STARTUP RADAR: STARTUP SCOUTING SYSTEM FOR BENCHMARKING & TECH DUE DILIGENCE
STARTUP RADAR is a market research and monitoring tool capable of automating the first steps of every due tech two diligence, facilitating the automatic processing of natural language through the extraction of structured data from the text and the semantic relationship between entities. Report extraction is expected to be used to identify mergers and acquisitions, startup funding and product launches. This will benefit investors and, creating a fairer playing field for end users and customers.
Start date: 05/01/2022
Duration in months: 9
Problem Description
The goal of the use-case is to create a technological solution for the scouting and benchmarking of start-ups that automates the first steps of each two diligences and makes them common. This will bring a leveling effect for investors, end users and Customers.
Goals
New services
Challenges
The main challenges of this experiment are: 1. To automate the first steps of every tech due diligence and commoditize it.2. To provide a levelling field for investors, end-user and clients.3. To facilitate reporting and benchmarking through dramatically improving the “Similar To” feature, and its “Explainability” of suggestions/recommendations.
Innovation results
Linknovate proposes scalable models based on neural retrieval, that will be used for explaining the user's recommendation.Using the biz2vec embeddings, the docs share more coincidences and produce meaningful explanations will be identified. By combining both discrete and semantic relatedness justifications on our outputs, the user will assimilate our results more naturally.
Business impact
confidential