Our Responsible AI Pledge
We don’t automate hiring decisions, we don’t collect protected-class data and we strive to make our AI understandable, transparent and fair.
Human Oversight, Always
Decisions belong to your hiring managers; our platform informs, not replaces judgment.
Security you can trust
SOC2-ready posture with encryption in transit and at rest, MFA and role-based access.
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Minimal data, by design
We only collect what’s required to deliver value (e.g., name, work email, role and sales performance data).
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No protected-class data
We do not collect or request gender, race/ethnicity, age, disability status or other legally protected attributes.
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Backed by Science
Our assessment is rooted in validated behavioral science. For every candidate, you’ll see not just the outcome, but why the model arrived there to give you the clarity to make confident and fair decisions.
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Fairness practices
We design our models to avoid hidden shortcuts and continuously monitor them so that results don’t slip over time. By building benchmarks specific to each sales role, we ensure predictions are both accurate and relevant to your team.
Appropriate Use Guidelines
Use the Q-Assessment after candidates enter your hiring pipeline
Treat outputs as decision support, not automated decisions
Pair scores with structured interviews using our individualized questions
Document job-relatedness and business necessity for each role
Train hiring teams for fair, consistent use
Responsible AI You Can Trust
Transparent methods, minimal data and human judgment at the center.