Workera Startup

US-based startup Workera, an assessment platform that evaluates the skills of data scientists, machine learning engineers, and software engineers has announced US$ 5 million in seed funding on 10 December 2020.

The seed funding round was led by Owl Ventures and AI Fund, with participation from Plug and Play Ventures.

Workera will utilize the investment to further extend its adaptive skills assessments platform that helps workers unlock their full potential in data science, machine learning and other AI technologies.

About Workera

Workera Startup

Founded in 2019 by Kian Katanforoosh, Workera provides performance feedback, learning plans, certification and referrals to the best jobs in AI. It partners with companies across industries to help them establish a top-performing AI team, including engineering, applied science and research teams in Education, Manufacturing, Healthcare, Autonomous Driving, Energy, Transportation, Robotics, Social Media, FinTech, Agriculture and others.

The founder of Workera Kian Katanforoosh is an award-winning Stanford Computer Science Lecturer who has taught AI to over a million people. “Today’s attention economy makes it nearly impossible to identify the right content to meet individual goals, the content is there, but it’s hard to know where to even start,” said Kian Katanforoosh. “We want to be the backbone for the learning economy, interpreting skills, understanding roles, and providing personalized mentorship at scale.”

Understanding which skills are essential and upskilling their workforce in those skills is one of the greatest challenges that enterprises faced in developing Data and AI capabilities. People face challenges in how to learn the skills that will best serve their careers. Kian Katanforoosh and Lee took an inventive approach to assess and benchmark skills that directly maps to enterprise-wide development.

The Workera team has devised a suite of computerized adaptive assessments to evaluate the more than 500 micro-skills needed to carry out essential tasks of Data and AI projects. The technical employees use assessments in machine learning, data science, data analytics, and software engineering, while the non-technical employees take data literacy assessments to enable a companywide culture of data fluency.

Workera’s adaptive assessments generate personalized curricula from the content that is readily available across free and paid platforms, ranging from Arxiv to Github and more. Workera guides the user to the most effective online course, video, research paper, or other materials, and changes the curriculum as the user’s skills develop.

“Companies are investing billions to develop in-house talent in AI and other areas; measuring the impact of these investments is critically important. Workera’s platform allows companies to accurately make these measurements, and thereby prioritize the most impactful upskilling needs,” said Andrew Ng, Chairman of Workera.

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Komal writes about the startup ecosystem on VCBay. She is an Economics Hons. graduate from Miranda House, Delhi University, and is passionate about the world of entrepreneurship and finance.



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