KitaHQ Trust Center

KitaHQ Trust Center

KitaHQ brings structure and speed to candidate evaluations without removing human judgment from the hiring process. We help employers run consistent, job-relevant hiring workflows while supporting a more structured, transparent candidate review process.

Our Approach

Every Hiring Decision Stays with Your
Team

While your team can automate routine administrative tasks, such as sending interview invitations and reminders, an authorized recruiter must personally review each candidate’s information and assessment results before deciding whether to reject or advance them. Your team retains full ownership of and accountability for every hiring decision.

Transparent Scores You Can Explain and Defend

Alignment rankings reflect how well a candidate's demonstrated experience matches your explicit job criteria. They serve as clear, reviewable decision support for human recruiters, not black-box predictions of future job success. Because technology relies on clear audio and text inputs, background noise or accent variations can occasionally affect transcriptions, which is why human oversight remains essential to ensure every candidate is evaluated fairly.

Evaluated on Skills, Not Demographics or Surface Traits

KitaHQ evaluates candidates strictly against the job requirements set by your recruiters. While video and audio submissions naturally contain visual and vocal data, our models are structurally designed to ignore them. The system does not analyze appearance, facial expressions, inferred emotions, age, gender, race, accent, or vocal tone.

Enterprise Security Built for Sensitive Candidate Data

We protect candidate and company information using enterprise-grade safeguards, including end-to-end encryption in transit and at rest, role-based access controls, multi-factor authentication, and continuous threat monitoring. Our internal controls map directly to AICPA SOC 2 standards, ensuring your data remains private, secure, and used exclusively for your hiring workflows.

Explore KitaHQ Trust

Responsible AI

Learn what KitaHQ's AI processes, what outputs it creates, how those outputs should be interpreted, where automation may occur and how human responsibility is maintained.

Fair Hiring Practices

See how job-related criteria, structured interviews, recruiter reviews, accommodations and employer responsibilities fit together.

Security Control

Review KitaHQ's documented security controls, data-protection approach, evidence process and incident contact route.

Candidate Guide

Understand how to prepare for a KitaHQ AI video interview, how AI is used, how to request help and where hiring decisions are made.
Every performance metric and case study featured on our site comes directly from real customer data and actual hiring results. We share the context behind every outcome so your team can evaluate what to expect accurately.
Request supporting evidence

Country-Specific Trust References

KitaHQ uses one global Trust Center with country sections. Each section connects the most relevant Privacy, Responsible AI, Fair Hiring and Security evidence to the laws, regulations and frameworks that may apply in that market.

United States

Equal Employment Opportunity
NIST AI Risk Management Framework, EEOC employment laws, applicable state privacy laws and state/local automated employment rules.
Risk Management & Transparency
Mapped against the principles of the NIST AI Risk Management Framework (NIST AI RMF) for human oversight, transparency, and explainability.
Data Privacy
Supports state privacy frameworks (e.g., CCPA/CPRA) by honoring data subject rights, role-based access, and transparent pre-interview disclosures.

United Kingdom

Data Protection
Supports employer governance under UK GDPR and the Data Protection Act 2018, maintaining clear processor/controller boundaries and ensuring candidate data is not used for AI model training.
Fair Recruitment
Aligns with ICO Guidance on AI & Data Protection and ICO Recruitment Guidelines through human-in-the-loop oversight (no automated rejections).

Canada

Privacy & Transparency
Aligns with PIPEDA and provincial privacy laws (e.g., Quebec Law 25, BC PIPA) by providing clear pre-interview transparency notices regarding AI-assisted transcription and assessment.
Job Posting Disclosures
Supports employer compliance with Ontario Employment Standards Act (ESA) requirements for transparent AI usage disclosure in hiring workflows.

Australia

Aligns with the Privacy Act 1988 (including APPs) and OAIC guidelines by maintaining explicit recruiter accountability for all candidate progression decisions.

New Zealand

Designed to support Privacy Act 2020 Information Privacy Principles (IPPs 3A, 5, and 12) covering indirect data collection notices, security safeguards, and cross-border data handling.

Singapore

Data Protection
Supports employer privacy practices relevant to the Personal Data Protection Act (PDPA), including candidate information, access controls, and documented retention practices.
AI Governance
Built in line with the IMDA Model AI Governance Framework and Tripartite Guidelines on Fair Employment Practices (TAFEP) for human-centric AI assistance.

Malaysia

Data Protection
Aligns with the Personal Data Protection Act 2010 (PDPA) and recent 2024 amendments governing data processor obligations and secure candidate record management.
Ethical Standards
Follows MOSTI National Guidelines on AI Governance and Ethics (AIGE) for fair, job-relevant candidate evaluations.

Indonesia

Data Protection
Aligns with Law No. 27 of 2022 on Personal Data Protection (UU PDP) regarding candidate rights, processing transparency, and consent mechanisms.
AI & Employment Ethics
Built in accordance with Kominfo Circular Letter No. 9 of 2023 on AI Ethics and Manpower Law standards prohibiting non-job-related discrimination.

Germany and the European Union

EU GDPR
Designed to support Article 22 human-in-the-loop safeguards by serving strictly as decision-support software where authorized recruiters confirm all rejection and progression actions.
Germany
Supports BDSG Section 26 standards for employee/candidate data processing and General Equal Treatment Act (AGG) principles by evaluating candidate inputs solely against objective criteria.

Questions or Concerns

Questions about personal data processing, privacy rights or our Privacy Notice.
Questions about platform access, functionality, errors or technical issues.
Contact the hiring employer. Employers control hiring decisions, application status updates and accommodation requests. Employers are responsible for decisions and communications.