Problem to Address: It is a daily job for M&A practitioners to list potential acquirers for a specific business, or screen acquisition targets in accordance to certain criteria. Such work could usually take long hours to finish and involve reviewing information from multiple sources.
Techniques: Our system has adapted state of the art information retrieval, information extraction, semantic matching, reasoning, ranking, machine translation techniques to merger and acquisition related applications.
Data: Our data comes from company filings, financial statements, earning calls, news, recent acquisition transactions, recent funding rounds, and newly published research papers and patents, etc. The data is integrated in a knowledgebase, and updated in real time.