User:SampsonCole/sandbox

= Eigen Technologies = Eigen Technologies is a technology company which specialises in artificial intelligence. Eigen provides a document ai platform which applies the power of machine learning and natural language processing to substantial documents of unstructured data to help extract information and insight. Eigen's technology is used most commonly by financial services institutions for document review. It was founded in 2014 by a Harvard graduate Dr. Lewis Z Liu, current Chief Executive Officer, and Jonathan Feuer, and has offices in London and New York.

History
While studying for a PhD at Oxford University, Lewis Liu developed a new class of X-ray lasers, while also advising Linklaters on a variety of financial topics. The physics behind this laser forms the core of Eigen's technology. Although Eigen does not actually use lasers, the principle was all about making things 'cheaper and more scalable', and this idea and Lewis' existing corporate relationships are 'how Eigen started' The company was founded out of London in 2014.

In June 2018, Eigen held a Series A funding round, led by Goldman Sachs Principal Strategic Investments and Temasek which raised £13m. This was followed by a Series B round in November 2019, which was co-led by Lakestar and Dawn Capital and raised £29m, before a further $5m injection from Dutch finance group ING in March 2020.

In November 2020, Eigen Technologies and ING won the FT Intelligence Business award for financial services, with estimates that their collaboration cut the cost of reviewing thousands of documents by 60%.

Eigen works with one third of all G-SIBS and its valuation is estimated at around $150m to $180m

Service
Eigen's AI technology can be used to review large numbers of documents using natural language processing to identify legal clauses and obligations. Eigen's focus is on unstructured data, and the ability to parse it quickly and securely using just a few samples. Its algorithms scan texts to identify patterns and provide answers to specific questions, and while typical AI and machine learning systems need to be trained on large data sets, Eigen promises to learn from just two to 50 examples.