Pearson to Acquire AI-Native Skills Platform Workera
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Pearson to Acquire AI-Native Skills Platform Workera

The deal adds adaptive assessment and skills intelligence to Pearson's enterprise skilling portfolio.

9/29/2026
•Ali Abounasr El Alaoui
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Pearson, the global lifelong learning company, announced on September 29, 2026, that it has agreed to acquire Workera, an AI-native skills intelligence platform. The Palo Alto-based company helps enterprises verify what their workforce can actually do through adaptive assessment and psychometrics. The announcement did not disclose financial terms for the transaction.


Meeting Enterprise Demand for AI Skills

Demand for workforce transformation is accelerating as AI changes how businesses operate and compete. Employers are seeking more reliable ways to measure what employees know and where critical gaps remain. Pearson's decision to acquire Workera comes as enterprise customers increasingly expect skills intelligence to guide learning investment and talent strategy.

Addressing Workforce Transformation

Organizations are facing urgent demands to reskill employees as artificial intelligence reshapes jobs, workflows, and business models. Pearson is expanding its enterprise learning and skills business to meet this shift with more precise measurement, validation, and development tools. The Workera acquisition reflects Pearson's continued investment in enterprise skilling and its ambition to support workforce transformation at scale.

What Workera Brings to Employers

Workera combines agentic AI, psychometrics, and adaptive assessment to measure demonstrated proficiency through role-specific scenarios and simulations. The platform gives business leaders a live baseline of workforce capability, including AI fluency, and directs employees to learning that closes their specific gaps. It also produces verified outcomes and supports talent decisions across hiring, internal mobility, redeployment, and strategic workforce planning.

Leadership Perspectives

Vishaal Gupta, President of Enterprise Learning and Skills at Pearson, said the ability to assess and develop skills will be key in the era of AI. He noted that Workera has pioneered a new approach to continuously measuring and validating workforce capabilities. Combining Workera's technology with Pearson's expertise, he added, will help enterprises close skills gaps faster and build more agile workforces.

Founder's Vision for Skills

Workera founder and CEO Kian Katanforoosh said the future will require people to develop new skills and learn faster than ever. He explained that Workera was built to harness AI so people can discover what they are capable of and organizations can recognize overlooked talent. Pearson has helped people learn for generations, he said, and together the companies aim to build a gold standard for workforce readiness.

Enterprise Customer Base and Integration

Workera serves blue chip enterprises, including ServiceNow, Accenture, and the United States Space Force, and was founded in 2019 with a team of approximately 60 people. Upon completion, the company will become part of Pearson's Enterprise Learning and Skills business unit. Katanforoosh will join Pearson's leadership team, bringing continued leadership from Workera's headquarters in Palo Alto, California.

Closing Timeline

The acquisition is expected to close in the second half of 2026, subject to regular closing conditions and any required regulatory filings or approvals. Pearson has not disclosed additional financial details or integration costs at this stage. The timing reflects the company's plan to complete the transaction after standard regulatory processes are satisfied.


Pearson's planned acquisition of Workera underscores a broader shift toward verified skills and measurable workforce development. By combining adaptive assessment with Pearson's global learning resources, the company aims to give employers clearer insight into current capabilities and future readiness. The deal positions Pearson to compete more directly in the enterprise skills intelligence market as organizations adapt to AI-driven change.