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VerifiedInformation Services· Founded 2020

Empirically

We help clients harness the capabilities of state-of-the-art technologies, including machine learning and big data, to achieve better outcomes from investment manager selection. The result is a sustainable, highly quantifiable competitive advantage, as well as improved transparency and documentation of decision processes. There's a lot riding on selection choices, so it's important to be sure that the framework being used to evaluate and select funds actually works to identify the best managers. That's why the Empirically approach isn't just about providing more numbers or better analytics; it also means delivering tools that directly support the decision making process. Visit our web site to explore how you can seamlessly integrate our solutions and capabilities into your existing due diligence process.

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HeadquartersNew York, United StatesEmployees1 to 10Founded year2020Websiteempirical.lyLinkedIn profileLinkedIn

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