Investor targeting based on AI.

Is the machine the better broker?

With ACCNITE onDemand, you don’t have to be a data scientist to benefit from artificial intelligence to identify investors who are right for you.

We make the results of machine learning explainable.

When it comes to investor targeting supported by artificial intelligence, are you asking the same questions other IR professionals have asked before?

“So this is a purely quantitative approach to identifying target investors?”

“Aren’t the results coming from a black box?” 

“How do I know the suggestions make sense?”

Our artificial intelligence really doesn’t do anything different from how you are identifying potential investors manually. We are just utilizing a lot more data points and are producing the results for you at the push of a button.

We have recorded a 15 minute webcast to take a look inside the box.

Which approach are we using? 
How do the algorithms work? 
How are they trained? 
Why do they deliver superior results to conventional approaches?
How can you test, if a target makes sense to you?

You don’t have to be a data scientist to follow the webcast.

Watch the 15 minute webcast

Hear it from our experts

Maria Töpfer​

Maria is one of the founders of ACCNITE onDemand. She started her career in investment banking. During her roles in Equity Capital Markets and Equity Syndication, her responsibilities included target investor identification and the organisation of investor outreach.

Dr. Volker Stümpflen​

Volker is responsible for Data Science and AI at ACCNITE onDemand. Before joining he worked in different industries as well as in academic research always focusing on Big Data and AI topics. Most recently Volker developed targeting solutions for digital marketing and AI-based recommender systems for video-on-demand.

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