The Leader in Enterprise-Class Artificial Intelligence

The most recognized brand in enterprise-grade AI for one simple reason: we get deployed.

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What Makes Ayasdi Different

Intelligence

Our brand of intelligence has certain characteristics, most notably the capacity to justify its actions, making it unique in the market.

Application Framework

We believe that intelligence goes to market through specific applications and have a suite of technologies that facilitate their design and development.

Enterprise Scale

Secure, reliable, manageable, and field tested to scale algorithmically and computationally on some of the world’s most complex problems.

The Buzz

Industry-Leading Recognition
Industry-Leading Recognition Trusted by Top-Tier Clients Praise From Our Users

Artificial Intelligence 100

Ayasdi Named to the 2017 AI 100 by CB Insights, January 2017

RiskTech 100 2018

Ayasdi Wins RiskTech100 Artificial Intelligence Category, October 2017

World Economic Forum

Ayasdi Awarded as Technology Pioneer by World Economic Forum, August 2015

Forbes Fintech 50

Ayasdi Wins The Forbes Fintech 50, February 2018 

CRN

Ayasdi Makes CRN’s List for the Fourth Consecutive Year, December 2017

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Mt. Sinai

As one of the largest medical genetics centers in the United States, we conduct pioneering research to identify the genetic susceptibilities--or predispositions-- of many diseases, including cancer. Ayasdi has already helped us glean new insights that will lead to breakthrough drug discoveries.

Citi

The Ayasdi software will be at the center of Citi’s Data Center of Excellence. By automating the data-to-value process, Citi will be able to reduce the time to insights, saving them and their customers millions of dollars.

Mercy

Mercy is committed to using advanced technology to transform healthcare. Working with Ayasdi, we are taking a powerful new approach to care pathways, using data as never before to deliver the transformative health experience that Mercy strives to provide every day.

Siemens

Ayasdi is collaborating with this global technology powerhouse helping them to accelerate insight discovery from their most challenging and complex problems.

Lockheed Martin

Ayasdi is partnered with this leading global security and aerospace company to uncover insights from complex, multi-attribute program performance data – previously hidden or overlooked by conventional analytics.

Novo Nordisk

Ayasdi is working with this global healthcare company and leader in diabetes care to expedite drug discovery and craft precise treatment paths.

More Of Our Clients

Intermountain Healthcare

"Intermountain has led the industry when it comes to understanding and managing clinical variation. We have been impressed by Ayasdi’s technology and are optimistic for the impact this could have on our mission of helping people live the healthiest lives possible."   Lee Pierce Chief Data Officer, Intermountain Healthcare

Citi

"We're excited by Ayasdi's unique capability to let users find insights automatically from large, complex data sets. Their ability to abstract away complexity thereby making powerful machine learning tools accessible to ordinary business users is particularly promising."   Ramneek Gupta Managing Director, Citi

Mercy

"Mercy is committed to using advanced technology to transform healthcare. Working with Ayasdi, we are taking a powerful new approach to care pathways, using data as never before to deliver the transformative health experience that Mercy strives to provide every day."   Vance Moore Senior Vice President, Operations, Mercy

UCSF

"Traumatic brain injury remains a major cause of death and disability. Using Ayasdi’s solution we identified distinct groups within the patients enabling us to tailor effective treatment that increases survival rate. This is a major breakthrough in TBI diagnosis and treatment!"   Adam Ferguson Assistant Adjunct Professor of Neurological Surgery, UCSF Medical Center

Bavarian Nordic

"Ayasdi's use of Topological Data Analysis (TDA) is ground-breaking, and Ayasdi's technology makes it easy for anyone to mine and discover insights in large, multi-dimensional data sets to drive rapid innovation in clinical trials and drug discovery."   Amanda Enstrom Research Scientist, Bavarian Nordic

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