Ethical AI for hiring.
Built on science you can trust.
Sapia.ai has pioneered AI-powered structured interviewing since 2018.
Grounded in behavioural research and validated through millions of interviews and real hiring decisions worldwide.
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Skills-based hiring that doesn’t guess

Most hiring AI relies on indirect signals, CV keywords, video cues, or voice patterns. These inputs introduce noise and bias and often say little about job performance.

Sapia.ai takes a different approach, measuring skills directly. We digitised the structured behavioural interview, widely recognised as the most predictive and equitable selection method in organisational psychology. By using a chat-based interview we focus only on what candidates say, rather than how they look or sound, assessing job-relevant competencies consistently and fairly.

Why measuring skills is critical for skills-based hiring

Proven at enterprise scale

Good science needs objective evidence. Our AI interview models are validated on the world’s largest proprietary dataset of fair, structured interviews.
8M+
Structured AI Interviews
3B+
Words of candidate text
77
Countries
0
Free from the bias of resumes and video data.
Real-world validation

This is not synthetic or experimental data. It is real hiring evidence, continuously tested for validity, fairness, and performance. We use large language models as reasoning engines, but never trust them blindly. We monitor for bias in production and validate predictive accuracy against real business outcomes over time.

See the outcomes our customers experience
Independently validated research
Our methods have been published in peer-reviewed journals and presented at leading scientific conferences, covering ethical AI, candidate experience, and bias mitigation.
Explore our whitepapers
Job Analysis Studio
Jas ensures roles are measured against validated behavioural competencies, so our AI interviews measure what actually drives performance for that role.
Structured Chat Interview
Every candidate completes the same structured, text-based AI interview, designed to reduce bias, increase accessibility (blind, untimed and mobile-friendly), and improve completion.
Explainable scoring
Our proprietary scoring engine SAIGE™ applies consistent, explainable scoring using the power of LLM reasoning, while Talent Insights shows the evidence behind every score using the candidate’s own words and natural language explanations. It takes the “black box” out of the AI recommendation by breaking down the "why" behind every score.
From potential to performance, measured
Structured skills profiles ensure candidates are assessed consistently against the capabilities that matter for the role,
and validated against real outcome data.
Applied
Hired
Performed
Explainable and governed by design

Explainability is built into every stage of the process, ensuring that our AI is understandable by all users and stakeholders. Our FAIR™ Framework has guided our approach since 2018:

  • Fair: adverse impact is measured and monitored
  • Accurate: scores are linked and validated against real outcomes
  • Interpretable: clear rationale behind every recommendation
  • Inclusive: text-first,blind, untimed design supports diverse candidates
Read the FAIR Framework
AI Governance
Our model makes Sapia.ai suitable for enterprise governance and regulatory scrutiny.
Science that powers the platform
Hiring is a complex human problem, not merely an AI task. Our in-house Sapia Labs team brings together Organisational Psychologists, NLP Researchers, ML Engineers, and HR Practitioners to solve it responsibly.
Skills and performance insights you can trust
Fair opportunity for every candidate
Defensible hiring decisions
Measurable outcomes

Ready to start hiring brilliantly?

See the potential in everyone — and find the people who belong with your brand.
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