Multi-Language Analytics

Multi-Language Analytics

DU Case study

95%

95%

Reduction in Cost

Reduction in Cost

98%

98%

Production Time Decrease

Production Time Decrease

Project Overview

Industry

M&A Consulting

AI Solution

Co-Occurrence LLM

Quick Brief

Deloitte’s Emerging Technology and Global Markets team was looking to detect M&A activity ahead of the market.

Customer Pain Points

Reliant on public new reports

No edge over competition

Slow reaction times

What We Delivered

2 AI modules that took data from company profiles and news sources to see if companies were increasingly linked. We then used AI reasoning to give M&A alerts to relevant cases.

End Results

Edge over competition

Enhanced decision making

Opened new possible strategies

Introduction

Developing a competitive edge in the M&A deal-flow space can be incredibly difficult. Banks and corporate advisors are constantly on the look out for ways to detect and gain access to the latest corporate M&A in real time.

Predicting M&A can be notoriously difficult, but having an early indication on merger activity can be highly valuable to anyone whose business relies on this sort of market activity.

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© 2025 Perlon Labs (trading as Perlon AI Ltd). All rights reserved.

© 2025 Perlon Labs (trading as Perlon AI Ltd). All rights reserved.

© 2025 Perlon Labs (trading as Perlon AI Ltd). All rights reserved.

© 2025 Perlon Labs (trading as Perlon AI Ltd). All rights reserved.

© 2025 Perlon Labs (trading as Perlon AI Ltd). All rights reserved.