The knowledge engine for finance
Location: United Kingdom
Source: EU Funding & Tenders Portal
Economic growth and competitiveness are dependent on the investment in companies in order for them to innovate and advance. But the majority of merger and acquisitions deals end up failing and depleting the value of the companies involved. This in part because proper analysis and data driven decision are not being made during these deals. The current solution to this problem is human analysis, whi
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Economic growth and competitiveness are dependent on the investment in companies in order for them to innovate and advance. But the majority of merger and acquisitions deals end up failing and depleting the value of the companies involved. This in part because proper analysis and data driven decision are not being made during these deals. The current solution to this problem is human analysis, which takes a lot of time and effort and is very cost intensive. Using natural language processing, machine learning, and knowledge graph technology, Plural AI has developed a beta version of a data science platform for financial analysis capable of generating data driven reports on financial markets and potential acquisition targets. Plural AI is a gamechanger as it provides answers to complex questions and allows humans to focus on decisionmaking and strategy. Corporate finance is still behind technologically, meaning that a lot of their financial analysis continues to be unsophisticated and inaccurate. Plural AI is on the forefront of AI powered financial analysis technology. Plural AI can help to bring corporate finance to the future, helping companies to make better financial decisions. This will position us to gain a share within the €5 billion global AI fintech market. To reach our goal of changing the market and reaching a market share of 5-20% with €89 million revenues by 2024, we plan to follow a SaaS model based on an annual licence fee. Our customers are investors focused on private companies (private equity / venture capital (PE/VC)), strategic investors (internal M&A/corporate development arms of large firms), investment banks and other corporate finance advisors/consultancies. Plural AI’s technology has the potential to reduce instances of fraud in the investment process. It can also help to maximize Europe’s investments and build strong long-lasting relationships between companies. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
