain
We build robust pipelines and models with modern tooling, with emphasis on explainability, monitoring and documentation so stakeholders understand the system.
Production ready AI
04
Deploy and scale
We integrate with your systems, support your teams and iterate on real usage. Once value is clear, we help scale to new sites and business units.
Sustainable adoption
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.
WayNew expertise

Applied AI from research to daily operations.

WayNew brings together experience in aerospace, data science and operational analytics to deliver end to end machine learning systems that work under real world constraints.

W
WayNew
Applied AI and Data Science Partner
The team behind WayNew has led the development and deployment of predictive models and AI solutions for air traffic control, airports, logistics and enterprise operations. Projects span early discovery through to production systems in regulated environments.
Collectively, the work has contributed to more than two dozen peer reviewed publications on AI, aviation and data driven operations, as well as industry recognition within engineering and air traffic management communities.
Machine learning strategy Predictive analytics Operations research MLOps and data platforms Aviation and transport systems

Ready to turn your data into an advantage?

Whether you are exploring a first AI initiative or want more from existing models, WayNew helps you design and deliver a roadmap that fits your organisation and your operations.

Email WayNew ✉ Explore capabilities ⟵
Typical starting engagement: focused opportunity scan and concept design in 2 to 4 weeks.
WayNew – Applied AI for high impact operations.
Contact: info@syntraaiapp.com
Based in the Netherlands · Available for international work.