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Company profilerumarocket.com ↗

Rumarocket

Rumarocket is a predictive analytics company focused on helping HR understand talent and make data-based decisions.

IT Services and IT Consulting
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Headquarters
Pasig, PhilippinesSource: RevenueBaseRetrieved October 13, 2026
Employee range
11 to 50Source: RevenueBaseRetrieved October 13, 2026
Founded
2013Source: RevenueBaseRetrieved October 13, 2026
Published list appearances
64 supported appearances ↗Source: RevenueBase lists
The company at a glance

What does Rumarocket do?

Its current AI recruitment solution uses big data and predictive analytics to predict whether an applicant will become a high performer or long-serving staff member.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

Who it serves

The company reports working with Procter & Gamble, Unilever, and Bank of China.

What the business offers

Services & capabilities.

AI recruitment solution

The solution predicts whether job applicants will become high performers or long-serving staff members, using big data and predictive analytics.

Source: LinkedIn company description · Retrieved October 13, 2026

Explore the business in context

Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

Positions describe ordering within each source list. See how lists are built ↗

Share your recognition

Embeddable award for your website

BADGE PREVIEWRumarocket listed #5 on AI agents for HR software companies, September 30, 2026Open the published source list.
Rumarocket

#5 AI agents for HR software companies

Snapshot: September 30, 2026

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Company information

Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 4, 2026. Directory positions use company-contact counts from separate saved list snapshots dated September 13, 2026, September 18, 2026, September 20, 2026, September 26, 2026, September 27, 2026, September 28, 2026 and September 30, 2026. How the company lists are built.

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