Investment Highlights:

The company was founded in 2022 with a bold vision to revolutionize the AI industry. The team of highly skilled and experienced professionals in financial markets is dedicated to developing explainable Al & predictive alpha for investing that forecasting intelligence outperforms professional analysts and autonomously generates financial products that outperform industry benchmarks.

The company explainable AI solutions are tailored for equity investing. Company expertise revolves around creating Smart Alpha Insights and Smart Alpha Indices aimed at empowering equity investors to make well-informed decisions, ultimately leading to superior long-term returns.

The company’s AI solution processes over 30bn data points per week, evaluating an extensive 326 proprietary factors per company across a universe of over 20,000 listed companies using its self-learning Deep Factor AI. 

The company has succeeded in being the AI provider of choice for Tier 1 hedge funds, global banks, insurance companies, and national security organizations, providing them with actionable insights and strategies for companies, countries, and the equity market as a whole.

The company currently has investment managers with a combined AUM of >$100bio who are now paying subscribers to its Smart Alpha Insights platform. The company also sells its company insights into the US government via its partnership with one of the biggest data marketplace for government. Also the company has an exclusive distribution agreement with Global Bank for a Smart Alpha index it has designed jointly, tailored for the annuity insurance market in North America.

The company aims to expand its operation in gulf region.

Fundraising History:

The company has already raised GBP 1.5 million through a combination of angel investors, family offices and a grant from UK government innovate and research agency.

Required investment and use of funds:

The company is currently raising GBP 5 million

The investment of GBP 5 million will primarily be utilized for the following purposes:

1. Product Development 26%

2. Technology (Engineering team Data and cloud) 22%  

3. Marketing and Sales 34%

4. Overheads: 19%