Monday, 14 August 2017 12:17

Ansarada launches AI system for financial dealmakers

Ansarada launches AI system for financial dealmakers Image courtesy of COOLDESIGN at

Global deal execution platform Ansarada has launched AI Bidder Engagement Score, claimed as a “world-first” artificial intelligence system that can accurately predict bidder outcomes in financial deals using anonymised data from more than 20,000 global transactions worth billions of dollars.

Built in collaboration with data science firm Quantium, the AI Bidder Engagement Score analyses a potential bidder’s activity in the virtual data room and, according to Ansarada, predicts bidder outcomes with up to 97% accuracy, meaning dealmakers can focus on winning business, closing transactions and maximising value.  

Ansarada Founder and chief executive Sam Riley says the product is a major milestone in Ansarada’s strategy to disrupt the legacy virtual data room industry through AI and machine learning to revolutionise mergers, acquisitions and all material events a business may go through.

“For decades, businesses and their advisers have struggled to prepare for their most important material events, and then had to navigate them essentially in the dark. The Ansarada Bidder Engagement Score provides businesses and their advisers with powerful insights on bidder behaviour, giving dealmakers an unprecedented edge in closing deals faster, removing inefficiency and driving positive outcomes.”

{loadpositiion peter}“When we established our data analysis team over two years ago, we wanted to create a whole new category of product that not only built on our existing platform, but completely revolutionised it,” says Ansarada chief product officer Matthew Brown.

“This is the first step in achieving that goal. This intelligence is invaluable for customers and will help them get ahead of competitors still using legacy tools.”

Quantium executive director Greg Schneider says Bidder Engagement Score uses machine learning to evaluate behaviour in real time, drawing from data on tens of thousands of Ansarada deals.

“This system will well and truly shake up the finance industry and how business is done, and we’re proud to have been part of its development.”

Here’s how Ansarada says Bidder Engagement Score works:

  •     The Bidder Engagement Score uses a machine learning technique known as a generalised boosted model, built-in collaboration with Quantium, to analyse the behaviour of bidders collected from the anonymised data of more than 20,000 deals completed on the Ansarada platform.
  •     The Bidder Engagement Score analyses 57 engagement metrics across 12 categories including logins, document views, questions asked, number of users within the bidding group, individuals regularly logging in, document views by C-Suite users, percentage of documents viewed, time between logins, early morning document views, weekend document views, time taken to view new documents added, and bidder type.
  •     The algorithm learns from new behaviours being exhibited in data rooms to ensure it always offers the most accurate insights possible.
  •     Businesses and advisers navigating deals on the Ansarada platform can receive real-time notifications and alerts about updates to their Bidder Engagement Score.
  •     The system is one of several AI-fuelled features to be released by Ansarada in the near future.


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Peter Dinham

Peter Dinham is a co-founder of iTWire and a 35-year veteran journalist and corporate communications consultant. He has worked as a journalist in all forms of media – newspapers/magazines, radio, television, press agency and now, online – including with the Canberra Times, The Examiner (Tasmania), the ABC and AAP-Reuters. As a freelance journalist he also had articles published in Australian and overseas magazines. He worked in the corporate communications/public relations sector, in-house with an airline, and as a senior executive in Australia of the world’s largest communications consultancy, Burson-Marsteller. He also ran his own communications consultancy and was a co-founder in Australia of the global photographic agency, the Image Bank (now Getty Images).



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