Zeenna is an AI-driven pre-screening workflow modul for high-volume hiring, helping companies to:

→ Reach candidates faster and increase response rates with automated first contact and smart follow-ups, plags into your core ATS.

→ Validate fit early through structured AI chat pre-screening and qualification questions.

→ Reduce recruiter workload by automating repetitive screening steps and candidate Q&A.

→ Improve hiring decisions with a clear, standardized candidate summary/report for the hiring team.

Zeenna takes over the timecritical, operationally heavy part between application and human interview (the Apply-to-Interview Gap) aligned with ISO 27001:2022, SOC 2 type 2, designed for GDPR compliance, and built with an EU AI Act ready approach to transparency, accountability, and human oversight.

Founded in 2021

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Compliances (5)

Here are the compliance frameworks that Zeenna follows which showcases our adherence to industry-standard security guidelines and practices.

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ISO 27001 v2022

Certified

The updated version of the ISO 27001 standard, reflecting the latest best practices and improvements in information security management.
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SOC 2

Certified

SOC 2 Type 2 is a voluntary compliance standard for service organizations, developed by the American Institute of CPAs (AICPA), which specifies how organizations should manage customer data. The standard is based on the following Trust Services Criteria: security, availability and confidentiality.
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GDPR

Compliant

The General Data Protection Regulation, a comprehensive data protection law in the EU, governs how organizations must protect personal data and privacy.
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EU Artificial Intelligence Act

Compliant

The EU Artificial Intelligence Act is the European Union’s regulatory framework for artificial intelligence, establishing risk-based requirements for the development, deployment, and use of AI systems to ensure safety, transparency, and accountability.
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ISO 42001 v2023

Compliant

ISO/IEC 42001:2023 provides a management framework for organizations to integrate artificial intelligence (AI) systems responsibly. It addresses AI governance, risk management, ethical considerations, and compliance with regulatory and industry standards. The framework ensures AI systems are transparent, accountable, and aligned with organizational objectives while minimizing potential risks associated with their deployment.

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