Dealigence

Dealigence Overview

Dealigence is developing tools designed to alleviate some of the toughest challenges around start-up deal-making: understanding who invests with whom, who might be a round leader, sorting investors's hitlist to match the startup, all backed by data, powered by machine learning algorithms. The company's proprietary ML algorithm, FundRaising Hitlist, is used for matching the most relevant investors to a startup wrapped in an easily digested report. It can be used by founders looking to get a curated and sorted list of investors matching their company and upcoming round; by investors who come across a 'hot startup' and want to quickly get a statistically sorted list of the most likely investors to be either friends or foes for this deal; and, for advisors/service providers who wish to be a value add to a startup they work with. The company's VC Explorer allows seeing VC deal connectivity over funding stages, industries, business models and tags. In addition, it allows its users to read a concise brief about a prospect VC reviewing their latest investments and most common co-investors. Users can also use VC Explorer for exploring lead/follow funds and gain an understanding of their investments collaborators. The tool can also be used for portfolio analysis of an investor.

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Team Members

1

Employees: 1-10

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Yigal Alon Street 114, Tel Aviv-Yafo, Israel

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Dealigence Internal

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