Making AI Simple
Coegil has been helping asset managers, private equity firms, startups, retailers, and other data-driven organizations overcome the challenges of using AI to unlock the value of data within their complex system landscape.
Headquartered in New York City, USA, Coegil enjoys a global portfolio with clients in the USA, Europe, and Asia. Coegil is focused on small to medium businesses that want to employ AI to augment mission-critical teams.
Our Track RecordCoegil was founded by former leaders from Bridgewater Associates, the world’s largest and most successful hedge fund. Coegil leverages over 25 years of experience in systematic research and algorithmic execution at firms like JPL/DARPA, UBS, Merrill Lynch, HBK Capital, T. Rowe Price, and Bridgewater.
Visionaries, data scientists, and seasoned engineers make up the Coegil team with experience building world-class AI solutions that drive value and change the face of business.
Who is Coegil?
With origins in finance, Coegil was founded in 2018 to simplify and democratize access to AI, helping teams of all sizes with varying technical skills solve the world’s most challenging problems. Today, Coegil is an AI leader with a vision to provide a unified platform for all users, all data sources, all environments, and all business cases to accelerate the delivery of AI solutions for organizations of any size and in-house capability.
We have been in your shoes and our mission is to empower organizations to make superior decisions with data.
Everyone needs a bit of help in their AI journey. We are here to do the heavy lifting or handle the mundane.
Security is Paramount
Security is a 1st-class priority. Protecting your data and intellectual property is top of mind for us.
Journey Focused on Quality
Over 25 years of expertise in systematic research and algorithmic execution, at top-tier data science files such as DARPA, UBS, T.Rowe Price, HBK Capital, and Bridgewater Associates.
Coegil founded to bring best-in-class data science technology and expertise to data-driven firms not ready to spend millions of dollars per year.
Development of Research Management System, Machine Learning Lab, and AI Analytics feature sets.
Working with both small and enterprise-level customers to introduce AI insights into day-to-day operations.