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Asset management software: Linedata AMP for Asset Managers

Reimagine your operations, transform the way you do business with our Asset management software

 

Whether you’re an institutional manager or wealth advisor, Linedata’s innovative Asset Management Platform – AMP – delivers all your business needs on a single platform to adapt nimbly to our changing world.

Cloud-enabled software, collaborative expertise with integrated data and analytics, and the flexibility of modular design enables better decision-making, streamlines processes, and empowers scale and innovation. Features like an intuitive trading UI and web-based model management deliver value and drive growth, so you can reimagine your business and respond to any challenge.

Introducing Linedata AMP

 

 

Insights

Asset Managers
Factsheet
Asset Managers

Reimagining Asset Management solutions Transforming the way you do business.

MFO case study
Case Study
Creating Operating Efficiencies with Portfolio Management

A large multi-family office struggled with the time, effort, and cost of supporting the sophisticated investment strategies of its institutional clients.

MFO Case Study
Case Study
Growing Multi-Family Office recharges technology operations with Linedata's cloud-based, integrated portfolio management AMP platform

Highly integrated, automated and auditable solution leverages MFO’s technology, process and expertise to drive scale and efficiency

webinar replay
Webinar Replay
How Linedata Is Optimizing Cloud with DevOps

Over the last few years, Linedata has been transforming itself into a cloud-native next-generation asset management platform. 

adding alpha
Blog
Adding Alpha Through Agility

Linedata’s head of North America asset management, Bob Moitoso, talks about the steps our clients are taking to improve competitiveness.

AMP for MFO factsheet
Factsheet
Linedata AMP for Multi-Family Offices

Enhance your reputation as a trusted client partner and give your business the edge to drive growth

 

 

    Whitepaper

 Setting out the Business Case
  for AI and Machine Learning Adoption?

 

 

    Learn more

 

 

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