Skills data you can trust for high-stakes decisions.
Workera produces decision-grade skills data by measuring observable behavior through structured, job-relevant tasks and governed AI scoring. Grounded in I/O psychology and modern psychometrics, results are transparent, auditable, and built to support confidence in critical talent decisions.
The people behind the science.
Kian Katanforoosh
Founder & CEO
Kian leads Workera’s scientific vision at the intersection of AI, skill measurement, and human potential. As CEO and founder, he focuses on building AI systems that are transparent, interpretable, and suitable for high-stakes decisions about people.
Outside of Workera, Kian co-created the Deep Learning Specialization with Andrew Ng, completed by millions of learners worldwide, and teaches widely adopted Deep Learning course as an adjunct professor at Stanford University.
AI at global scale
Co-created Deep Learning with Andrew Ng
Instructor of widely adopted Stanford AI courses
Author of foundational AI materials used globally
Responsible AI leadership
Focus on interpretable, transparent AI for high-stakes decisions
Leadership in robustness, model behavior, and accountability
Leading Workera’s approach in responsible AI
Awards
World Economic Forum Technology Pioneer (2025)
Walter J. Gores Award for Excellence in Teaching (Stanford)
Forbes 30 Under 30 (Education)
Dr. Taylor Sullivan
VP of Product and Assessment Science
Dr. Taylor Sullivan leads the design of Workera’s assessment system, pioneering scalable, AI-native products.
Expertise in industrial-organizational psychology. Ensures skill measurement is rigorous, explainable, and trusted for high-stakes enterprise decisions.
15+ years experience designing assessments for government, military, and Fortune 500 organizations.
Former product and assessment leader at Codility and HumRRO
Dr. Marian Pitel-Wali
Senior Assessment Scientist
Senior Assessment Scientist Dr. Marian Pitel-Wali leads the scientific design and governance of Workera’s assessments.
Expertise in industrial-organizational psychology and AI-enabled assessment systems
10+ years experience across assessment science, software, and AI.
Expert in human-in-the-loop scoring governance and co-founder of an acquired assessment tech company.
Andrew Ng
Chairman of the Board
Andrew Ng provides strategic guidance to Workera on the responsible use of AI in education and workforce development.
Globally recognized leader in artificial intelligence, founder of DeepLearning.AI and co-founder of Coursera.
AI Pioneer: Former Chief Scientist at Baidu and founding lead of Google Brain.
Top AI Mind: Authored 200+ research papers and named to the TIME100 AI list of the world’s most influential leaders.
A governed lifecycle
for skill verification.
Workera’s skill verification system follows an end-to-end lifecycle designed for accuracy, consistency, and durability at enterprise scale.
Define capabilities
Clear constructs and proficiency levels grounded in expert input.
Design real-world tasks
Scenario-based work that elicits observable evidence of skill.
Build & validate
Items refined through evidence-centered design, accessibility, and bias checks.
Score with transparent rubrics
Deterministic, rubric-aligned scoring benchmarked against expert raters.
Monitor & govern
Ongoing monitoring for scoring drift, reliability, and construct stability.
Fairness and candidate experience.
Clear language and structured reasoning paths reduce barriers for diverse learners across languages and contexts.
Multimodal response options and accessibility standards support different abilities and preferences.
Counterfactual tests, drift checks, and rubric reviews help identify and correct unfair scoring patterns—without demographic data.
Consistent, rubric-aligned AI scoring reduces subjective variability, with human oversight for edge cases.
Built for responsible AI in high-stakes decisions.
Transparent scoring
Deterministic prompts keep reasoning traceable and suppress unsupported model output.
Human oversight
Review pathways and contestability ensure humans remain involved in consequential decisions.
Continuous monitoring
Drift checks, stability reviews, and scoring audits detect changes before they impact results.
Strong governance
Model and prompt versioning, traceability logs, and strict access controls.
Verified skills that drive real decisions.
Clear, interpretable insights
Every skill result comes with transparent evidence—showing what was measured, how it was scored, and what it means for readiness.
Targeted development
Learners receive personalized, role-relevant recommendations grounded in their verified skill gaps and strengths.
Mobility and career pathways
Skill signals reveal who is ready for new roles, where reskilling is needed, and how teams can grow from within.
Team and capability intelligence
Leaders see consistent, comparable skill data across roles and functions—supporting talent planning and project staffing.
Organizational visibility
Aggregated insights help teams understand workforce strengths, identify capability gaps, and guide investment in learning and transformation efforts.
Progress you can measure
Longitudinal skill signals show growth over time—revealing improvement, proficiency gains, and where support is still needed.
See how Workera works.
Measure any skill. For any role. At any time.