Your data, in one place, in real-time

Centralise ALL your data from your existing systems
Assess your risk and exposure based on trustworthy, up to date data
Up-to-the-minute understanding of your best and worst performing assets
Increase the efficiency and productivity of your existing team.

Understand every aspect of your funds at any point in time

Automated: connect to third party data feeds to remove manual copy/paste of data
Accurate: remove the potential for human error in assembling data
Audited: every updated data point, captured by date and by updater
Accessible: assess your positions based on timely data

Level the tech playing field

Level the playing field against the largest and most sophisticated Asset Managers.
Utilising your existing systems to:

Gain a competitive advantage by structuring and centralising your data
Embrace the cloud to instantly secure and protect your data
Present data to your clients in real time, from any device
Prepare your data to take advantage of AI

Solutions we offer

AI and Machine Learning Data Preparation

Prepare and structure machine-readable data for planned and future AI and machine learning applications, and advanced analytics. Positions firms to leverage AI for predictive insights, anomaly detection, and enhanced data-driven strategies.

AI and Machine Learning Data Preparation - Insig AI
Cloud Integration and Data Security Consulting - Insig AI

Cloud Integration and Data Security Consulting

Help firms migrate to a cloud environment to secure data, make it easily accessible, and enable real-time updates. Provides secure, scalable data storage solutions and offers flexibility for accessing data across devices and locations.

Data Feed Automation and Integration

Set up automated connections to third-party data feeds to reduce manual data entry/copy-paste and ensure timely, accurate updates. Eliminates repetitive manual tasks, reduces the risk of human error, and ensures that data remains current.

Data Feed Automation and Integration - Insig AI
Machine Learning in Asset Management - Insig AI

Machine Learning in Asset Management

We combine machine learning methods with cloud computing power to target outperformance over investment benchmarks and traditional statistical analytics. Non-linear machine learning techniques are well-suited to model the complexities in financial markets.

All of these help to reduce dependence on Excel, where Excel has started to reach its limits