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Bias-Free & Proprietary AI Technology
Ethical and accurate AI technology with transparent decision-making. Trained on proprietary data and tailored to your business, HiringBranch AI is NYC Local Law 144 compliant.
Backed by In- House Scientists
Advancing responsible AI through research, validation, and industry collaboration.
HiringBranch actively contributes to the AI and broader technology community through applied research, industry collaboration, and responsible AI governance initiatives.
HiringBranch’s science team contributes to the Society for Industrial and Organizational Psychology (SIOP) community through the publication of white papers and participation in academic and industry conferences. Most recently, the team presented a research study examining the reliability of multiple-choice questions versus open-ended questions in AI-driven skills assessments, contributing to best practices in assessment design and validation. In addition, HiringBranch has published a skills-to-performance correlation report, advancing evidence-based understanding of how assessed skills relate to real-world job performance.
HiringBranch’s technology development and skills taxonomy research are supported by the National Research Council of Canada (NRC / NRCC), helping advance applied AI research and contribute to globally relevant knowledge in skills-based assessment and workforce performance.
Beyond research, HiringBranch contributes to responsible AI practices through thought leadership and governance.
AI Governance
Built with governance frameworks, regulatory compliance, and oversight processes designed for long-term trust.
HiringBranch’s AI systems are designed in alignment with EEOC guidelines, the EU AI Act’s high-risk system requirements, and the NIST AI Risk Management Framework. We ensure job-related, fair, and consistent assessments through structured validation practices, continuous performance and adverse-impact monitoring, and independent third-party bias audits. Our governance, documentation, and human-oversight processes map directly to these regulatory and standards frameworks, supported by SOC 2 Type II controls and a formal Responsible AI program.
The HiringBranch AI Governance Framework has been developed based on guidance from the Government of Canada's Algorithmic Impact Assessment (AIA), the Institute of Corporate Directors (ICD), NuEnergy AI, and has been audited by a third-party systems analyst firm, BABL AI. HiringBranch AI complies with international standards such as the GDPR, PIPEDA, PIPA, and is actively addressing emerging AI regulations globally.
We continuously monitor global legislative updates (EU AI Act, U.S. state AI hiring laws, Canadian AIDA, APAC privacy rules) through legal-intelligence services and external counsel. When regulatory changes require new disclosures, documentation, or audit capabilities, we implement them proactively and communicate updates to clients. Our cross-functional compliance group oversees this work and ensures that clients have the transparency and documentation needed to meet their own regulatory obligations.
Inside our Artificial Intelligence at HiringBranch
HiringBranch AI ingests large data sets to recognize, process, and tag text and/or voice content. It can classify, triage, personalize, and service structured and unstructured data from roles and industries. Assessment scores are fully automated, applied across assessment methods, and aggregated.
100% of HiringBranch training data is proprietary. Our Small Language Model training data is based primarily on customer performance data correlated to skills and some psychometrician and linguistic expert annotations. We are continuously building on the model and consistently scoring a 98+% scoring accuracy.
HiringBranch’s data handling practices are compliant with GDPR, CCPA, and PIPA/PIPEDA, and the company is SOC 2 Type II certified, demonstrating the effectiveness of its security, availability, and confidentiality controls over time. These frameworks govern how personal data is collected, processed, stored, accessed, and retained, with controls designed to protect confidentiality, integrity, and availability.
HiringBranch AI reads multimodal human expression from conversations. This advancement is the next generation of assessments, going way beyond multiple-choice and standardizing the decision-making process at scale. Comprised of two main algorithms, Soft Skills AITM and Intelligibility AI, each is designed using combinations of NLU, NLP, or supervised algorithms. The technology is capable of text and voice analysis using linguistic and acoustics techniques.
Soft Skills AI™
Do you want to know a candidate’s skills before hiring them? Assess soft skills with science. Methods like personality tests and interviews are unreliable, biased, and not predictive of on-the-job performance. HiringBranch Soft Skills AI is proven to measure soft skills in a given role with 98% accuracy.
Intelligibility AI
Do you want candidates who can pass a language test or candidates who can communicate with customers? Go beyond CERF and assess language skills in the context of the job. Understand a candidate’s written fluency, spoken fluency, and language comprehension together.
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