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Intelligent investment analysis of early-stage companies

Objective

The European startup ecosystem is booming. It has attracted more than $3.5bn of venture funding in Q3 2015, the highest in 5 years. A major factor fueling this growth is a higher-resolution venture finance industry, which has opened up the traditional Venture Capital (VC) space to new types of early-stage investors: angels, crowdfunding networks, accelerators and micro-VCs.

The challenge these early-stage investors face is the lack of commercially available business intelligence tools to support the decision-making process. The high-risk nature of early-stage investing increases the odds of mis-allocating capital and is raising concerns from industry professionals and regulators alike.

Crowd Analytics is a first-of-its-kind large-scale data analytics and visualisation platform that helps investors assess the risk profile and investment-readiness of early-stage companies. The system collects structured and unstructured data from a number of public and private sources, correlates them using proprietary algorithmic analysis, deduces relevant insights and presents them to the user in an intuitive and structured manner.

This results in reliable, data-driven insights across the complete spectrum of early-stage investment opportunities that will be offered through a subscription service.

Field of science

  • /social sciences/economics and business
  • /natural sciences/computer and information sciences/data science/business intelligence
  • /natural sciences/computer and information sciences/data science/data analysis

Call for proposal

H2020-SMEINST-1-2015
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

CROWD ANALYTICS LTD
Address
20-22 Wenlock Road
N17GU London
United Kingdom
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000