Groundhog Technologies Alternatives

Unlock deep insights into subscriber mobility and behavior, enabling operators to optimize network performance and monetize their unique data through targeted advertising.
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Conviva

If you're looking for a Groundhog Technologies alternative, Conviva could be a good candidate. Conviva's Operational Data Platform is designed to address Quality of Experience (QoE) issues, using real-time user behavior and system performance data to monitor and alert on issues with AI-driven alerting. The platform can help mobile operators identify and resolve QoE problems that affect revenue, conversion and engagement, similar to Groundhog Technologies' CovMo Geolocation and Mobility Intelligence Platform.

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B-Yond

Another contender is B-Yond, an AI-powered platform designed to optimize network diagnostics for telecommunications operators. B-Yond automates packet analysis and root cause analysis so it's faster and more economical to identify network problems. The features can help operators keep their networks up and running at a high level and cut operations costs, similar to Groundhog Technologies' Mobility Intelligence Platform.

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INRIX

If you're looking for a more mobility-focused option, you could also check out INRIX. The platform combines rich transportation data with generative AI to offer real-time traffic, crash, parking and signal analytics. It offers detailed insights into traffic patterns and mobility behavior that can help with network performance and subscriber mobility, similar to RealMotion's COVID-19 response.

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CellRebel

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MOCA

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Mojio

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Mist

Transforms traditional wireless networks into predictable, reliable, and measurable experiences, providing real-time insights and automating tasks for improved IT productivity.

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Aprecomm

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SamKnows

Automatically detects and diagnoses internet performance issues to ensure optimal customer experience.

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Intent.ai

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Amdocs

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Geotab

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Spatial.ai

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Anagog

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Lifemote

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BigDataCloud

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AdTheorent

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Appier

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Optimove

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MoEngage

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Arity

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Cloudmark

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Apptopia

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Resonate

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