SIMMACHINES

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simMachines provides similarity-oriented solutions for Advanced Analytics. Their technology enables you to discover patterns and anomalies in structured and unstructured data. You can also perform real-time recommendations to make consistent decisions that harness the collective intelligence of all the experts in your organization. Finally, their algorithms allow you to predict the outcomes of future events and interactions.Their most important feature is that they focus on telling you the WHY ... of a prediction, this allows their algorithms to comply with the most stringent Artificial Intelligence auditing rules. simMachines specializes in bringing the power of Dynamic Predictive Segmentation (DPS) to the complex world of marketing technology. Today’s consumers expect marketers to personalize their messaging, content, and digital experiences, and to demonstrate relevance to their needs and interests. To do that efficiently, the marketer needs an in-depth understanding of what predictive factors drive consumer behavior. Machine learning can help, but most ML models are “black box.” simMachines takes a different approach, using their similarity-based methodology to explain the “WHY” behind every prediction in a fully transparent way. Imagine your marketing segmentation changing as often as your customers change their mind. With simMachines, more relevant, targeted, and predictive connections with customers are the result. simMachines’ product portfolio includes verifyAI, a software platform for use in developing and visualizing dynamic predictive segmentation, and personifyAI, a web-based subscription that uses location-based mobile signal data to build behaviorally-based segmentation. Similarity machines or simMachines provides the most comprehensive set of nearest neighbor-based clustering, discovery, prediction and regression algorithms.

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SIMMACHINES

Social Links:

Industry:
Analytics Artificial Intelligence Computer Machine Learning Marketing Real Time Software

Founded:
2012-01-01

Address:
Chicago, Illinois, United States

Country:
United States

Website Url:
http://www.simmachines.com

Total Employee:
11+

Status:
Active

Contact:
(260) 632-7378

Email Addresses:
[email protected]

Total Funding:
7.45 M USD

Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Font API Apple Mobile Web Clips Icon Google Tag Manager WordPress Apache Wordpress Plugins


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Current Advisors List

john-morris_image

John Morris Independent Board Director @ simMachines
Board_member
2019-04-01

Current Employees Featured

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David Jakopac
David Jakopac Chief Development and Customer Officer @ simMachines
Chief Development and Customer Officer
2017-10-04

not_available_image

Bob Zieserl
Bob Zieserl CEO @ simMachines
CEO
2015-04-26

mark-ailsworth_image

Mark Ailsworth
Mark Ailsworth Chief Growth Officer @ simMachines
Chief Growth Officer
2019-09-25

not_available_image

David Jakopac
David Jakopac Chief Development and Customer Officer @ simMachines
Chief Development and Customer Officer
2017-10-04

arnoldo-müller_image

Arnoldo Müller
Arnoldo Müller Founder, Data Scientist @ simMachines
Founder, Data Scientist

Founder


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Arnoldo Müller

Investors List

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Microsoft Accelerator Seattle

Microsoft Accelerator Seattle investment in Non Equity Assistance - simMachines

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Arch Grants

Arch Grants investment in Grant - simMachines

Newest Events participated

microsoft-accelerators-machine-learning-cohort-3-demo-day_event_image Participated in Microsoft Accelerator’s Machine Learning Cohort 3 Demo Day on 2016-06-02 as exhibitor

microsoft-accelerator-seattle-summer-2016-demo-day_event_image Participated in Microsoft Accelerator Seattle Summer 2016 Demo Day on 2016-06-02 as exhibitor

Official Site Inspections

http://www.simmachines.com Semrush global rank: 4.29 M Semrush visits lastest month: 2.68 K

  • Host name: 52.165.238.216
  • IP address: 52.165.238.216
  • Location: Des Moines United States
  • Latitude: 41.6006
  • Longitude: -93.6112
  • Metro Code: 679
  • Timezone: America/Chicago
  • Postal: 50307

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