Workhelix Raises $15M to Help Companies Turn AI Hype into Measurable Business Impact

Workhelix, a tech-enabled services company that helps organizations quantify and maximize the value of their AI investments, today announced $15M in Series A funding led by AIX Ventures, with participation from Andrew Ng’s AI Fund, Accenture Ventures, BGV, Bloomberg Beta, Future of Work Partners, Telesoft, Zetta Ventures, Paul Daugherty, Jeff Dean, Reid Hoffman, Yann LeCun, Mira Murati, Sebastian Thrun, and Jeff Wilke. Workhelix shows companies their top opportunities to create value with AI, then measure its impact. This approach has drawn customers that include Wayfair, Coursera, BAYADA, and more than a dozen publicly traded companies.

Business Problems: Billions of Dollars of AI Opportunity without Clear Impact

Despite investing billions of dollars in AI, most companies still struggle to rigorously measure its impact. Without clear guidance, businesses end up chasing hype instead of driving real productivity. To compound the problem, organizations rarely have the right KPIs and measurement frameworks in place to understand what’s actually working. This lack of clarity leads to wasted investments, misaligned projects, and frustration at the board level as leaders demand proof that AI is delivering value.

“Right now, companies are flying blind, struggling to separate AI’s potential from the hype,” said Erik Brynjolfsson, Co-Founder and co-chairman of Workhelix and Director of the Stanford Digital Economy Lab. “Workhelix changes that by not only providing a data-driven roadmap for AI deployment but also tracking what actually moves the dial.”

Workhelix’s Solution: Data-Driven AI Deployment and Measurement

To create its roadmaps, Workhelix analyzes over 250,000 tasks for the typical client to determine exactly where AI can create value. Using proprietary methodologies developed over a decade of research, the platform helps C-suite leaders prioritize AI investments based on real business needs, not hype. Workhelix then deploys engineers with a combination of data science, AI, and econometrics skills to help customers establish cadences for measuring progress and understanding the ROI and performance impact of each AI effort.

“We’re in the first inning of a multidecade transformation of global enterprises from primarily human-powered to AI-powered,” said Shaun Johnson, Founding Partner of AIX Ventures, who is joining Workhelix’s Board of Directors. “The companies that most effectively adopt AI will outcompete their rivals for customers, top talent, and investors. Workhelix helps them do that.”

Workhelix was founded by the world’s leading experts on AI, work, and digital transformation. They include:

• Erik Brynjolfsson - Co-Founder & Co-Chairman - Erik is the Director of the Stanford Digital Economy Lab, a Professor at the Stanford Institute for Human-Centered AI, and a Research Associate at the National Bureau of Economic Research.

• Andrew McAfee - Co-Founder & Co-Chairman - Andy is the Co-Director of the MIT Initiative on the Digital Economy and also the Principal Research Scientist at the MIT Sloan School of Management. He is the author of The Geek Way and the coauthor, with Erik, of The Second Machine Age and other books.

• James Milin - Co-Founder and CEO - James brings experience and DNA from top technology firms including Google and Amazon.

• Daniel Rock - Co-Founder and Director of Research - Daniel is a professor at the Wharton School at the University of Pennsylvania.

“Erik and Daniel pioneered the task-based approach to identifying and measuring AI value. I recommend their technique for every company trying to identify opportunities for AI,” said Andrew Ng, Managing Partner of AI Fund, a venture studio that led the seed investment in Workhelix.

Companies interested in using Workhelix’s platform can learn more at: https://www.workhelix.com/

About Workhelix

Workhelix helps large enterprises effectively identify, deploy and measure the real impact of AI, turning technology into productivity. Using a research-driven, task-based approach, Workhelix analyzes over 250,000 work tasks to identify where AI can create the most value, providing a data-backed roadmap for AI deployment. Its suite of metrics deliver reliable, causal estimates of where and how AI creates value, and where it doesn’t. Workhelix is led by executives and researchers from Stanford, MIT, Wharton, Amazon and Google. The company is backed by AIX Ventures, AI Fund, BGV, Bloomberg Beta, Future of Work Partners, Telesoft, Zetta Ventures, Paul Daugherty, Jeff Dean, Reid Hoffman, Yann LeCun, Mira Murati, Sebastian Thrun, and Jeff Wilke. Learn more at: https://www.workhelix.com/.

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