Transform the operation of rail networks.
Partner with our customers to transform their rail networks through the power of rail knowledge and technology to enable optimised decision-making through insights, real-time asset management, predictions and modelling. Our target is to drive value across the network by delivering increased availability, reliability, productivity and safety and decreased OPEX costs.
With emerging and constantly changing technologies and data, Praedico is focused on solving problems to create value and deliver outcomes in an ever-changing environment.
Founded in 2023, Praedico utilises our Willowrail platform to focus on our core business in optimising rail networks to drive performance, reliability, value and safety.
With offices in the US, the Netherlands and Australia we partner with our clients to deliver outcomes and tangible benefits by combining our industry-leading rail domain knowledge and software expertise.
At Praedico, we are rail people. While we have the smartest technologists in the industry, our team also includes experienced rail industry veterans who understand the day-to-day challenges of operating a network.
Praedico for Rail integrates operational data and asset management information into a simple and intuitive software platform. By aggregating, organising and managing the static, spatial and live data for all rail assets,
it creates a data-driven digital rail network.
The platform allows the progression from reactive or planned maintenance to a predictive or AI-driven approach, maximising the efficiency of maintenance, optimising capacity and increasing availability.
Challenges We are Solving
Railway networks have disconnected systems controlled by proprietary software that doesn't communicate with each other.
Data, data everywhere
Data is pouring in by the minute from various sources, but it's inconsistent, disconnected, and unstructured, making it challenging for operators to decipher.
Lack of real-time insights
Decision-makers lack accurate and up-to-date information, leading to significant challenges in meeting or improving KPIs, as they make decisions based on old or inaccurate data.
Disrupted network performance
Owners and managers make critical decisions manually which can result in poorly considered investments and maintenance decisions, reactive maintenance cycles, missed KPIs, siloed data, and a poor understanding of network and component performance.