List of Zappyhire Robotic Video Interview Customers
Kochi, 683503,
India
Since 2010, our global team of researchers has been studying Zappyhire Robotic Video Interview customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Zappyhire Robotic Video Interview for Video Interviewing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Zappyhire Robotic Video Interview for Video Interviewing include: Baby Memorial Hospital (BMH), a India based Healthcare organisation with 2000 employees and revenues of $200.0 million, Jiffy.ai, a United States based Professional Services organisation with 200 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Zappyhire Robotic Video Interview, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Zappyhire Robotic Video Interview customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Baby Memorial Hospital (BMH) | Healthcare | 2000 | $200M | India | Zappyhire | Zappyhire Robotic Video Interview | Video Interviewing | 2018 | n/a |
In 2018, Baby Memorial Hospital (BMH) implemented Zappyhire Robotic Video Interview as a Video Interviewing application to accelerate high-volume nurse recruitment across its India-based hospital operations. The deployment targeted clinical hiring workflows during the Covid second wave period, prioritizing rapid screening and time-to-offer for nursing roles to support patient care demand.
The Zappyhire Robotic Video Interview implementation focused on asynchronous video interviewing and AI-driven screening capabilities common to Video Interviewing platforms, including configurable question sets, automated candidate scheduling, and machine-assisted shortlisting. Configuration emphasized standardized interview templates and consistent evaluation criteria to reduce recruiter variability during surge hiring.
Operational coverage centered on the hospital’s recruitment and HR teams responsible for nursing staffing, integrating the Video Interviewing application into existing hiring workflows rather than replacing a named prior system. The solution was used for high-volume intake, enabling recruiters to triage candidate pools and advance qualified nurses to subsequent clinical checks and onboarding processes.
Governance changes included adoption of structured interview guides and centralized candidate review workflows to support consistent decision making during the rapid hiring campaign. The implementation of Zappyhire Robotic Video Interview enabled Baby Memorial Hospital to hire nurses in record time, an outcome explicitly reported as ensuring hundreds of patients received much needed care during the surge.
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Jiffy.ai | Professional Services | 200 | $50M | United States | Zappyhire | Zappyhire Robotic Video Interview | Video Interviewing | 2019 | n/a |
In 2019, Jiffy.ai deployed Zappyhire Robotic Video Interview to automate and compress its candidate screening workflow. Zappyhire Robotic Video Interview, classified as Video Interviewing, was applied to the recruiting function to accelerate shortlisting and align candidates with opportunities in a fraction of the time.
The implementation configured custom competency profiles and a semantic resume parser to surface skills and fit signals, combined with a recruiting chatbot to manage initial candidate engagement. The solution included an AI enabled video interview engine and both technical and personality based assessments to produce a consolidated 360 degree candidate summary for recruiters and hiring managers.
Operationally the deployment simplified a multi stage interview process by automatically scheduling interviews with shortlisted candidates at times convenient to both interviewer and candidate, removing many hours of manual coordination. The automated workflows targeted talent acquisition and hiring managers, enabling faster routing of candidates to the appropriate roles.
Governance centered on standardizing competency profiles and assessment criteria to ensure consistent shortlisting and decision support across hiring teams. The implementation delivered compressed screening cycles and automated coordination that supported more efficient recruiter and hiring manager collaboration.
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