#AI--Sapia.ai, the global leader in ethical and explainable AI for hiring, today announced the release of Job Analysis Studio (JAS™) — a next-generation AI product that enables enterprises to desi...

LONDON: #AI--Sapia.ai, the global leader in ethical and explainable AI for hiring, today announced the release of Job Analysis Studio (JAS™) — a next-generation AI product that enables enterprises to design structured, science-based interviews in minutes, for faster, fairer hiring decisions.
The launch of JAS™ marks the latest innovation within Hire Brilliant™, Sapia.ai’s AI operating system for talent decisions. It gives hiring teams complete control over how they define, assess, and scale for success, without needing psychologists or consultants.
“Most AI tools automate old workflows. JAS lets you design new hiring experiences, powered by science, grounded in fairness, and fast enough to use every day,” said Barb Hyman, CEO and Founder of Sapia.ai.
Build your own AI: Structure, Science, Speed
JAS™ is a vertically integrated system that helps hiring teams:
All with complete human-in-the-loop control and explainability at every step.
The AI foundation behind JAS™
JAS™ is powered by:
Designed for enterprise use, loved by hiring teams
Built to plug into any ATS or HRIS, JAS™ is already trusted by global brands such as Qantas Group, BT Group, and Joe & the Juice. With no build time, it’s designed for real hiring environments.
About Sapia.ai
Sapia.ai is the pioneer in AI-native hiring. Built on the world’s largest structured interview dataset, our platform delivers scientifically validated insights through real conversations, not resumes or self-assessments.
Our intelligent agents JAS™, Chat Pro™, SAIGE™, and TIA™ help enterprises design, assess, and activate talent with speed, fairness, and precision.
With 7M+ interviews completed in 50+ languages, Sapia.ai powers skills-based, inclusive hiring and internal mobility at a global scale.
To learn more or book a demo, visit sapia.ai or explore our developer hub at developer.sapia.ai.
Fonte: Business Wire
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