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List of Papaya Contingent OS Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Amdocs Professional Services 29058 $5.0B United States Papaya Global Papaya Contingent OS Contingent Labor Management 2025 n/a
In 2025, Amdocs deployed Papaya Contingent OS to rapidly onboard and classify more than 200 contractors following an acquisition, focusing implementation activity in the Czech Republic. The Papaya Contingent OS deployment addressed Contingent Labor Management workflows for HR and procurement, concentrating on fast, audit-ready contractor onboarding while preserving local compliance and operational continuity. The implementation configured core contingent labor capabilities including contractor onboarding and classification workflows, worker data consolidation, and compliance documentation capture to support audit readiness. Papaya Contingent OS was used to enforce standardized classification and document collection processes, and to provision role based access for HR and procurement teams handling contractor lifecycle tasks. Technically the deployment functioned as an orchestration layer between local onboarding inputs and the enterprise vendor management system, integrating worker data into SAP Fieldglass to synchronize contractor records and preserve downstream procurement and billing processes. The integration with SAP Fieldglass carried worker master data, classification markers, and compliance artifacts to maintain continuity with Amdocs procurement workflows. Governance and rollout emphasized HR and procurement process alignment in the Czech Republic, with a rapid implementation timeline driven by acquisition needs and an operational focus on maintaining existing services. Outcomes explicitly included fast, audit-ready onboarding of 200 plus contractors and preservation of local compliance, while sustaining continuity of operations during the transition.
Datadog Professional Services 5200 $1.8B United States Papaya Global Papaya Contingent OS Contingent Labor Management 2022 n/a
In 2022, Datadog implemented Papaya Contingent OS as part of a Contingent Labor Management engagement with Papaya Global. The deployment migrated Employer-of-Record locations onto Papaya Contingent OS to deliver unified visibility into payroll and employment data across Datadog’s global EoR footprint. The implementation targeted HR and payroll workflows to centralize contingent workforce accounting and employment records. Papaya Contingent OS was configured to support EoR management and payroll orchestration, and the engagement produced BI-driven payroll insight for reporting and analysis. Configuration work emphasized payroll data normalization and centralized employment data modeling consistent with Contingent Labor Management capabilities. Operational scope covered Datadog’s global EoR footprint and the HR and payroll functions responsible for contingent workforce administration. The program converted two Employer-of-Record locations into entities as part of the rollout, reducing fragmentation of employment ownership across regions. Governance and process changes focused on consolidating payroll visibility and standardizing workforce records for contiguous operational workflows. Outcomes explicitly reported include conversion of two EoR locations into entities, simplified global workforce operations, and access to BI-driven payroll insight enabled by Papaya Contingent OS.
Tricon Energy Oil, Gas and Chemicals 400 $8.9B United States Papaya Global Papaya Contingent OS Contingent Labor Management 2024 n/a
In 2024, Tricon Energy implemented Papaya Contingent OS to centralize payroll, payments, and contingent workforce onboarding across multiple countries. Papaya Contingent OS, deployed as a Contingent Labor Management solution, established a single pane of glass for HR and finance visibility and control, with a finance focused and HR focused operational mandate. The deployment configured core capabilities for global payroll orchestration, payments consolidation, contingent worker onboarding, and worker self service, leveraging Papaya Contingent OS to standardize processes across jurisdictions. Tricon standardized payroll across 29 countries and consolidated more than 20 vendor relationships into a unified contingent labor workflow. Operational coverage centered on HR and finance functions across Tricon Energy global sites, with governance changes to vendor management and payroll processing that aligned treasury controls and onboarding workflows. The rollout emphasized vendor consolidation and centralized payments, and it accelerated onboarding while improving treasury controls and worker self service through the Papaya Contingent OS implementation.
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Buyer Intent: Companies Evaluating Papaya Contingent OS

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FAQ - APPS RUN THE WORLD Papaya Contingent OS Coverage

Papaya Contingent OS is a Contingent Labor Management solution from Papaya Global.

Companies worldwide use Papaya Contingent OS, from small firms to large enterprises across 21+ industries.

Organizations such as Tricon Energy, Amdocs and Datadog are recorded users of Papaya Contingent OS for Contingent Labor Management.

Companies using Papaya Contingent OS are most concentrated in Oil, Gas and Chemicals and Professional Services, with adoption spanning over 21 industries.

Companies using Papaya Contingent OS are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Papaya Contingent OS across Americas, EMEA, and APAC.

Companies using Papaya Contingent OS range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Papaya Contingent OS include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Papaya Contingent OS customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Contingent Labor Management.