mobileLIVE buying intent
5 tracked signals — top 5 topics below.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a mobileLIVE employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Top accounts researching mobileLIVE
names withheld on the public pageCompanies whose people mention mobileLIVE in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning mobileLIVEReal public activity that surfaced mobileLIVE in a tracked topic. Not a sentiment score — just what people actually wrote.
They said $54M. They delivered it for $2.6M instead. Here’s how. https://lnkd.in/eQq2Vx8U Problem • Critical systems managing $12B in assets and 500+ projects were outdated • Staff relied on manual spreadsheets and duplicate data entry • Three failed replacement attempts since 2016 • Vendor proposal: $54M, 4 years, and only half the solution Solution • Cancel traditional procurement • Build internally with a small, AI-enabled team • Launch PRISM to replace both systems Tools Used • Claude, Copilot, Gemini • Google enterprise AI infrastructure • Rapid prototyping tools like Loveable • Custom AI pipelines for requirements and data processing Process • Small, cross-functional team with domain expertise • Two-week release cycles • Continuous feedback from 643 active users • AI-assisted workflows: • Turned 50+ hours of system videos into structured requirements in minutes • Built prototypes in real time with users • Automated documentation and data modeling Outcome • Both systems live in production • 643 government employees actively using them • Total projected cost: ~$2.64M • Delivery timeline: months, not years • ~95% cost reduction Benefits • Eliminated manual, repetitive work • Real-time access to critical data • Faster and better decision-making • Significant taxpayer savings • Higher trust through rapid feedback loops • Non-technical staff contributing to product design using AI Bottom line AI did not replace people. It amplified a small, capable team to deliver better results faster and at a fraction of the cost.