Please fill out this spreadsheet, rows 2 - 4
Hello, and thank you for your request to fill in the missing data for your investor pitch. Per your request, we have found the information concerning target markets, financial investments, websites, artificial intelligence use, and LinkedIn profiles of Equifax, Experian, TransUnion, Algolytics, and Cognituum. As requested, a summary of our findings has been filled in rows 2-4 of the spreadsheet you provided. Further, I have included a deep dive into the most relevant information you requested, including target markets, artificial intelligence usage, expansion activities, and financial information.
Algolytics, Cognituum, and the "big three" all cater to a mix of different markets. Equifax, Experian, and TransUnion are focused on governments and lenders with a need to know about an individual's creditworthiness. Algolytics and Cognituum, however, focus more on the data analysis needs of businesses, with the former being concerned with large volume data sets and the latter focusing on intelligent and adaptive data analysis without the need for complex modeling or engineering on the part of the client.
Artificial Intelligence Usage
All five organizations are involved in the use or design of artificial intelligence or machine learning. Equifax has focused its artificial intelligence efforts on data mining and more convenient consumer access to credit reports, while Experian has focused its efforts on expediting credit checks as well as expanding the breadth of its analytical algorithms and data sets. Similarly, TransUnion is using machine learning to expand credit checks to encompass nontraditional data and information. Both Cognituum and Algolytics specialize in data analysis, the former focusing on adaptive and intelligent algorithms and the latter focusing on large data sets and automated predictive analysis.
Current Expansion Activities
All five organizations are working on expanding their market base. Equifax has focused efforts on making credit report access convenient for individuals, while Experian has focused on credit comparison and identity protection for individuals. Both TransUnion and Algolytics have sought out strategic partnerships to expand their market presence, while Cognituum has developed software that easily extends existing code bases to take advantage of its data analysis tools.
The "big three" are all easily classified as large companies with revenues in excess of $100 million, while Algolytics is a medium-sized company falling between $5 million and $100 million in revenues. Cognituum's size was already specified in the original spreadsheet. Similar to their revenue sizes, the "big three" are easily the largest in terms of total employees, with Equifax employing 9,500 people, Experian employing 17,000 people, and TransUnion employing 4,700 people. Algolytics is much smaller, at 51-200 employees, and Cognituum is smaller yet at 11-50 employees.
Within the investment sphere, Equifax has raised the most money in a single round of investing at $130.5 million. iXL and Kelso & Company were the lead investors. Experian came in a close second with six rounds of investing bringing in $106.1 million. Goldman Sachs was the most notable investor for Experian. TransUnion had five separate investments totaling $49.5 million with JP Morgan Chase & Company being the notable investor. Algolytics has had three rounds of investing at undisclosed dollar amounts. Giza Polish Ventures, Experior Venture Fund, and Luna Ventures were the notable investors for Algolytics. Cognituum is a privately held company with no public record of investors.
Equifax, Experian, Transunion, Algolytics, and Cognituum, while focused on different markets, are all heavily engaged or interested in the fields of artificial intelligence and machine learning. While Equifax is leveraging artificial intelligence for data mining and customer convenience, Experian and TransUnion are leveraging it to take advantage of analyzing larger and more complex data sets. Similarly, Algolytics and Cognituum are leveraging artificial intelligence to service business customers, either to analyze large data sets in the case of the former or to quickly and adaptively analyze data without complex modeling. A deeper summary of each organization's models and background can be found in the attached spreadsheet with the rows filled out as you requested.