Smarter Railways

Get in touch
Palixo helps transit operators significantly reduce wear and noise emissions through AI-optimised top-of-rail conditioning and flange lubrication.

RESULTS

Measurable performance for infrastructure and rolling stock.

Our AI-driven system solution optimises rail operations in real time. Based on real-world deployments, these figures show how we significantly reduce noise and wear and extend the service life of your assets.

98.5%
Noise reduction
9%
Wear reduction
60%
Lubricant reduction

Challenges

The first AI-based complete solution for infrastructure and rolling stock.

Noise emissions

Curve noise burdens residents and threatens the acceptance of rail systems in densely populated areas. Targeted noise reduction protects the reputation of your transit operation and avoids costly regulatory requirements.

Wear

High mechanical friction causes severe wear on wheel and rail. Optimised friction management extends maintenance intervals and the service life of the infrastructure, and noticeably eases your maintenance budget.

Lack of visibility

Without digital transparency the condition of wheels and track remains a black box, allowing only reactive action once damage has already occurred. Only data-based insight enables efficient, predictive planning of maintenance processes.

Wasted resources

Conventional systems often lubricate on fixed intervals and consume unnecessarily large amounts of lubricant. Demand-based lubrication protects the environment and significantly lowers running consumables costs.

Solutions

Less noise, wear and maintenance cost in rail operations.

Palixo combines AI-driven top-of-rail conditioning and flange lubrication into a single intelligently connected system. Instead of relying on fixed intervals, our algorithm calculates the actual demand for lubricant and friction modifier.

01

Noise reduction

Targeted conditioning of the rail head and targeted lubrication of the wheel flange eliminate disruptive curve noise directly at source. Noticeably quieter operation improves quality of life for residents and increases acceptance of your network in urban areas. You meet noise protection requirements and strengthen your reputation as a modern, innovative transit operator.

02

Wear reduction on wheel and rail

Alongside a substantial noise reduction through AI-optimised friction management between wheel and rail, wear on both wheel and rail is reduced. Top-of-rail conditioning in particular reduces wear on the wheel tread and the rail head, while flange lubrication reduces wear on the rail gauge face and on the wheel flange. This lowers your running consumables costs and extends the service life of wheel and rail.

03

Condition monitoring of track infrastructure and rolling stock

Keep the condition of your entire infrastructure and vehicle fleet in view at all times through a digital dashboard. Intelligent connectivity and data analysis let you identify maintenance needs proactively, before costly damage occurs. That enables predictive planning, reduces unforeseen failures and optimises your staff deployment, making a substantial contribution to smooth and safe operations.

04

Environmental footprint

Excessive use of lubricant places an unnecessary burden on the environment and consumes resources. Demand-based application shrinks the environmental footprint and protects your budget.

From innovation project to everyday standard.

What began as a pioneering innovation project for BERNMOBIL now proves itself in daily service on the tracks.

References

State-of-the-art top-of-rail conditioning at Bernmobil

98.5%
Noise reduction
9%
Wear reduction

Certifications

Quality to rail industry standard. Guaranteed maximum reliability under extreme conditions.

Temperature and shock resistance
Swiss made

Ready for smarter Railways?

We'll show you how your rail system gets smarter. In a short conversation we assess the potential for your rolling stock and your infrastructure. No obligation, concrete, tailored to your situation.

Get in touch
We'll get back to you within 24 hours.