AI case study

AkilaStation operations management

Data for 14,000 trains was scattered across systems. A live digital twin now unifies insights, cutting energy 20% and response times 50%.

Published|5 months ago

Key results

Energy Reduction
20%
Faster Response
50%
Weekly Savings
2 hours

Result highlights

Unlock 5 result highlights

The story

Context

A national rail operator manages nearly 14,000 trains daily across France and Monaco, overseeing complex station environments with unpredictable crowd surges and critical infrastructure.

Challenge

Managing dynamic public spaces requires real-time analysis of diverse data streams, but early models lacked the accuracy to simulate complex...

Solution
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Quotes

“Akila and NVIDIA have delivered a major milestone in Monaco, and a major jump in station efficiency.”

– Fabrice Morenon, Managing Director SNCF Gares&Connexions, Akila

Use case

Akila's Station operations management is part of this use case:

Autonomous Systems
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Proven impact?
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4.1Moderate
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3.9Moderatewithin Product Engineering
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The company

Akila logo

Akila

akila3d.com

AI-powered digital twin platform for building performance and sustainability.

IndustryTransportation & Logistics
LocationShanghai, China
Employees51-250
Founded2021

The vendor

NVIDIA logo

NVIDIA

www.nvidia.com

NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.

IndustryTechnology
LocationSanta Clara, California, United States
Employees10K-50K
Founded1993

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