TransVoyant
Overview
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HQ Location
United States
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Year Founded
2011
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Company Type
Private
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Revenue
< $10m
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Employees
11 - 50
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Website
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Twitter Handle
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Company Description
TransVoyant is at the forefront of the predictive analytics space. From sensors, satellites, radar, video cameras, smartphones and other devices that make up the Internet of Things (IoT), we collect over one trillion events each day, giving us one of the largest repositories of real-time big data in the world. Our proprietary Machine Learning algorithms analyze these massive big Data Streams in real-time to produce live and predictive insights that help companies to achieve competitive advantage and government agencies to save lives. For more information, visit http://www.transvoyant.com.
IoT Solutions
TransVoyant enables the digital enterprise across a multitude of domains and verticals. As industry specific challenges are rapidly becoming a thing of the past and data specific challenges become increasingly complex to solve, TransVoyant provides the capability to rapidly solve, innovate and provide fully measurable outcomes to your bottom line.
*Continuously fused, cleaned and normalized live-streamed data across your enterprise.
*Machine learning and AI enabled advanced analytics allow you to understand the past, present, and future of your business ecosystem.
*A platform with a modern architecture, easily configurable to your specifications and extensible to your unique business needs.
*Continuously fused, cleaned and normalized live-streamed data across your enterprise.
*Machine learning and AI enabled advanced analytics allow you to understand the past, present, and future of your business ecosystem.
*A platform with a modern architecture, easily configurable to your specifications and extensible to your unique business needs.
IoT Snapshot
TransVoyant is a provider of Industrial IoT analytics and modeling technologies.
Technologies
Technology Stack
TransVoyant’s Technology Stack maps TransVoyant’s participation in the analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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